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epiR (version 0.9-82)

Tools for the Analysis of Epidemiological Data

Description

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.

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Version

Install

install.packages('epiR')

Monthly Downloads

14,522

Version

0.9-82

License

GPL (>= 2)

Maintainer

Mark Stevenson

Last Published

April 7th, 2017

Functions in epiR (0.9-82)

Lactation to date and standard lactation milk yields

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

Sample size under simple random sampling

The library epiR: summary information

Directly adjusted incidence rate estimates

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

Decimal degrees and degrees, minutes and seconds conversion

Sample size under under stratified random sampling

epi.indirectadj

Indirectly adjusted incidence risk estimates

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

Estimate the sample size for a parallel superiority trial, binary outcomes

epi.interaction

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

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

Estimate the sample size for a parallel equivalence trial, continuous outcomes

R to WinBUGS data conversion

Lip cancer in Scotland 1975 - 1980

Sensitivity, specificity and predictive value of a diagnostic test

Bohning's test for overdispersion of Poisson data

An R version of Wes Johnson and Chun-Lung Su's Betabuster

Estimate herd test characteristics

Laryngeal and lung cancer cases in Lancashire 1974 - 1983

Sample size, power and minimum detectable difference when comparing means

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

Sample size or power for an unmatched or matched case-control study

epi.cluster1size

Sample size under under one-stage cluster sampling

Concordance correlation coefficient

Covariate pattern residuals from a logistic regression model

epi.descriptives

Descriptive statistics

Empirical Bayes estimates

Rates of use of epidural anaesthesia in trials of caregiver support

Convert British National Grid georeferences to easting and northing coordinates

Extract unique covariate patterns from a data set

Estimate the sample size for a parallel equivalence trial, continuous outcomes

Overall concordance correlation coefficient (OCCC)

Estimate population size

Partial rank correlation coefficients

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

Estimate the sample size for a parallel non-inferiority trial, binary outcomes

Estimate true prevalence

Sample size, power and minimum detectable difference when comparing proportions

Sample size to detect disease

Estimate the precision of a [structured] heterogeneity term

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

Estimated dissemination ratio

Kappa statistic

Create offset vector

Estimate herd test characteristics when pooled sampling is used

Estimate the sample size for a parallel superiority trial, continuous outcomes

epi.survivalsize

Sample size, power and minimum detectable hazard for time to event studies

epi.cluster2size

Sample size under under two-stage cluster sampling

epi.clustersize

Sample size for cluster-sample surveys

Sample size, power or minimum detectable effect for a cohort study

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

Estimate the sample size for a parallel equivalence trial, binary outcomes

Write matrix to an ASCII raster file