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. 2004 Dec 17;1(1):6.
doi: 10.1186/1742-5573-1-6.

WINPEPI (PEPI-for-Windows): computer programs for epidemiologists

Joseph H Abramson  1
Affiliations

WINPEPI (PEPI-for-Windows): computer programs for epidemiologists

Joseph H Abramson. Epidemiol Perspect Innov. .

Abstract

BACKGROUND: The WINPEPI (PEPI-for-Windows) computer programs for epidemiologists are designed for use in practice and research in the health field and as learning or teaching aids. They aim to complement other statistics packages. The programs are free, and can be downloaded from the Internet. IMPLEMENTATION: There are at present four WINPEPI programs: DESCRIBE, for use in descriptive epidemiology, COMPARE2, for use in comparisons of two independent groups or samples, PAIRSetc, for use in comparisons of paired and other matched observations, and WHATIS, a "ready reckoner" utility program. The programs contain 75 modules, each of which provides a number, sometimes a large number, of statistical procedures. The manuals explain the uses, limitations and applicability of specific procedures, and furnish formulae and references. CONCLUSIONS: WINPEPI provides a wide variety of statistical routines commonly used by epidemiologists, and is a handy resource for many procedures that are not very commonly used or easily found. The programs are in general user-friendly, although some users may be confused by the large numbers of options and results provided. The main limitations are the inability to read data files and the fact that only one of the programs presents graphic results. WINPEPI has a considerable potential as a learning and teaching aid.

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Figures

Figure 1
Figure 1
PEPI FINDER: Excerpt.
Figure 2
Figure 2
COMPARE2: Opening screen.
Figure 3
Figure 3
COMPARE2: Data-entry screen (for 2 × k table).
Figure 4
Figure 4
COMPARE2: Results screen (for 2 × k table).
Figure 5
Figure 5
Number of clusters required for a cluster-based prevalence study.
Figure 6
Figure 6
A series of numerical observations. The straight lines are simple linear and nonparametric regression lines; the curved lines represent smoothing by two different methods; the red triangle marks the first point at which there is a significant change.
Figure 7
Figure 7
Post-test probabilities and net gain for a diagnostic test. Positive likelihood ratio = 10. The net gain is the absolute difference between pretest and post-test probabilities.
Figure 8
Figure 8
Comparison of ROC curves.
See this image and copyright information in PMC

References

    1. Abramson JH, Peritz E. Calculator Programs for the Health Sciences. New York: Oxford University Press; 1983.
    1. Gahlinger PM, Abramson JH. Computer Programs for Epidemiologic Analysis. Honolulu, Hawaii: Makapuu Medical Press; 1993.
    1. Gahlinger PM, Abramson JH. Computer Programs for Epidemiologic Analysis: PEPI Version 2. Stone Mountain, Georgia: USD Inc; 1995.
    1. Abramson JH, Gahlinger PM. Computer Programs for Epidemiologists: PEPI Version 3.00. Llanidloes, Wales: Brixton Books; 1999.
    1. Abramson JH, Gahlinger PM. Computer Programs for Epidemiologists: PEPI V.4.0. Salt Lake City, Utah: Sagebrush Press; 2001.