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epiR (version 0.9-54)

An R package for the analysis of epidemiological data

Description

An R package 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.

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Version

Install

install.packages('epiR')

Monthly Downloads

16,014

Version

0.9-54

License

GPL (>= 2)

Maintainer

Mark Stevenson

Last Published

January 8th, 2014

Functions in epiR (0.9-54)

Concordance correlation coefficient

Write matrix to an ASCII raster file

Directly adjusted incidence risk estimates

epi.cluster2size

Sample size under under two-stage cluster sampling

Partial rank correlation coefficients

Extract unique covariate patterns from a data set

epi.cluster1size

Sample size under under one-stage cluster sampling

Estimate the precision of a [structured] heterogeneity term

Laryngeal and lung cancer cases in Lancashire 1974 - 1983

epi.descriptives

Descriptive statistics

Estimate true prevalence

Sensitivity, specificity and predictive value of a diagnostic test

epi.interaction

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

Sample size to detect disease

Estimate population size

epi.indirectadj

Indirectly adjusted incidence risk estimates

Lip cancer in Scotland 1975 - 1980

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

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

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

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

Estimate herd test characteristics when pooled sampling is used

Overall concordance correlation coefficient (OCCC)

Convert British National Grid georeferences to easting and northing coordinates

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

Empirical Bayes estimates

Rates of use of epidural anaesthesia in trials of caregiver support

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

Sample size under under stratified random sampling

Estimated dissemination ratio

Lactation to date and standard lactation milk yields

R to WinBUGS data conversion

Decimal degrees and degrees, minutes and seconds conversion

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

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

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

The library epiR: summary information

Covariate pattern residuals from a logistic regression model

Estimate herd test characteristics

Sample size under under simple random sampling

Kappa statistic

Bohning's test for overdispersion of Poisson data

epi.clustersize

Sample size for cluster-sample surveys

Create offset vector