epi.2by2 |
Summary measures for count data presented in a 2 by 2 table |
epi.about |
The library epiR: summary information |
epi.asc |
Write matrix to an ASCII raster file |
epi.betabuster |
An R version of Wes Johnson and Chun-Lung Su's Betabuster |
epi.blcm.paras |
Number of parameters to be inferred and number of informative priors required for a Bayesian latent class model |
epi.bohning |
Bohning's test for overdispersion of Poisson data |
epi.ccc |
Concordance correlation coefficient |
epi.conf |
Confidence intervals for means, proportions, incidence, and standardised mortality ratios |
epi.convgrid |
Convert British National Grid georeferences to easting and northing coordinates |
epi.cp |
Extract unique covariate patterns from a data set |
epi.cpresids |
Covariate pattern residuals from a logistic regression model |
epi.descriptives |
Descriptive statistics |
epi.dgamma |
Estimate the precision of a [structured] heterogeneity term |
epi.directadj |
Directly adjusted incidence rate estimates |
epi.dms |
Decimal degrees and degrees, minutes and seconds conversion |
epi.dsl |
Mixed-effects meta-analysis of binary outcomes using the DerSimonian and Laird method |
epi.edr |
Estimated dissemination ratio |
epi.empbayes |
Empirical Bayes estimates of observed event counts |
epi.epidural |
Rates of use of epidural anaesthesia in trials of caregiver support |
epi.herdtest |
Estimate the characteristics of diagnostic tests applied at the herd (group) level |
epi.incin |
Laryngeal and lung cancer cases in Lancashire 1974 - 1983 |
epi.indirectadj |
Indirectly adjusted incidence risk estimates |
epi.insthaz |
Event instantaneous hazard based on Kaplan-Meier survival estimates |
epi.interaction |
Relative excess risk due to interaction in a case-control study |
epi.iv |
Fixed-effects meta-analysis of binary outcomes using the inverse variance method |
epi.kappa |
Kappa statistic |
epi.ltd |
Lactation to date and standard lactation milk yields |
epi.mh |
Fixed-effects meta-analysis of binary outcomes using the Mantel-Haenszel method |
epi.nomogram |
Post-test probability of disease given sensitivity and specificity of a test |
epi.occc |
Overall concordance correlation coefficient (OCCC) |
epi.offset |
Create offset vector |
epi.pooled |
Estimate herd test characteristics when pooled sampling is used |
epi.popsize |
Estimate population size on the basis of capture-recapture sampling |
epi.prcc |
Partial rank correlation coefficients |
epi.prev |
Estimate true prevalence and the expected number of false positives |
epi.psi |
Proportional similarity index |
epi.realrisk |
An R version of the Winton Centre's RealRisk calculator |
epi.RtoBUGS |
R to WinBUGS data conversion |
epi.SClip |
Lip cancer in Scotland 1975 - 1980 |
epi.smd |
Fixed-effects meta-analysis of continuous outcomes using the standardised mean difference method |
epi.smr |
Confidence intervals and tests of significance of the standardised mortality [morbidity] ratio |
epi.sscc |
Sample size, power or minimum detectable odds ratio for an unmatched or matched case-control study |
epi.ssclus1estb |
Sample size to estimate a binary outcome using one-stage cluster sampling |
epi.ssclus1estc |
Sample size to estimate a continuous outcome using one-stage cluster sampling |
epi.ssclus2estb |
Number of clusters to be sampled to estimate a binary outcome using two-stage cluster sampling |
epi.ssclus2estc |
Number of clusters to be sampled to estimate a continuous outcome using two-stage cluster sampling |
epi.sscohortc |
Sample size, power or minimum detectable incidence risk ratio for a cohort study using individual count data |
epi.sscohortt |
Sample size, power or minimum detectable incidence rate ratio for a cohort study using person or animal time data |
epi.sscompb |
Sample size and power when comparing binary outcomes |
epi.sscompc |
Sample size and power when comparing continuous outcomes |
epi.sscomps |
Sample size and power when comparing time to event |
epi.ssdetect |
Sample size to detect an event |
epi.ssdxsesp |
Sample size to estimate the sensitivity or specificity of a diagnostic test |
epi.ssdxtest |
Sample size to validate a diagnostic test in the absence of a gold standard |
epi.ssequb |
Sample size for a parallel equivalence or equality trial, binary outcome |
epi.ssequc |
Sample size for a parallel equivalence or equality trial, continuous outcome |
epi.ssninfb |
Sample size for a non-inferiority trial, binary outcome |
epi.ssninfc |
Sample size for a non-inferiority trial, continuous outcome |
epi.sssimpleestb |
Sample size to estimate a binary outcome using simple random sampling |
epi.sssimpleestc |
Sample size to estimate a continuous outcome using simple random sampling |
epi.ssstrataestb |
Sample size to estimate a binary outcome using stratified random sampling |
epi.ssstrataestc |
Sample size to estimate a continuous outcome using a stratified random sampling design |
epi.sssupb |
Sample size for a parallel superiority trial, binary outcome |
epi.sssupc |
Sample size for a parallel superiority trial, continuous outcome |
epi.ssxsectn |
Sample size, power or minimum detectable prevalence ratio or odds ratio for a cross-sectional study |
epi.tests |
Sensitivity, specificity and predictive value of a diagnostic test |