Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events

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Documentation for package ‘tteICE’ version 1.1.1

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tteICE-package tteICE: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
bmt Data from Section 1.3 of Klein and Moeschberger (1997)
plot.tteICE Plot method for 'tteICE' objects
plot_ate Plot estimated treatment effects
plot_inc Plot estimated cumulative incidence functions (CIFs)
predict.tteICE Predict method for 'tteICE' objects at specific time points
print.tteICE Print method for 'tteICE' objects
scr.composite Fit CIFs using composite variable strategy for semicompeting risks data
scr.composite.eff Fit CIFs using composite variable strategy for semicompeting risks data, based on efficient influence functions
scr.natural Fit CIFs using hypothetical strategy (I) for semicompeting risks data
scr.natural.eff Fit CIFs using hypothetical strategy (I) for semicompeting risks data, based on efficient influence functions
scr.principal Fit CIFs using principal stratum strategy for semicompeting risks data
scr.principal.eff Fit CIFs using principal stratum strategy for semicompeting risks data, based on efficient influence functions
scr.removed Fit CIFs using hypothetical strategy (II) for semicompeting risks data
scr.removed.eff Fit CIFs using hypothetical strategy (II) for semicompeting risks data, based on efficient influence functions
scr.treatment Fit CIFs using treatment policy strategy for semicompeting risks data
scr.treatment.eff Fit CIFs using treatment policy strategy for semicompeting risks data, based on efficient influence functions
scr.tteICE Fit CIFs for semicompeting risks time-to-event data with intercurrent events.
scr.whileon Fit CIFs using while on treatment strategy for semicompeting risks data
scr.whileon.eff Fit CIFs using while on treatment strategy for semicompeting risks data, based on efficient influence functions
summary.tteICE Summary method for 'tteICE' objects
surv.boot Calculate standard errors for estimated CIFs and treatment effects
surv.composite Fit CIFs using composite variable strategy for competing risks data
surv.composite.eff Fit CIFs using composite variable strategy for competing risks data, based on efficient influence functions
surv.HR Estimate hazard ratios
surv.natural Fit CIFs using hypothetical strategy (I) for competing risks data
surv.natural.eff Fit CIFs using hypothetical strategy (I) for competing risks data, based on efficient influence functions
surv.principal Fit CIFs using principal stratum strategy for competing risks data
surv.principal.eff Fit CIFs using principal stratum strategy for competing risks data, based on efficient influence functions
surv.removed Fit CIFs using hypothetical strategy (II) for competing risks data
surv.removed.eff Fit CIFs using hypothetical strategy (II) for competing risks data, based on efficient influence functions
surv.treatment Fit CIFs using treatment policy strategy for competing risks data
surv.treatment.eff Fit CIFs using treatment policy strategy for competing risks data, based on efficient influence functions
surv.tteICE Fit CIFs for competing risks time-to-event data with intercurrent events.
surv.whileon Fit CIFs using while on treatment strategy for competing risks data
surv.whileon.eff Fit CIFs using while on treatment strategy for competing risks data, based on efficient influence functions
tteICE Using formula to fit CIFs for time-to-event data with intercurrent events
tteICEShiny Shiny app for tteICE