# Routines for Performing Empirical Calibration of Observational Study Estimates

## Documentation for package ‘EmpiricalCalibration’ version 3.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

calibrateConfidenceInterval | Calibrate confidence intervals
calibrateLlr | Calibrate the log likelihood ratio
calibrateP | Calibrate the p-value
calibrateP.mcmcNull | Calibrate the p-value
calibrateP.null | Calibrate the p-value
caseControl | Odds ratios from a case-control design
cohortMethod | Relative risks from a new-user cohort design
compareEase | Compare EASE of correlated sets of estimates
computeCvBinomial | Compute critical values for Binomial data
computeCvPoisson | Compute critical values for Poisson data
computeCvPoissonRegression | Compute critical values for Poisson regression data
computeExpectedAbsoluteSystematicError | Compute the expected absolute systematic error
computeTraditionalCi | Compute the (traditional) confidence interval
computeTraditionalP | Compute the (traditional) p-value
convertNullToErrorModel | Convert empirical null distribution to systematic error model
evaluateCiCalibration | Evaluate confidence interval calibration
fitMcmcNull | Fit the null distribution using MCMC
fitNull | Fit the null distribution
fitNullNonNormalLl | Fit the null distribution using non-normal log-likelihood approximations
fitSystematicErrorModel | Fit a systematic error model
grahamReplication | Relative risks from an adjusted new-user cohort design
plotCalibration | Create a calibration plot
plotCalibrationEffect | Plot the effect of the calibration
plotCiCalibration | Create a confidence interval calibration plot
plotCiCalibrationEffect | Plot the effect of the CI calibration
plotCiCoverage | Create a confidence interval coverage plot
plotErrorModel | Plot the systematic error model
plotExpectedType1Error | Plot the expected type 1 error as a function of standard error
plotForest | Create a forest plot
plotMcmcTrace | Plot the MCMC trace
plotTrueAndObserved | Plot true and observed values
sccs | Incidence rate ratios from Self-Controlled Case Series
simulateControls | Simulate (negative) controls
simulateMaxSprtData | Simulate survival data for MaxSPRT computation
southworthReplication | Relative risks from an unadjusted new-user cohort design