calc_pooled_intxn_shifts.Rd
Compute the Pooled Interaction Shift Parameter Estimate From the Fold Specific Results
calc_pooled_intxn_shifts(
intxn_shift_results,
estimator = c("tmle", "onestep"),
fluc_mod_out = NULL,
a_names,
w_names,
z_names,
fluctuation,
n_folds
)
A list of interaction results found across the parallelized CV fold procedure
The type of estimator to be fit, either "tmle"
for
targeted maximum likelihood estimation or "onestep"
for a one-step
estimator.
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
.
List of exposure names
List of covariate names
List of mediator names
Type of fluctuation to be used
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.
Estimate the value of the pooled causal parameter alongside statistical inference for the parameter estimate based on the nuisance parameters from the fold specific results for the interaction parameter.