Tools for the Analysis of Epidemiological Data

Tools for the analysis of epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.


    CHANGES IN epiR VERSION 0.9-98


o epi.prev
Function does not truncate true prevalence estimates to values between 0 and 1. Warning issued when apparent prevalence is less than (1 - specificity). Additional references added to docuementation. 

    CHANGES IN epiR VERSION 0.9-97


o epi.prev
Error in formatting of confidence intervals when method = "sterne" and method = "blaker". 
[Spotted by Salome Duerr]

o epi.noninfb
Study power estimation when r argument for epi.noninfb was not equal 
to 1 returned incorrect results. 
[Spotted by Aline Guttmann]

o epi.interaction
Error returned when model = coxph. 
[Spotted by Eirik Degerud]

o epi.directadj
Inconsistency in documentation.
[Spotted by Jose Conde]

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0-4 by Mark Stevenson, 3 months ago

Browse source code at

Authors: Mark Stevenson <[email protected]> with contributions from Telmo Nunes , Cord Heuer , Jonathon Marshall , Javier Sanchez , Ron Thornton , Jeno Reiczigel , Jim Robison-Cox , Paola Sebastiani , Peter Solymos , Kazuki Yoshida , Geoff Jones , Sarah Pirikahu , Simon Firestone , Ryan Kyle , Johann Popp , Mathew Jay and Charles Reynard.

Documentation:   PDF Manual  

Task views: Meta-Analysis, Survival Analysis

GPL (>= 2) license

Imports BiasedUrn, methods

Depends on survival

Suggests MASS

Imported by SafeQuant, nanostringr, pubh, spectacles.

Depended on by EpiStats, RcmdrPlugin.EBM.

Suggested by FRESA.CAD.

See at CRAN