Compute the Pooled Shift Parameter Estimate From the Fold Specific Results

Compute the Pooled Shift Parameter Estimate From the Fold Specific Results

calc_pooled_indiv_shifts(
  indiv_shift_results,
  estimator = c("tmle", "onestep"),
  fluc_mod_out = NULL,
  fluctuation,
  n_folds
)

Arguments

indiv_shift_results

List of individual shift results from the parallelized CV estimation

estimator

The type of estimator to be fit, either "tmle" for targeted maximum likelihood estimation or "onestep" for a one-step estimator.

fluc_mod_out

An object giving values of the logistic tilting model for targeted minimum loss estimation. This type of object should be the output of the internal routines to perform this step of the TML estimation procedure, as given by fit_fluctuation.

fluctuation

Type of fluctuation to use

n_folds

Number of folds used in the CV.

Value

A list containing the parameter estimate, estimated variance based on the efficient influence function (EIF), the estimate of the EIF incorporating inverse probability of censoring weights, and the estimate of the EIF without the application of such weights.

Details

Estimate the value of the pooledcausal parameter alongside statistical inference for the parameter estimate based on the nuisance parameters from the fold specific results.