CRAN/E | EpiStats

EpiStats

Tools for Epidemiologists

Installation

About

Provides set of functions aimed at epidemiologists. The package includes commands for measures of association and impact for case control studies and cohort studies. It may be particularly useful for outbreak investigations including univariable analysis and stratified analysis. The functions for cohort studies include the CS(), CSTable() and CSInter() commands. The functions for case control studies include the CC(), CCTable() and CCInter() commands. References - Cornfield, J. 1956. A statistical problem arising from retrospective studies. In Vol. 4 of Proceedings of the Third Berkeley Symposium, ed. J. Neyman, 135-148. Berkeley, CA - University of California Press. Woolf, B. 1955. On estimating the relation between blood group disease. Annals of Human Genetics 19 251-253. Reprinted in Evolution of Epidemiologic Ideas Annotated Readings on Concepts and Methods, ed. S. Greenland, pp. 108-110. Newton Lower Falls, MA Epidemiology Resources. Gilles Desve & Peter Makary, 2007. 'CSTABLE Stata module to calculate summary table for cohort study' Statistical Software Components S456879, Boston College Department of Economics. Gilles Desve & Peter Makary, 2007. 'CCTABLE Stata module to calculate summary table for case-control study' Statistical Software Components S456878, Boston College Department of Economics.

Key Metrics

Version 1.6-2
Published 2023-10-25 186 days ago
Needs compilation? no
License LGPL-3
CRAN checks EpiStats results

Downloads

Yesterday 6 -45%
Last 7 days 80 -30%
Last 30 days 361 -3%
Last 90 days 1.124 -4%
Last 365 days 3.239 -32%

Maintainer

Maintainer

Lore Merdrignac

l.merdrignac@epiconcept.fr

Authors

Jean Pierre Decorps

aut

Esther Kissling

ctb

Lore Merdrignac

cre

Material

Reference manual
Package source

Vignettes

Using EpiStats

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EpiStats archive

Depends

epiR
dplyr

Suggests

knitr
rmarkdown