param_combine

Parameter data-set with subgroup-specific point estimates, SEs, and
sample sizes.

param.dat

Method to combine subgroup-specific estimates. Default is "SS",
or sample size weighting. Another option is "maxZ"(see Mehrotra
and Marceau-West 2021).

combine

Two-sided alpha level for overall population. Default=0.05

alpha

Any additional parameters, not currently passed through.

Function that combines subgroup-specific estimates to obtain an overall population
estimate. Options including sample size weighting and max Z weighting

A toolkit for stratified medicine, subgroup identification, and precision medicine.
Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate
models (counterfactual patient-level quantities, such as the conditional average treatment effect),
(3) subgroup identification models (find subsets of patients with similar treatment effects),
and (4) treatment effect estimation and inference (for the overall population and discovered
subgroups). These tools can be customized and are directly used in PRISM
(patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019
<arXiv:1912.03337>. This package is in beta and will be continually updated.

param_combine: Overall Population Estimate: Aggregating Subgroup-Specific Parameter Estimates

Description

Usage

Arguments

Value