AES Encryption
Encryption RC4, AES, and RSA. Explanations, Javascript program, & Python codes

Agreement
Concordance Explained
Agreement Evaluation Program and Explained
Bland and Altman Plot Program and Explained
Cronbach's Alpha Program and Explained
Intraclass Correlation Program and Explained
Kappa (Cohen and Fleiss) for Ordinal Data Program and Explained
Kappa for Nominal Data Program and Explained
Kendall's W for Ranks Program and Explained
Kuder Richardson Coefficient for Binary Data Program and Explained
Lin's Concordance Coefficient Program and Explained
Sample Size for Comparing Two Cronbach's Alphas Program
Sample Size for Estimating a Cronbach's Alpha Program and Explained and Table

Alpha
Concordance Explained
Cronbach's Alpha Program and Explained
Probability Explained
Sample Size for Comparing Two Cronbach's Alphas Program
Sample Size for Estimating a Cronbach's Alpha Program and Explained and Table

Analysis of Variance
Cross Over Trials Program and Explanation
Differences Between Measurements (Unpaired Groups) Explained and Program
Friedman's Two Way Analysis of Variance Explanation and Calculations
General Linear Model General Linear Model (Gaussian) Explained and R Code
Intraclass Correlation Program and Explained
Multiple Regression Program and Explained
Precision of Measurements Program and Explained
Sample Size for Unpaired Difference of Measurements Program and Table

Analysis of covariance
General Linear Model General Linear Model (Gaussian) Explained and R Code

Anscombe Transformation
Numerical Transformation Program and Explained

Arcsine Transformation
Numerical Transformation Program and Explained

Area Under Coordinates
Area Under Coordinates Program

Armitage
Sequential Paired Analysis Explained
Sequential Paired Difference Analysis Program
Sequential Paired Preference Analysis Program

Backpropagation
Backpropagation Neural Network Program and Explained

Bar Plot
Bar Plot Program
MacroPlot Help and Program and Explained

Bayes
Classification by Bayes Probability Explained
Classification by Basic Bayes Probability Program and Explained
Classification by Naive Bayes Probability Program and Explained
Discriminant Analysis Program and Explained
Prediction Statistics Program and Explained

Bernulli
CUSUM for Bernoulli Distribution Explained and R Code

Binary
Integer - Dec Hex Bin Color Code conversions Program
Kuder Richardson Coefficient for Binary Data Program and Explained

Binomial
Binomial Test Explainations and Calculations
CUSUM for Binomial Distributions Explained and R Code
CUSUM for Negative Binomial Distributions Explained and R Code

Binomial Logistic Regression
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code

Bioequivalence
Bioequivalence (Sample Size and Analysis) Program Program
Equivalence Explained and Sample Size Tables Explained and Table

Bland and Altman Plot
Agreement Evaluation Program and Explained

Box Cox Transformation
Numerical Transformation Program and Explained

Casewise deletion
Missing Data Handling missing data using R

Chi Square
Chi Square for Large Contingency Tables and Spearman Correlation Coefficient Program
Data Testing for Normal Distribution Program and Explained
Difference Between Two Proportions (Unpaired) Program
Differences Between Proportions (Unpaired) Explained
Probability of Chi Square Explanations, Calculations, Codes, and Tables
Regression Analysis Using Proportions Program

Classification
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
Classification by Bayes Probability Explained
Classification by Basic Bayes Probability Program and Explained
Classification by Naive Bayes Probability Program and Explained
Discriminant Analysis Program and Explained
General Linear Model General Linear Model (Gaussian) Explained and R Code
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code
Negative Binomial Regression Explained and R Code
Ordinal Logistic Regression Ordinal Logistic Regression Explained and R Code
Poisson Regression Poisson Regression Explained and R Code

Cluster Randomisation
Cluster Randomisation Data Analysis Program and Explained
Sample Size for Cluster Randomisation Data Analysis Program

Coefficient of Variance
Bioequivalence (Sample Size and Analysis) Program Program
Equivalence Explained and Sample Size Tables Explained and Table
Precision of Measurements Program and Explained

Cohen
Concordance Explained
Kappa (Cohen and Fleiss) for Ordinal Data Program and Explained

Color Code
Integer - Dec Hex Bin Color Code conversions Program

Combine Means and Standard Deviations
Combine Means and SDs from multiple groups Into One Group Explanations and Calculations

Compare Groups
Analysis of Covariance (ANCOVA) Explained and R Codes
Cluster Randomisation Data Analysis Program and Explained
Compare Two Counts Using Poisson Distribution Program
Compare Two Regression Lines (Covariance Analysis) Program
Compare Two Summary Regression Coefficients Program
Difference Between Two Proportions (Unpaired) Program
Differences Between Measurements (Unpaired Groups) Explained and Program
Differences Between Proportions (Unpaired) Explained
Differences Between Proportions in Multiple Groups Program
Equivalence Between Two Means (Sample Size and Analysis) Program
Equivalence Between Two Proportions (Sample Size and Analysis) Program
Equivalence Explained and Sample Size Tables Explained and Table
Group Data Plot Program
Make Effect Size for Meta-analysis Program
Meta-analysis for Comparing Two Unpaired Groups Program and Explained
Meta-analysis for Correlation Coefficients Program
Poisson Distribution and Test Program
Poisson Distribution and Tests Explained
Sample Size for Cluster Randomisation Data Analysis Program
Sample Size for Comparing Two Counts Program and Explain and Tables
Sample Size for Comparing Two Proportions Program and Explained and Tables
Sample Size for Matched Pair Comparison of Two Proportions Program and Explained and Tables
Sample Size for Survival (Kaplan Meier Log Rank Test) Explanation, Program, and Tables
Sample Size for Unpaired Difference of Measurements Program and Table
Sequential Unpaired Analysis Explained
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Means Program
Sequential Unpaired Difference Between Two Ordinal Arrays Program
Sequential Unpaired Difference Between Two Survival Rates Program
Survival - Kaplan Meier Log Rank Test Program and Explained
Unequal Sample Size Adjustments Program and Explained

Concordance
Concordance Explained
Agreement Evaluation Program and Explained
Bland and Altman Plot Program and Explained
Cronbach's Alpha Program and Explained
Intraclass Correlation Program and Explained
Kappa (Cohen and Fleiss) for Ordinal Data Program and Explained
Kappa for Nominal Data Program and Explained
Kendall's W for Ranks Program and Explained
Kuder Richardson Coefficient for Binary Data Program and Explained
Lin's Concordance Coefficient Program and Explained
Sample Size for Comparing Two Cronbach's Alphas Program
Sample Size for Estimating a Cronbach's Alpha Program and Explained and Table

Confidence Interval
Agreement Evaluation Program and Explained
Differences Between Measurements (Unpaired Groups) Explained and Program
Equivalence Between Two Means (Sample Size and Analysis) Program
Equivalence Between Two Proportions (Sample Size and Analysis) Program
Group Data Plot Program
Paired Difference Explained and Program
Sample Size for Estimating Population Means Program and Table and Explained
Sample Size for Estimating Population Proportion Program and Table and Explained
Sample Size for Estimating Population Standard Deviation Program and Table
Sample Size for Paired Difference Program and Table
Sample Size for Population Parameter Estimation Explained
Sample Size for Unpaired Difference of Measurements Program and Table

Contingency Table
Chi Square for Large Contingency Tables and Spearman Correlation Coefficient Program
Count Table Plot Program
Difference Between Two Proportions (Unpaired) Program
Differences Between Proportions (Unpaired) Explained
Regression Analysis Using Proportions Program
Standardization of Proportions Program

Correlation
Chi Square for Large Contingency Tables and Spearman Correlation Coefficient Program
Compare Two Summary Regression Coefficients Program
Correlation and Regression Program and Explained
Cronbach's Alpha Program and Explained
Meta-analysis for Correlation Coefficients Program
Multiple Regression Program and Explained
Regression Analysis Using Proportions Program
Sample Size for Pearson's Correlation Coefficient Program and Explained and Table

Count
CUSUM for Negative Binomial Distributions Explained and R Code
CUSUM for Poisson Distributed Counts Explanation and R Code
Compare Two Counts Using Poisson Distribution Program
Count Table Plot Program
Negative Binomial Regression Explained and R Code
Poisson Distribution and Test Program
Poisson Distribution and Tests Explained
Poisson Regression Poisson Regression Explained and R Code
Sample Size for Comparing Two Counts Program and Explain and Tables
Sequential Unpaired Difference Between Two Counts Program

Covariance
Analysis of Covariance (ANCOVA) Explained and R Codes
Compare Two Regression Lines (Covariance Analysis) Program
Compare Two Summary Regression Coefficients Program
Multiple Regression Program and Explained

Critical Difference
Bioequivalence (Sample Size and Analysis) Program Program
Equivalence Between Two Means (Sample Size and Analysis) Program
Equivalence Between Two Proportions (Sample Size and Analysis) Program
Equivalence Explained and Sample Size Tables Explained and Table

Cronbach Alpha
Concordance Explained
Cronbach's Alpha Program and Explained
Sample Size for Comparing Two Cronbach's Alphas Program
Sample Size for Estimating a Cronbach's Alpha Program and Explained and Table

Cross Over
Cross Over Trials Program and Explanation

Curve Fit
Curve Fitting for Receiver Operator Characteristics (ROCs) Program and Explained
Curve Fitting Program and Explained

CUSUM
CUSUM for Binomial Distributions Explained and R Code
CUSUM for Bernoulli Distribution Explained and R Code
CUSUM for Inverse Gaussian Distributed Values Explained and R Code
CUSUM for Negative Binomial Distributions Explained and R Code
CUSUM for Normally Distributed Means Explained and R code
CUSUM for Normally Distributed Variance Explained and R Code
CUSUM for Poisson Distributed Counts Explanation and R Code

Data Modelling
Backpropagation Neural Network Program and Explained
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
Classification by Bayes Probability Explained
Classification by Basic Bayes Probability Program and Explained
Classification by Naive Bayes Probability Program and Explained
Discriminant Analysis Program and Explained
General Linear Model General Linear Model (Gaussian) Explained and R Code
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code
Negative Binomial Regression Explained and R Code
Ordinal Logistic Regression Ordinal Logistic Regression Explained and R Code
Poisson Regression Poisson Regression Explained and R Code

Data Plot
MacroPlot Help and Program and Explained

Decimal
Integer - Dec Hex Bin Color Code conversions Program

Difficulty Index
Item Analysis for Multiple choice Questions Program and Explained

Difference Between Groups
Analysis of Covariance (ANCOVA) Explained and R Codes
Cluster Randomisation Data Analysis Program and Explained
Compare Two Counts Using Poisson Distribution Program
Compare Two Regression Lines (Covariance Analysis) Program
Compare Two Summary Regression Coefficients Program
Difference Between Two Proportions (Unpaired) Program
Differences Between Measurements (Unpaired Groups) Explained and Program
Differences Between Proportions (Unpaired) Explained
Differences Between Proportions in Multiple Groups Program
Equivalence Between Two Means (Sample Size and Analysis) Program
Equivalence Between Two Proportions (Sample Size and Analysis) Program
Equivalence Explained and Sample Size Tables Explained and Table
Group Data Plot Program
Make Effect Size for Meta-analysis Program
Meta-analysis for Comparing Two Unpaired Groups Program and Explained
Meta-analysis for Correlation Coefficients Program
Poisson Distribution and Test Program
Poisson Distribution and Tests Explained
Sample Size for Cluster Randomisation Data Analysis Program
Sample Size for Comparing Two Counts Program and Explain and Tables
Sample Size for Comparing Two Proportions Program and Explained and Tables
Sample Size for Matched Pair Comparison of Two Proportions Program and Explained and Tables
Sample Size for Survival (Kaplan Meier Log Rank Test) Explanation, Program, and Tables
Sample Size for Unpaired Difference of Measurements Program and Table
Sequential Unpaired Analysis Explained
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Means Program
Sequential Unpaired Difference Between Two Ordinal Arrays Program
Sequential Unpaired Difference Between Two Survival Rates Program
Survival - Kaplan Meier Log Rank Test Program and Explained
Unequal Sample Size Adjustments Program and Explained

Discriminant Analysis
Discriminant Analysis Program and Explained

Discrimination Index
Item Analysis for Multiple choice Questions Program and Explained

Distribution Plot
Data Testing for Normal Distribution Program and Explained

Dunn's Test
Differences Between Measurements (Unpaired Groups) Explained and Program

Effect Size
Make Effect Size for Meta-analysis Program
Meta-analysis for Comparing Two Unpaired Groups Program and Explained
Meta-regression Program
Sample Size Explained

Encryption
Encryption RC4, AES, and RSA. Explanations, Javascript program, & Python codes

Equivalence
Bioequivalence (Sample Size and Analysis) Program Program
Equivalence Between Two Means (Sample Size and Analysis) Program
Equivalence Between Two Proportions (Sample Size and Analysis) Program
Equivalence Explained and Sample Size Tables Explained and Table

Error Type I and II
Probability Explained
Sample Size Explained

EWMA
Exponentially Weighted Moving Average Program and Explained

Exponential
Exponentially Weighted Moving Average Program and Explained
Numerical Transformation Program and Explained

F
Probability of F Explanation, Calculations, Codes, and Tables

Factor Analysis
Factor Analysis - Factor Rotation Program
Factor Analysis - Parallel Analysis Program and Explained and Tables
Factor Analysis - Principal Component Extraction Program
Factor Analysis - Produce Factor Scores Program
Factor Analysis Explained and Program

Factor Retention
Factor Analysis - Parallel Analysis Program and Explained and Tables

Factor Scores
Factor Analysis - Produce Factor Scores Program
Factor Analysis Explained and Program

False Positive and Negative
Prediction Statistics Program and Explained
Receiver Operator Characteristics (ROCs) Program and Explained
Sample Size for Prediction Statistics Program and Explained and Table

File I/O
R Explained Use of R on this site

Fisher's Exact Probability
Difference Between Two Proportions (Unpaired) Program
Differences Between Proportions (Unpaired) Explained

Fisher's Z
Correlation and Regression Program and Explained

Fixed Effect
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

Fleiss
Concordance Explained
Kappa (Cohen and Fleiss) for Ordinal Data Program and Explained

Fleming
Phase II Study Explained
Sample Size for Phase II Study (Fleming's Procedure) Explanations, Calculations, and Tables

Forest Plot
Forest Plot Program
MacroPlot Help and Program and Explained

Friedman-Tukey Transformation
Numerical Transformation Program and Explained

Friedman's Two Way Analysis of Variance
Friedman's Two Way Analysis of Variance Explanation and Calculations

Funnel Plot
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

Gehan
Phase II Study Explained
Sample Size for Phase II Study (Gehan's Procedure) Explanations, Calculations and Tables

General Linear Model
General Linear Model General Linear Model (Gaussian) Explained and R Code

Generalized Linear Models
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code
Negative Binomial Regression Explained and R Code
Ordinal Logistic Regression Ordinal Logistic Regression Explained and R Code
Poisson Regression Poisson Regression Explained and R Code

Goodness of Fit
Data Testing for Normal Distribution Program and Explained

Graphics
Bar Plot Program
Count Table Plot Program
Data Testing for Normal Distribution Program and Explained
Discriminant Analysis Program and Explained
Forest Plot Program
Group Data Plot Program
MacroPlot Help and Program and Explained
Normal Distribution Plot Program
Pie Chart Program
Scatter Plot Program

Heterogeneity
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

Hex
Integer - Dec Hex Bin Color Code conversions Program

Imputation
Missing Data Handling missing data using R

Integer
Integer - Dec Hex Bin Color Code conversions Program

Interaction
Multiple Regression Program and Explained

Intraclass Correlation
Cluster Randomisation Data Analysis Program and Explained
Concordance Explained
Intraclass Correlation Program and Explained
Sample Size for Cluster Randomisation Data Analysis Program

Inverse Gaussian
CUSUM for Inverse Gaussian Distributed Values Explained and R Code

Item Analysis
Item Analysis for Multiple choice Questions Program and Explained

Nothing in J

K Nearest Neighbour
Missing Data Handling missing data using R

Kaplan Meier
Sample Size for Survival (Kaplan Meier Log Rank Test) Explanation, Program, and Tables
Survival - Kaplan Meier Log Rank Test Program and Explained

Kappa
Concordance Explained
Kappa (Cohen and Fleiss) for Ordinal Data Program and Explained
Kappa for Nominal Data Program and Explained

Kendall
Concordance Explained
Kendall's W for Ranks Program and Explained

Kolmogoriv Smirnov
Data Testing for Normal Distribution Program and Explained

Kruskall Wallis
Differences Between Measurements (Unpaired Groups) Explained and Program

Kuder Richardson
Concordance Explained
Kuder Richardson Coefficient for Binary Data Program and Explained

Kurtosis
Data Testing for Normal Distribution Program and Explained

Least Significant Difference
Differences Between Measurements (Unpaired Groups) Explained and Program

Likelihood Ratio
Prediction Statistics Program and Explained
Receiver Operator Characteristics (ROCs) Program and Explained

Lin's Concordance Coefficient
Agreement Evaluation Program and Explained

Logarithm Transformation
Numerical Transformation Program and Explained

Logistic Regression
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code
Ordinal Logistic Regression Ordinal Logistic Regression Explained and R Code

Logit and Logistic Transformation
Numerical Transformation Program and Explained

MacroPlot
Bar Plot Program
Count Table Plot Program
Data Testing for Normal Distribution Program and Explained
Forest Plot Program
Group Data Plot Program
MacroPlot Help and Program and Explained
Normal Distribution Plot Program
Pie Chart Program
Scatter Plot Program

Make Table
Make Table of Counts from Columned Data Program and Explained

Mann WHitney U Test
Differences Between Measurements (Unpaired Groups) Explained and Program

Marascuilo Procedure
Differences Between Proportions (Unpaired) Explained
Differences Between Proportions in Multiple Groups Program

Matched Pair
Differences Between Proportions (Unpaired) Explained
Sample Size for Matched Pair Comparison of Two Proportions Program and Explained and Tables

McNemar
McNemar Test for Paired Changes in Proportions Program and Explained
Sample Size for McNemar Test of Paired Changes in Proportions Program and Explained and Table

Mean
Combine Means and SDs from multiple groups Into One Group Explanations and Calculations
Data Testing for Normal Distribution Program and Explained
Group Data Plot Program
Make Effect Size for Meta-analysis Program
Meta-analysis for Comparing Two Unpaired Groups Program and Explained
Normal Distribution Plot Program
Probability Explained
Sample Size for Estimating Population Means Program and Table and Explained
Sample Size for Population Parameter Estimation Explained

Median Test
Differences Between Measurements (Unpaired Groups) Explained and Program

Median
Data Testing for Normal Distribution Program and Explained

Meta-analysis
Make Effect Size for Meta-analysis Program
Meta-analysis for Comparing Two Unpaired Groups Program and Explained
Meta-analysis for Correlation Coefficients Program
Meta-analysis for Predictions Program and Explained
Meta-regression Program

Meta-regression
Meta-regression Program

Missing Data
Missing Data Handling missing data using R

Modelling
Backpropagation Neural Network Program and Explained
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
General Linear Model General Linear Model (Gaussian) Explained and R Code
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code
Negative Binomial Regression Explained and R Code
Ordinal Logistic Regression Ordinal Logistic Regression Explained and R Code
Poisson Regression Poisson Regression Explained and R Code

Multinomial Logistic Regression
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code

Multiple Choice Questions
Item Analysis for Multiple choice Questions Program and Explained

Multiple Correlation Coefficient
Multiple Regression Program and Explained

Multiple Groups
Sample Size for Unpaired Difference of Measurements Program and Table

Multiple Proportions
Differences Between Proportions (Unpaired) Explained
Differences Between Proportions in Multiple Groups Program

Multiple Regression
General Linear Model General Linear Model (Gaussian) Explained and R Code
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code
Multiple Regression Program and Explained
Negative Binomial Regression Explained and R Code
Ordinal Logistic Regression Ordinal Logistic Regression Explained and R Code
Path Analysis Program and Explained
Poisson Regression Poisson Regression Explained and R Code
Sample Size for Multiple Regression Program and Explained and Table

Naive Bayes Probability
Classification by Bayes Probability Explained
Classification by Naive Bayes Probability Program and Explained

Negative Binomial Distribution
CUSUM for Negative Binomial Distributions Explained and R Code
Negative Binomial Regression Explained and R Code

Neural Net
Backpropagation Neural Network Program and Explained

Nominal
Kappa for Nominal Data Program and Explained

Non-parametric Comparisons
Compare Two Counts Using Poisson Distribution Program
Differences Between Measurements (Unpaired Groups) Explained and Program
Differences Between Proportions in Multiple Groups Program
Difference Between Two Proportions (Unpaired) Program
Differences Between Proportions (Unpaired) Explained
Friedman's Two Way Analysis of Variance Explanation and Calculations
Poisson Distribution and Test Program
Poisson Distribution and Tests Explained
Survival - Kaplan Meier Log Rank Test Program and Explained

Normal Distribution Plot
MacroPlot Help and Program and Explained
Normal Distribution Plot Program

Normal Distribution
Data Testing for Normal Distribution Program and Explained
Normal Distribution Plot Program
Numerical Transformation Program and Explained
Probability of F Explanation, Calculations, Codes, and Tables
Probability of Standard Deviate z Explains, Calculations, Codes, and Tables
Probability of Student's t Explains, Calculations, Codes, and Tables


Numerical Transformation
Numerical Transformation Program and Explained

Oblique Oblimin
Factor Analysis - Factor Rotation Program
Factor Analysis Explained and Program

Odd
Difference Between Two Proportions (Unpaired) Program
Make Effect Size for Meta-analysis Program
Meta-analysis for Comparing Two Unpaired Groups Program and Explained
Odd and Risk Interconversion Program and Explained

Odds Ratio
Difference Between Two Proportions (Unpaired) Program
Differences Between Proportions (Unpaired) Explained
Odd and Risk Interconversion Program and Explained

One Group
Paired Difference Explained and Program
Precision of Measurements Program and Explained
Sample Size for Estimating Population Means Program and Table and Explained
Sample Size for Estimating Population Proportion Program and Table and Explained
Sample Size for Estimating Population Standard Deviation Program and Table
Sample Size for Paired Difference Program and Table
Sample Size for Population Parameter Estimation Explained

One Way Analysis of Variance
Differences Between Measurements (Unpaired Groups) Explained and Program

Order
Numerical Transformation Program and Explained

Ordinal
Differences Between Measurements (Unpaired Groups) Explained and Program
Kappa (Cohen and Fleiss) for Ordinal Data Program and Explained
Ordinal Logistic Regression Ordinal Logistic Regression Explained and R Code
Paired Difference Program
Sequential Unpaired Difference Between Two Ordinal Arrays Program

Ordinal Logistic Regression
Ordinal Logistic Regression Ordinal Logistic Regression Explained and R Code

Orthogonal
Factor Analysis - Factor Rotation Program
Factor Analysis Explained and Program

Paired Comparison
Paired Difference Explained and Program
Sample Size for Matched Pair Comparison of Two Proportions Program and Explained and Tables

Paired Difference
Paired Difference Explained and Program
Sample Size for Paired Difference Program and Table
Sequential Paired Analysis Explained
Sequential Paired Difference Analysis Program

Paired Preference
Sequential Paired Analysis Explained
Sequential Paired Preference Analysis Program

Paired Sequential
Sequential Paired Analysis Explained
Sequential Paired Difference Analysis Program
Sequential Paired Preference Analysis Program

Paired t Test
Paired Difference Explained and Program

Paired
McNemar Test for Paired Changes in Proportions Program and Explained
Paired Difference Explained and Program
Sample Size for McNemar Test of Paired Changes in Proportions Program and Explained and Table

Parallel Analysis
Factor Analysis - Parallel Analysis Program and Explained and Tables
Factor Analysis Explained and Program

Partial Correlation and Regression Coefficients
Multiple Regression Program and Explained

Path Analysis
Path Analysis Program and Explained

Pearson
Correlation and Regression Program and Explained

PEER
Odd and Risk Interconversion Program and Explained

Percentile
Data Testing for Normal Distribution Program and Explained

Permutation Test
Differences Between Measurements (Unpaired Groups) Explained and Program
Paired Difference Explained and Program

Phase II
Phase II Study Explained
Sample Size for Phase II Study (Fleming's Procedure) Explanations, Calculations, and Tables
Sample Size for Phase II Study (Gehan's Procedure) Explanations, Calculations and Tables
Sample Size for Phase II Study (Simon's Procedure) Explanation, Calculations, and Tables

Phase IV Trial
Sample Size for Rare Events Program and Explained and Table

Pie Chart
MacroPlot Help and Program and Explained
Pie Chart Program

Pilot
Sample Size for Estimating Population Means Program and Table and Explained
Sample Size for Paired Difference Program and Table
Sample Size for Unpaired Difference of Measurements Program and Table
Sample Size Explained

Plot
Bar Plot Program
Count Table Plot Program
Data Testing for Normal Distribution Program and Explained
Discriminant Analysis Program and Explained
Forest Plot Program
Group Data Plot Program
MacroPlot Help and Program and Explained
Normal Distribution Plot Program
Pie Chart Program
Scatter Plot Program

Poisson
Compare Two Counts Using Poisson Distribution Program
CUSUM for Poisson Distributed Counts Explanation and R Code
Numerical Transformation Program and Explained
Poisson Distribution and Test Program
Poisson Distribution and Tests Explained
Poisson Regression Poisson Regression Explained and R Code
Sample Size for Comparing Two Counts Program and Explain and Tables
Sample Size for Rare Events Program and Explained and Table

Poisson Regression
Poisson Regression Poisson Regression Explained and R Code

Polynomial
Curve Fitting Program and Explained
Numerical Transformation Program and Explained

Population Parameters
Sample Size for Estimating Population Means Program and Table and Explained
Sample Size for Estimating Population Proportion Program and Table and Explained
Sample Size for Estimating Population Standard Deviation Program and Table
Sample Size for Population Parameter Estimation Explained

Post Hoc Comparisons
Differences Between Measurements (Unpaired Groups) Explained and Program
Differences Between Proportions (Unpaired) Explained
Differences Between Proportions in Multiple Groups Program

Post Marketing Survey
Sample Size for Rare Events Program and Explained and Table

Power Transformation
Numerical Transformation Program and Explained

Power
Probability Explained
Sample Size Explained

Pre-test and Post-test Probabilities
Prediction Statistics Program and Explained

Precision
Precision of Measurements Program and Explained

Prediction
Curve Fitting for Receiver Operator Characteristics (ROCs) Program and Explained
Meta-analysis for Predictions Program and Explained
Prediction Statistics Program and Explained
Receiver Operator Characteristics (ROCs) Program and Explained
Sample Size for Prediction Statistics Program and Explained and Table
Sample Size for Receiver Operator Characteristics (ROCs) Program and Explained and Tables

Principal Component
Factor Analysis - Principal Component Extraction Program
Factor Analysis Explained and Program

Probability
Backpropagation Neural Network Program and Explained
Binomial Test Program and Explained
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code
Poisson Distribution and Test Program
Poisson Distribution and Tests Explained
Probability of Chi Square Explanations, Calculations, Codes, and Tables
Probability of F Explanation, Calculations, Codes, and Tables
Probability of Standard Deviate z Explains, Calculations, Codes, and Tables
Probability of Student's t Explains, Calculations, Codes, and Tables

Probability Explained
Regression Analysis Using Proportions Program

Proportion
CUSUM for Bernoulli Distribution Explained and R Code
CUSUM for Binomial Distributions Explained and R Code
CUSUM for Negative Binomial Distributions Explained and R Code
Difference Between Two Proportions (Unpaired) Program
Differences Between Proportions (Unpaired) Explained
Differences Between Proportions in Multiple Groups Program
Equivalence Between Two Proportions (Sample Size and Analysis) Program
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
Make Effect Size for Meta-analysis Program
McNemar Test for Paired Changes in Proportions Program and Explained
Meta-analysis for Comparing Two Unpaired Groups Program and Explained
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code
Sample Size for Comparing Two Proportions Program and Explained and Tables
Sample Size for Matched Pair Comparison of Two Proportions Program and Explained and Tables
Sample Size for McNemar Test of Paired Changes in Proportions Program and Explained and Table
Sample Size for Population Parameter Estimation Explained
Sequential Probability Ratio Test (SPRT) for Proportions Program
Sequential Unpaired Difference Between Two Counts Program
Standardization of Proportions Program

Publication Bias
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

Q
Meta-analysis for Comparing Two Unpaired Groups Program and Explained
Meta-analysis for Predictions Program and Explained

QQ Plot
Data Testing for Normal Distribution Program and Explained

Quality
CUSUM Explained
CUSUM for Binomial Distributions Explained and R Code
CUSUM for Bernoulli Distribution Explained and R Code
CUSUM for Inverse Gaussian Distributed Values Explained and R Code
CUSUM for Negative Binomial Distributions Explained and R Code
CUSUM for Normally Distributed Means Explained and R code
CUSUM for Normally Distributed Variance Explained and R Code
CUSUM for Poisson Distributed Counts Explanation and R Code
Exponentially Weighted Moving Average Program and Explained
Quality Statistics Explained

R
Missing Data Handling missing data using R
R Explained Use of R on this site

Radial Plot
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

Random Effect
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

Random Numbers
Random Numbers Program and Codes

Rank Correlation
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

Rank
Kendall's W for Ranks Program and Explained
Numerical Transformation Program and Explained

Rare Events
Sample Size for Rare Events Program and Explained and Table
Sample Size to Detect Extreme Rare Events Program and Explanation

Ratio of Means
Bioequivalence (Sample Size and Analysis) Program Program
Equivalence Explained and Sample Size Tables Explained and Table
Make Effect Size for Meta-analysis Program
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

RC4 Encryption
Encryption RC4, AES, and RSA. Explanations, Javascript program, & Python codes

Ratio
Numerical Transformation Program and Explained

Receiver Operator Characteristics
Curve Fitting for Receiver Operator Characteristics (ROCs) Program and Explained
Meta-analysis for Predictions Program and Explained
Receiver Operator Characteristics (ROCs) Program and Explained
Sample Size for Receiver Operator Characteristics (ROCs) Program and Explained and Tables

Regression
Analysis of Covariance (ANCOVA) Explained and R Codes
Backpropagation Neural Network Program and Explained
Compare Two Regression Lines (Covariance Analysis) Program
Compare Two Summary Regression Coefficients Program
Correlation and Regression Program and Explained
Curve Fitting Program and Explained
General Linear Model General Linear Model (Gaussian) Explained and R Code
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
Multinomial Logistic Regression Multinomial Logistic Regression Explained and R Code
Multiple Regression Program and Explained
Negative Binomial Regression Explained and R Code
Ordinal Logistic Regression Ordinal Logistic Regression Explained and R Code
Path Analysis Program and Explained
Poisson Regression Poisson Regression Explained and R Code
Regression Analysis Using Proportions Program

Relative Risks
Difference Between Two Proportions (Unpaired) Program
Differences Between Proportions (Unpaired) Explained

Reliability
Cronbach's Alpha Program and Explained

Risk Difference
Difference Between Two Proportions (Unpaired) Program
Differences Between Proportions (Unpaired) Explained
Odd and Risk Interconversion Program and Explained

Risk Ratio
Difference Between Two Proportions (Unpaired) Program
Differences Between Proportions (Unpaired) Explained
Odd and Risk Interconversion Program and Explained

Risk
Difference Between Two Proportions (Unpaired) Program
Make Effect Size for Meta-analysis Program
Meta-analysis for Comparing Two Unpaired Groups Program and Explained
Odd and Risk Interconversion Program and Explained

Robust Rank Ordered Test
Differences Between Measurements (Unpaired Groups) Explained and Program

Roman Square
Cross Over Trials Program and Explanation

Rosenthal
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

Rotation
Factor Analysis - Factor Rotation Program
Factor Analysis Explained and Program

RSA Encryption
Encryption RC4, AES, and RSA. Explanations, Javascript program, & Python codes

RStudio
R Explained Use of R on this site

Sample Size
Bioequivalence (Sample Size and Analysis) Program Program
Concordance Explained
Differences Between Measurements (Unpaired Groups) Explained and Program
Differences Between Proportions (Unpaired) Explained
Equivalence Between Two Means (Sample Size and Analysis) Program
Equivalence Between Two Proportions (Sample Size and Analysis) Program
Equivalence Explained and Sample Size Tables Explained and Table
Paired Difference Explained and Program
Phase II Study Explained
Poisson Distribution and Test Program
Sample Size for Comparing Two Counts Program and Explain and Tables
Sample Size for Comparing Two Cronbach's Alphas Program
Sample Size for Comparing Two Proportions Program and Explained and Tables
Sample Size for Estimating Population Means Program and Table and Explained
Sample Size for Estimating Population Proportion Program and Table and Explained
Sample Size for Estimating Population Standard Deviation Program and Table
Sample Size for Estimating a Cronbach's Alpha Program and Explained and Table
Sample Size for Matched Pair Comparison of Two Proportions Program and Explained and Tables
Sample Size for McNemar Test of Paired Changes in Proportions Program and Explained and Table
Sample Size for Multiple Regression Program and Explained and Table
Sample Size for Paired Difference Program and Table
Sample Size for Pearson's Correlation Coefficient Program and Explained and Table
Sample Size for Phase II Study (Fleming's Procedure) Explanations, Calculations, and Tables
Sample Size for Phase II Study (Gehan's Procedure) Explanations, Calculations and Tables
Sample Size for Phase II Study (Simon's Procedure) Explanation, Calculations, and Tables
Sample Size for Population Parameter Estimation Explained
Sample Size for Prediction Statistics Program and Explained and Table
Sample Size for Rare Events Program and Explained and Table
Sample Size for Receiver Operator Characteristics (ROCs) Program and Explained and Tables
Sample Size for Survival (Kaplan Meier Log Rank Test) Explanation, Program, and Tables
Sample Size for Unpaired Difference of Measurements Program and Table
Sample Size to Detect Extreme Rare Events Program and Explanation
Sample Size Explained

Scatter Plot
MacroPlot Help and Program and Explained
Scatter Plot Program

Scheffee's Least Significant Difference
Differences Between Measurements (Unpaired Groups) Explained and Program

Sensitivity
Prediction Statistics Program and Explained
Receiver Operator Characteristics (ROCs) Program and Explained
Sample Size for Prediction Statistics Program and Explained and Table

Sequential
Sequential Analysis Explained
Sequential Paired Analysis Explained
Sequential Paired Difference Analysis Program
Sequential Paired Preference Analysis Program
Sequential Probability Ratio Test (SPRT) by Wald Explained
Sequential Probability Ratio Test (SPRT) for Means Program
Sequential Probability Ratio Test (SPRT) for Proportions Program
Sequential Unpaired Analysis Explained
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Proportions Program
Sequential Unpaired Difference Between Two Means Program
Sequential Unpaired Difference Between Two Ordinal Arrays Program
Sequential Unpaired Difference Between Two Survival Rates Program

Shapiro Francia
Data Testing for Normal Distribution Program and Explained

Simon
Phase II Study Explained
Sample Size for Phase II Study (Simon's Procedure) Explanation, Calculations, and Tables

Skewness
Data Testing for Normal Distribution Program and Explained

Spearman
Chi Square for Large Contingency Tables and Spearman Correlation Coefficient Program

Specificity
Prediction Statistics Program and Explained
Receiver Operator Characteristics (ROCs) Program and Explained
Sample Size for Prediction Statistics Program and Explained and Table

SPRT
Sequential Probability Ratio Test (SPRT) by Wald Explained
Sequential Probability Ratio Test (SPRT) for Means Program
Sequential Probability Ratio Test (SPRT) for Proportions Program

Standard Deviation
Combine Means and SDs from multiple groups Into One Group Explanations and Calculations
CUSUM for Normally Distributed Variance Explained and R Code
Data Testing for Normal Distribution Program and Explained
Group Data Plot Program
Normal Distribution Plot Program
Numerical Transformation Program and Explained
Probability Explained
Probability Explained
Sample Size for Estimating Population Standard Deviation Program and Table
Sample Size for Population Parameter Estimation Explained

Standard Error
Group Data Plot Program
Exponentially Weighted Moving Average Program and Explained
Meta-regression Program
Probability Explained
Probability Explained

Standardization
Standardization of Proportions Program

Statistical Significance
Probability of Chi Square Explanations, Calculations, Codes, and Tables
Probability of F Explanation, Calculations, Codes, and Tables
Probability of Standard Deviate z Explains, Calculations, Codes, and Tables
Probability of Student's t Explains, Calculations, Codes, and Tables


Survey
Sample Size for Estimating Population Means Program and Table and Explained
Sample Size for Estimating Population Proportion Program and Table and Explained
Sample Size for Estimating Population Standard Deviation Program and Table
Sample Size for Population Parameter Estimation Explained

Survival
Sample Size for Survival (Kaplan Meier Log Rank Test) Explanation, Program, and Tables
Sequential Unpaired Difference Between Two Survival Rates Program
Survival - Kaplan Meier Log Rank Test Program and Explained

t Test
Differences Between Measurements (Unpaired Groups) Explained and Program
Paired Difference Explained and Program
Probability of Student's t Explains, Calculations, Codes, and Tables


Tabulation
Make Table of Counts from Columned Data Program and Explained

Tail (1 and 2)
Probability of Student's t Explains, Calculations, Codes, and Tables


Time
CUSUM for Inverse Gaussian Distributed Values Explained and R Code

Time Series
Exponentially Weighted Moving Average Program and Explained

Time to Event
CUSUM for Inverse Gaussian Distributed Values Explained and R Code
Numerical Transformation Program and Explained

Tolerance Level
Bioequivalence (Sample Size and Analysis) Program Program
Equivalence Between Two Means (Sample Size and Analysis) Program
Equivalence Between Two Proportions (Sample Size and Analysis) Program
Equivalence Explained and Sample Size Tables Explained and Table

Transformation
Numerical Transformation Program and Explained

Trim and Fill
Meta-analysis for Comparing Two Unpaired Groups Program and Explained

True Positive and Negative
Prediction Statistics Program and Explained
Receiver Operator Characteristics (ROCs) Program and Explained
Sample Size for Prediction Statistics Program and Explained and Table

Tukey
Agreement Evaluation Program and Explained
Differences Between Measurements (Unpaired Groups) Explained and Program

Two Groups
Difference Between Two Proportions (Unpaired) Program
Differences Between Measurements (Unpaired Groups) Explained and Program
Differences Between Proportions (Unpaired) Explained
Equivalence Between Two Means (Sample Size and Analysis) Program
Equivalence Between Two Proportions (Sample Size and Analysis) Program
Binomial Logistic Regression Binomial Logistic Regression Explained and R Code
Sample Size for Comparing Two Counts Program and Explain and Tables
Sample Size for Comparing Two Proportions Program and Explained and Tables
Sample Size for Matched Pair Comparison of Two Proportions Program and Explained and Tables
Sample Size for Matched Pair Comparison of Two Proportions Program and Explained and Tables
Sample Size for Unpaired Difference of Measurements Program and Table
Sample Size for Unpaired Difference of Measurements Program and Table
Sequential Unpaired Analysis Explained
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Means Program
Sequential Unpaired Difference Between Two Ordinal Arrays Program
Sequential Unpaired Difference Between Two Survival Rates Program

Unequal Sample Size
Unequal Sample Size Adjustments Program and Explained

Unpaired Comparison
Chi Square for Large Contingency Tables and Spearman Correlation Coefficient Program
Difference Between Two Proportions (Unpaired) Program
Differences Between Measurements (Unpaired Groups) Explained and Program
Differences Between Proportions (Unpaired) Explained
Differences Between Proportions in Multiple Groups Program
Sample Size for Comparing Two Proportions Program and Explained and Tables

Unpaired Sequential
Sequential Unpaired Analysis Explained
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Means Program
Sequential Unpaired Difference Between Two Ordinal Arrays Program
Sequential Unpaired Difference Between Two Survival Rates Program

Unpaired t Test
Differences Between Measurements (Unpaired Groups) Explained and Program

Varimax
Factor Analysis - Factor Rotation Program
Factor Analysis Explained and Program

W
Concordance Explained
Kendall's W for Ranks Program and Explained

Whitehead
Sequential Unpaired Analysis Explained
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Counts Program
Sequential Unpaired Difference Between Two Means Program
Sequential Unpaired Difference Between Two Ordinal Arrays Program
Sequential Unpaired Difference Between Two Survival Rates Program

Wilcoxon Mann Whitney Test
Differences Between Measurements (Unpaired Groups) Explained and Program

Wilcoxon Paired Signed Rank Test
Paired Difference Explained and Program

Nothing in x

Nothing in Y

z Test
Probability of Standard Deviate z Explains, Calculations, Codes, and Tables

z
Meta-analysis for Comparing Two Unpaired Groups Program and Explained