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WINPEPI
WINPEPI is a suite of freeware programs for personal computers (PCs) that is designed to meet a range of statistical requirements for epidemiologists and biomedical researchers. This entry describes the features, uses, advantages, and disadvantages of WINPEPI.
Background
WINPEPI is an acronym for programs for epidemiologists. An original DOS-based version was adapted for use with Microsoft Windows in the early 2000s (WINPEPI or Pepi-for-Windows). The latest update (version 11.65) was released in 2016. The main author of WINPEPI, Joe Abramson, died in 2017, and there have been no subsequent updates since his death. Nevertheless, the programs remain compatible with Windows 10 and is available from the following website: http://www.brixtonhealth.com/pepi4windows.html. Manuals for each of the individual programs can also be downloaded from the same source. There are also ...
- Bayesian Statistics
- Descriptive Statistics
- Central Tendency, Measures of
- Cohen’s d Statistic
- Cohen’s f Statistic
- Correspondence Analysis
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- “Structural Holes: The Social Structure of Competition”
- “Technique for the Measurement of Attitudes, A”
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- Aptitudes and Instructional Methods
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- Logic of Scientific Discovery, The
- Nonparametric Statistics for the Behavioral Sciences
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- Least Squares, Methods of
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- Mann–Whitney U Test
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- Maximum Likelihood Estimation
- McNemar’s Test
- Mean Comparisons
- Missing Data, Imputation of
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- Multiple Comparison Tests
- Multiple Comparisons With Modeling Techniques
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- Newman–Keuls Test
- Omnibus Tests
- Pairwise Comparisons
- Path Analysis
- Post Hoc Analysis
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- Predictive Discriminant Analysis
- Principal Components Analysis
- Propensity Score Analysis
- Scheffé Test
- Sequential Analysis
- Sign Test
- Stepwise Model Selection
- Stepwise Regression
- Structural Equation Modeling
- Survival Analysis
- Trend Analysis
- Tukey’s Honestly Significant Difference
- Welch’s t Test
- Wilcoxon Rank Sum Test
- Yates’s Correction
- Statistical Tests
- F Test
- t Test, Independent Samples
- t Test, One Sample
- t Test, Paired Samples
- z Test
- Bartlett’s Test
- Behrens–Fisher t’ Statistic
- Chi-Square Test
- Cochran–Armitage Test for Trend
- Duncan’s Multiple Range Test
- Dunnett’s Test
- Fisher’s Least Significant Difference Test
- Friedman Test
- Hosmer-Lemeshow Test
- Kolmogorov–Smirnov Test
- Kruskal–Wallis Test
- Mann–Whitney U Test
- Mauchly Test
- McNemar’s Test
- Multiple Comparison Tests
- Newman–Keuls Test
- Omnibus Tests
- Scheffé Test
- Sign Test
- Tukey’s Honestly Significant Difference
- Welch’s t Test
- Wilcoxon Rank Sum Test
- Structural Equation Modeling
- Theories, Laws, and Principles
- Central Limit Theorem
- Classical Test Theory
- Correspondence Principle
- Critical Theory
- Diffusion of Innovation Theory
- Falsifiability
- Game Theory
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- Generalizability Theory
- Graph Theory
- Grounded Theory
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- Paradigm
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- Structural Paradigm
- Theory
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- Weber–Fechner Law
- Types of Variables
- Validity of Scores
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