Tools for the Analysis of Epidemiological Data
Summary measures for count data presented in a 2 by 2 table
The library epiR: summary information
Write matrix to an ASCII raster file
An R version of Wes Johnson and Chun-Lung Su's Betabuster
Number of parameters to be inferred and number of informative priors r...
Bohning's test for overdispersion of Poisson data
Concordance correlation coefficient
Confidence intervals for means, proportions, incidence, and standardis...
Convert British National Grid georeferences to easting and northing co...
Extract unique covariate patterns from a data set
Covariate pattern residuals from a logistic regression model
Descriptive statistics
Estimate the precision of a [structured] heterogeneity term
Directly adjusted incidence rate estimates
Decimal degrees and degrees, minutes and seconds conversion
Mixed-effects meta-analysis of binary outcomes using the DerSimonian a...
Estimated dissemination ratio
Empirical Bayes estimates of observed event counts
Estimate the characteristics of diagnostic tests applied at the herd (...
Indirectly adjusted incidence risk estimates
Event instantaneous hazard based on Kaplan-Meier survival estimates
Relative excess risk due to interaction in a case-control study
Fixed-effects meta-analysis of binary outcomes using the inverse varia...
Kappa statistic
Lactation to date and standard lactation milk yields
Fixed-effects meta-analysis of binary outcomes using the Mantel-Haensz...
Post-test probability of disease given sensitivity and specificity of ...
Overall concordance correlation coefficient (OCCC)
Create offset vector
Estimate herd test characteristics when pooled sampling is used
Estimate population size on the basis of capture-recapture sampling
Partial rank correlation coefficients
Estimate true prevalence and the expected number of false positives
Proportional similarity index
An R version of the Winton Centre's RealRisk calculator
R to WinBUGS data conversion
Fixed-effects meta-analysis of continuous outcomes using the standardi...
Confidence intervals and tests of significance of the standardised mor...
Sample size, power or minimum detectable odds ratio for an unmatched o...
Sample size to estimate a binary outcome using one-stage cluster sampl...
Sample size to estimate a continuous outcome using one-stage cluster s...
Number of clusters to be sampled to estimate a binary outcome using tw...
Number of clusters to be sampled to estimate a continuous outcome usin...
Sample size, power or minimum detectable incidence risk ratio for a co...
Sample size, power or minimum detectable incidence rate ratio for a co...
Sample size and power when comparing binary outcomes
Sample size and power when comparing continuous outcomes
Sample size and power when comparing time to event
Sample size to detect an event
Sample size to estimate the sensitivity or specificity of a diagnostic...
Sample size to validate a diagnostic test in the absence of a gold sta...
Sample size for a parallel equivalence or equality trial, binary outco...
Sample size for a parallel equivalence or equality trial, continuous o...
Sample size for a non-inferiority trial, binary outcome
Sample size for a non-inferiority trial, continuous outcome
Sample size to estimate a binary outcome using simple random sampling
Sample size to estimate a continuous outcome using simple random sampl...
Sample size to estimate a binary outcome using stratified random sampl...
Sample size to estimate a continuous outcome using a stratified random...
Sample size for a parallel superiority trial, binary outcome
Sample size for a parallel superiority trial, continuous outcome
Sample size, power or minimum detectable prevalence ratio or odds rati...
Sensitivity, specificity and predictive value of a diagnostic test
Adjusted risk values
Sensitivity and specificity of diagnostic tests interpreted in series ...
Effective probability of disease
Equilibrium probability of disease freedom assuming representative or ...
Calculate the probability of freedom for given population sensitivity ...
Design prevalence back calculation
Surveillance system sensitivity assuming data from a population census
Surveillance system sensitivity assuming passive surveillance and repr...
Surveillance system sensitivity assuming risk-based sampling and varyi...
Surveillance system sensitivity assuming risk-based sampling on one ri...
Surveillance system sensitivity assuming risk-based sampling on two ri...
Surveillance system sensitivity assuming risk based, two-stage samplin...
Surveillance system sensitivity assuming risk based sampling and varyi...
Probability that the prevalence of disease in a population is less tha...
Surveillance system sensitivity assuming representative sampling
Surveillance system sensitivity assuming representative two-stage samp...
Surveillance system sensitivity for detection of disease assuming repr...
Surveillance system sensitivity by combining multiple surveillance com...
Surveillance system sensitivity assuming representative sampling, impe...
Surveillance system sensitivity assuming representative sampling and v...
Surveillance system specificity assuming representative sampling
Sample size to achieve a desired probability of disease freedom assumi...
Sample size to achieve a desired surveillance system sensitivity assum...
Sample size to achieve a desired surveillance system sensitivity assum...
Sample size to achieve a desired surveillance system sensitivity assum...
Sample size to achieve a desired surveillance system sensitivity assum...
Sample size to achieve a desired surveillance system sensitivity assum...
Sample size to achieve a desired surveillance system sensitivity assum...
Sample size to achieve a desired surveillance system sensitivity to de...
Sample size to achieve a desired surveillance system sensitivity using...
Tools for the analysis of epidemiological and surveillance 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, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.