 | Content Disclaimer Copyright @2020. All Rights Reserved. |
Links : Home Index (Subjects) Contact StatsToDo |
| A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z 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 Program and Explained 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 Program and Explained 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 Bos 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 Program and Explained 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 Program 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) Program and Explained 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 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 Paired Difference 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) Program and Explained 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 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 RC4 Encryption Original and Modified Program & Explanation 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 Program and Explained 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) Program and Explained and Table Forest Plot Forest Plot Program MacroPlot Help and Program and Explained Freeman-Tykey Transformation Numerical Transformation Program and Explained Friedman's Two Way Analysis of Variance Friedman's Two Way Analysis of Variance Program and Explained 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) Program and Explained 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) Program and Explained and Table 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 Into One Group Program 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 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 Program and Explained and Tables Probability of Standard Deviate z Program and Explained and Tables Probability of Student's t Program and Explained 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 Paired Difference 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 Sample Size for Matched Pair Comparison of Two Proportions Program and Explained and Tables Paired Difference 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 Paired Difference Program Paired McNemar Test for Paired Changes in Proportions Program and Explained Paired Difference Explained Paired Difference 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 Paired Difference Program Phase II Phase II Study Explained Sample Size for Phase II Study (Fleming's Procedure) Program and Explained and Table Sample Size for Phase II Study (Gehan's Procedure) Program and Explained and Tables Sample Size for Phase II Study (Simon's Procedure) Program and Explained 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 Program and Explained and Tables Probability of F Program and Explained and Tables Probability of Standard Deviate z Program and Explained and Tables Probability of Student's t Program and Explained 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 Number Generation Program and Explained 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 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 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 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) Program and Explained and Table Sample Size for Phase II Study (Gehan's Procedure) Program and Explained and Tables Sample Size for Phase II Study (Simon's Procedure) Program and Explained 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) Program and Explained and Table 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) Program and Explained 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 Into One Group Program 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 Program and Explained and Tables Probability of F Program and Explained and Tables Probability of Standard Deviate z Program and Explained and Tables Probability of Student's t Program and Explained 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) Program and Explained and Table 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 Program Probability of Student's t Program and Explained and Tables Tabulation Make Table of Counts from Columned Data Program and Explained Tail (1 and 2) Probability of Student's t Program and Explained 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 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 Paired Difference Program
Nothing in x
Nothing in Y
|