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

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Documentation for package ‘tteICE’ version 1.0.1

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bmt Data from Section 1.3 of Klein and Moeschberger (1997)
plot.tteICE Graphical results of tteICE
plot_ate Plot the estimated treatment effect
plot_inc Plot the estimated cumulative incidence function (CIF)
print.tteICE Print a short summary of the estimated treatment effect
riskpredict Risk prediction at specific time points
scr.composite Fit the CIF using composite variable strategy for semicompeting risks data
scr.composite.eff Fit the CIF using composite variable strategy for semicompeting risks data, based on efficient influence functions
scr.natural Fit the CIF using hypothetical strategy (I) for semicompeting risks data
scr.natural.eff Fit the CIF using hypothetical strategy (I) for semicompeting risks data, based on efficient influence functions
scr.principal Fit the CIF using principal stratum strategy for semicompeting risks data
scr.principal.eff Fit the CIF using principal stratum strategy for semicompeting risks data, based on efficient influence functions
scr.removed Fit the CIF using hypothetical strategy (II) for semicompeting risks data
scr.removed.eff Fit the CIF using hypothetical strategy (II) for semicompeting risks data, based on efficient influence functions
scr.treatment Fit the CIF using treatment policy strategy for semicompeting risks data
scr.treatment.eff Fit the CIF using treatment policy strategy for semicompeting risks data, based on efficient influence functions
scr.tteICE Fit the CIF for time-to-event data with intercurrent events for semicompeting risks data
scr.whileon Fit the CIF using while on treatment strategy for semicompeting risks data
scr.whileon.eff Fit the CIF using while on treatment strategy for semicompeting risks data, based on efficient influence functions
surv.boot Calculate the standard error for the estimated CIF and treatment effect
surv.composite Fit the CIF using composite variable strategy for competing risks data
surv.composite.eff Fit the CIF using composite variable strategy for competing risks data, based on efficient influence functions
surv.HR Estimate the hazard ratio with intercurrent events
surv.natural Fit the CIF using hypothetical strategy (I) for competing risks data
surv.natural.eff Fit the CIF using hypothetical strategy (I) for competing risks data, based on efficient influence functions
surv.principal Fit the CIF using principal stratum strategy for competing risks data
surv.principal.eff Fit the CIF using principal stratum strategy for competing risks data, based on efficient influence functions
surv.removed Fit the CIF using hypothetical strategy (II) for competing risks data
surv.removed.eff Fit the CIF using hypothetical strategy (II) for competing risks data, based on efficient influence functions
surv.treatment Fit the CIF using treatment policy strategy for competing risks data
surv.treatment.eff Fit the CIF using treatment policy strategy for competing risks data, based on efficient influence functions
surv.tteICE Fit the CIF for time-to-event with intercurrent events for competing risks data
surv.whileon Fit the CIF using while on treatment strategy for competing risks data
surv.whileon.eff Fit the CIF using while on treatment strategy for competing risks data, based on efficient influence functions
tteICEShiny Shiny app for tteICE