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 |

epi.psi | Proportional similarity index |

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, power and minimum detectable risk ratio when comparing binary outcomes |

epi.sscompc | Sample size, power and minimum detectable difference when comparing continuous outcomes |

epi.sscomps | Sample size, power and minimum detectable hazard 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 trial, binary outcome |

epi.ssequc | Sample size for a parallel equivalence 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 |

print.epi.2by2 | Summary measures for count data presented in a 2 by 2 table |

print.epi.occc | Overall concordance correlation coefficient (OCCC) |

print.epi.tests | Sensitivity, specificity and predictive value of a diagnostic test |

rsu.adjrisk | Adjusted risk values |

rsu.dxtest | Sensitivity and specificity of diagnostic tests interpreted in series or parallel |

rsu.epinf | Effective probability of disease |

rsu.pfree.equ | Equilibrium probability of disease freedom assuming representative or risk based sampling |

rsu.pfree.rs | Calculate the probability of freedom for given population sensitivity and probability of introduction |

rsu.pstar | Design prevalence back calculation |

rsu.sep | Probability that the prevalence of disease in a population is less than or equal to a specified design prevalence |

rsu.sep.cens | Surveillance system sensitivity assuming data from a population census |

rsu.sep.pass | Surveillance system sensitivity assuming passive surveillance and representative sampling within clusters |

rsu.sep.rb | Surveillance system sensitivity assuming risk-based sampling and varying unit sensitivity |

rsu.sep.rb1rf | Surveillance system sensitivity assuming risk-based sampling on one risk factor |

rsu.sep.rb2rf | Surveillance system sensitivity assuming risk-based sampling on two risk factors |

rsu.sep.rb2st | Surveillance system sensitivity assuming risk based, two-stage sampling |

rsu.sep.rbvarse | Surveillance system sensitivity assuming risk based sampling and varying unit sensitivity |

rsu.sep.rs | Surveillance system sensitivity assuming representative sampling |

rsu.sep.rs2st | Surveillance system sensitivity assuming representative two-stage sampling |

rsu.sep.rsfreecalc | Surveillance system sensitivity for detection of disease assuming representative sampling and imperfect test sensitivity and specificity. |

rsu.sep.rsmult | Surveillance system sensitivity by combining multiple surveillance components |

rsu.sep.rspool | Surveillance system sensitivity assuming representative sampling, imperfect pooled sensitivity and perfect pooled specificity |

rsu.sep.rsvarse | Surveillance system sensitivity assuming representative sampling and varying unit sensitivity |

rsu.spp.rs | Surveillance system specificity assuming representative sampling |

rsu.sspfree.rs | Sample size to achieve a desired probability of disease freedom assuming representative sampling |

rsu.sssep.rb2st1rf | Sample size to achieve a desired surveillance system sensitivity assuming risk-based 2-stage sampling on one risk factor at the cluster level |

rsu.sssep.rb2st2rf | Sample size to achieve a desired surveillance system sensitivity assuming risk-based 2-stage sampling on two risk factors at either the cluster level, unit level, or both |

rsu.sssep.rbmrg | Sample size to achieve a desired surveillance system sensitivity assuming risk-based sampling and multiple sensitivity values within risk groups |

rsu.sssep.rbsrg | Sample size to achieve a desired surveillance system sensitivity assuming risk-based sampling and a single sensitivity value for each risk group |

rsu.sssep.rs | Sample size to achieve a desired surveillance system sensitivity assuming representative sampling |

rsu.sssep.rs2st | Sample size to achieve a desired surveillance system sensitivity assuming two-stage sampling |

rsu.sssep.rsfreecalc | Sample size to achieve a desired surveillance system sensitivity to detect disease at a specified design prevalence assuming representative sampling, imperfect unit sensitivity and specificity |

rsu.sssep.rspool | Sample size to achieve a desired surveillance system sensitivity using pooled samples assuming representative sampling |

summary.epi.2by2 | Summary measures for count data presented in a 2 by 2 table |

summary.epi.occc | Overall concordance correlation coefficient (OCCC) |

summary.epi.tests | Sensitivity, specificity and predictive value of a diagnostic test |