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epiR (version 0.9-35)

Functions for analysing epidemiological data

Description

A package for analysing 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.

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Version

Install

install.packages('epiR')

Monthly Downloads

16,014

Version

0.9-35

License

GPL (>= 2)

Maintainer

Mark Stevenson

Last Published

January 11th, 2012

Functions in epiR (0.9-35)

R to WinBUGS data conversion

Bohning's test for overdispersion of Poisson data

epi.indirectadj

Indirectly adjusted rates

Concordance correlation coefficient

Covariate pattern residuals from a logistic regression model

Create offset vector

Fixed-effects meta-analysis of binary outcomes using the Mantel-Haenszel method

Directly adjusted measures of disease frequency

Sample size to detect disease

Mixed-effects meta-analysis of binary outcomes using the DerSimonian and Laird method

epi.clustersize

Sample size for cluster-sample surveys

Extract unique covariate patterns from a data set

Instantaneous hazard computed on the basis of a Kaplan-Meier survival function

Confidence intervals for means, proportions, incidence, and standardised mortality ratios

epi.cluster2size

Sample size under under two-stage cluster sampling

Summary measures for count data presented in a 2 by 2 table

Convert British National Grid georeferences to easting and northing coordinates

epi.cluster1size

Sample size under under one-stage cluster sampling

Post-test probability of disease given sensitivity and specificity of a test

Estimate the sample size to compare means, proportions, and survival

Decimal degrees and degrees, minutes and seconds conversion

Estimate population size

Estimate herd test characteristics when pooled sampling is used

Lip cancer in Scotland 1975 - 1980

Estimate the precision of a [structured] heterogeneity term

Fixed-effect meta-analysis of binary outcomes using the inverse variance method

Estimate herd test characteristics

Kappa statistic

Empirical Bayes estimates

Write matrix to an ASCII raster file

Fixed-effect meta-analysis of continuous outcomes using the standardised mean difference method

Rates of use of epidural anaesthesia in trials of caregiver support

epi.descriptives

Descriptive statistics

Estimate true prevalence

Partial rank correlation coefficients

Sample size under under simple random sampling

epi.interaction

Relative excess risk due to interaction in a case-control study

The library epiR: summary information

Laryngeal and lung cancer cases in Lancashire 1974 - 1983

Sample size under under stratified random sampling

Estimated dissemination ratio

Sensitivity, specificity and predictive value of a diagnostic test

Lactation to date and standard lactation milk yields