Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression


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Documentation for package ‘casebase’ version 0.10.5

Help Pages

absoluteRisk Compute absolute risks using the fitted hazard function.
absoluteRisk.CompRisk Compute absolute risks using the fitted hazard function.
bmtcrr Data on transplant patients
brcancer German Breast Cancer Study Group 2
checkArgsEventIndicator Check that Event is in Correct Format
checkArgsTimeEvent Population Time Plot
CompRisk An S4 class to store the output of fitSmoothHazard
CompRisk-class An S4 class to store the output of fitSmoothHazard
confint.absRiskCB Compute confidence intervals for risks
eprchd Estrogen plus Progestin and the Risk of Coronary Heart Disease (eprchd)
ERSPC Data on the men in the European Randomized Study of Prostate Cancer Screening
fitSmoothHazard Fit smooth-in-time parametric hazard functions.
fitSmoothHazard.fit Fit smooth-in-time parametric hazard functions.
hazardPlot Plot Fitted Hazard Curve as a Function of Time
incrVar Plot Hazards and Hazard Ratios
plot.absRiskCB Compute absolute risks using the fitted hazard function.
plot.popTime Population Time Plot
plot.singleEventCB Plot Hazards and Hazard Ratios
plotHazardRatio Plot Hazards and Hazard Ratios
popTime Population Time Plot
prepareX Fit smooth-in-time parametric hazard functions.
print.absRiskCB Compute absolute risks using the fitted hazard function.
sampleCaseBase Create case-base dataset for use in fitting parametric hazard functions
simdat Simulated data under Weibull model with Time-Dependent Treatment Effect
summary An S4 class to store the output of fitSmoothHazard
summary-method An S4 class to store the output of fitSmoothHazard
support Study to Understand Prognoses Preferences Outcomes and Risks of Treatment (SUPPORT)