Routines for Performing Empirical Calibration of Observational Study Estimates


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Documentation for package ‘EmpiricalCalibration’ version 1.4.0

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EmpiricalCalibration-package EmpiricalCalibration
calibrateConfidenceInterval Calibrate confidence intervals
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
computeTraditionalCi Compute the (traditional) confidence interval
computeTraditionalP Compute the (traditional) p-value
EmpiricalCalibration EmpiricalCalibration
evaluateCiCalibration Evaluate confidence interval calibration
fitMcmcNull Fit the null distribution using MCMC
fitNull Fit the null distribution
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 true and observed values
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
southworthReplication Relative risks from an unadjusted new-user cohort design