onestep_single_t: One-step TMLE estimator for survival at specific time point

In wilsoncai1992/onestep.survival: One-step TMLE for survival analysis

Description

One-step TMLE estimator for survival at specific time point

Usage

onestep_single_t(dat, tk, dW = rep(1, nrow(dat)), SL.trt = c("SL.glm",
  "SL.step", "SL.earth"), SL.ctime = c("SL.glm", "SL.step", "SL.earth"),
  SL.ftime = c("SL.glm", "SL.step", "SL.earth"), maxIter = 300,
  epsilon_step = 0.001, tol = 1/nrow(dat), T.cutoff = NULL,
  verbose = FALSE)

Arguments

dat	data.frame with columns T, A, C, W. All columns with character "W" will be treated as baseline covariates.
tk	time point to compute survival probability
dW	binary input vector specifying dynamic treatment (as a function output of W)
SL.trt	SuperLearner library for fitting treatment regression
SL.ctime	SuperLearner library for fitting censoring regression
SL.ftime	SuperLearner library for fitting conditional hazard regression
maxIter	maximal number of recursion for one-step
epsilon_step	step size for one-step recursion
tol	tolerance for optimization
T.cutoff	manual right censor the data; remove parts dont want to esimate
verbose	to print log-likelihood value during optimzation

Examples

# TO DO

wilsoncai1992/onestep.survival documentation built on May 29, 2019, 11:58 a.m.