![]() ![]() Finally, with count data, OpenEpi also performs a test for trend, for both crude data and stratified data. With rate data, OpenEpi provides adjusted rate ratio's and rate differences, and tests for interaction. Similar to Epi Info, in a stratified analysis, both crude and adjusted estimates are provided so that the assessment of confounding can be made. Four different confidence limit methods for the odds ratio.Tests for interaction for the risk ratio, odds ratio, and risk difference.Precision-based adjusted risk difference. ![]() Mantel-Haenszel (MH) and precision-based estimates of the risk ratio and odds ratio.Calculations of rate ratios and rate differences with confidence intervals and statistical tests.įor stratified 2x2 tables with count data, OpenEpi provides:.Mid-p exact p-values and confidence limits for the odds ratio.The cross-product and MLE odds ratio estimate.Etiologic or prevented fraction in the population and in exposed with confidence intervals, based on risk, odds, or rate data.For example, for a single 2x2 table, in addition to the results presented in other programs, OpenEpi provides estimates for: Power calculations for proportions (unmatched case-control, cross-sectional, cohort, randomized controlled trials) and for the comparison of two meansįor epidemiologists and other health researchers, OpenEpi performs a number of calculations based on tables not found in most epidemiologic and statistical packages.Sample size for proportions, cross-sectional surveys, unmatched case-control, cohort, randomized controlled trials, and comparison of two means.Diagnostic and screening test analyses with receiver operating characteristic (ROC) curves.2x2 crude and stratified tables for count and rate data.Various confidence intervals for proportions, rates, standardized mortality ratio, mean, median, percentiles.The types of calculations currently performed by OpenEpi include: The initial development of OpenEpi was supported by a grant from the Bill and Melinda Gates Foundation to Emory University. Both OpenEpi and Epi Info were developed with the goal of providing tools for low and moderate resource areas of the world. ![]() See also list of statistical packages and comparison of statistical packages. Another functionally similar Windows-based program is Winpepi. OpenEpi can be thought of as an important companion to Epi Info and to other programs such as SAS, PSPP, SPSS, Stata, SYSTAT, Minitab, Epidata, and R (see the R programming language). It is the first step toward an entirely web-based set of epidemiologic software tools. OpenEpi was developed to perform analyses found in the DOS version of Epi Info modules StatCalc and EpiTable, to improve upon the types of analyses provided by these modules, and to provide a number of tools and calculations not currently available in Epi Info. The OpenEpi developers have had extensive experience in the development and testing of Epi Info, a program developed by the Centers for Disease Control and Prevention (CDC) and widely used around the world for data entry and analysis. OpenEpi has been reviewed, both by media organizations and in research journals. The source code and documentation is downloadable and freely available for use by other investigators. The program can be run from the OpenEpi website or downloaded and run without a web connection. OpenEpi was developed in JavaScript and HTML, and can be run in modern web browsers. OpenEpi is a free, web-based, open source, operating system-independent series of programs for use in epidemiology, biostatistics, public health, and medicine, providing a number of epidemiologic and statistical tools for summary data. ![]()
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