Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
Plot estimated treatment effects
Plot estimated cumulative incidence functions (CIFs)
Plot method for 'tteICE' objects
Predict method for 'tteICE' objects at specific time points
Print method for 'tteICE' objects
Fit CIFs using composite variable strategy for semicompeting risks dat...
Fit CIFs using composite variable strategy for semicompeting risks dat...
Fit CIFs using hypothetical strategy (I) for semicompeting risks data,...
Fit CIFs using hypothetical strategy (I) for semicompeting risks data
Fit CIFs using principal stratum strategy for semicompeting risks data...
Fit CIFs using principal stratum strategy for semicompeting risks data
Fit CIFs using hypothetical strategy (II) for semicompeting risks data...
Fit CIFs using hypothetical strategy (II) for semicompeting risks data
Fit CIFs using treatment policy strategy for semicompeting risks data,...
Fit CIFs using treatment policy strategy for semicompeting risks data
Fit CIFs for semicompeting risks time-to-event data with intercurrent ...
Fit CIFs using while on treatment strategy for semicompeting risks dat...
Fit CIFs using while on treatment strategy for semicompeting risks dat...
Summary method for 'tteICE' objects
Calculate standard errors for estimated CIFs and treatment effects
Fit CIFs using composite variable strategy for competing risks data, b...
Fit CIFs using composite variable strategy for competing risks data
Estimate hazard ratios
Fit CIFs using hypothetical strategy (I) for competing risks data, bas...
Fit CIFs using hypothetical strategy (I) for competing risks data
Fit CIFs using principal stratum strategy for competing risks data, ba...
Fit CIFs using principal stratum strategy for competing risks data
Fit CIFs using hypothetical strategy (II) for competing risks data, ba...
Fit CIFs using hypothetical strategy (II) for competing risks data
Fit CIFs using treatment policy strategy for competing risks data, bas...
Fit CIFs using treatment policy strategy for competing risks data
Fit CIFs for competing risks time-to-event data with intercurrent even...
Fit CIFs using while on treatment strategy for competing risks data, b...
Fit CIFs using while on treatment strategy for competing risks data
tteICE: Treatment Effect Estimation for Time-to-Event Data with Interc...
Using formula to fit CIFs for time-to-event data with intercurrent eve...
Shiny app for tteICE
Analysis of treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICE) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025) <doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, the data involve a primary outcome event and, potentially, an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
Useful links