param_combine

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

param.dat

Method to combine subgroup-specific estimates. Default is "adaptive".
combine="SS" uses sample size weighting.

combine

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

alpha_ovrl

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 adaptive weighting (default; as
described in Marceau-West and Mehrotra 2019 in progress).

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, for example the individual treatment effect),
(3) subgroup identification models (find subsets of patients with similar treatment effects),
and (4) parameter estimation and inference (for the overall population and discovered subgroups).
These tools can directly feed into stratified medicine algorithms including PRISM
(patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019 (in progress)).
PRISM is a flexible and general framework which accepts user-created models/functions. This
package is in beta and will be continually updated.

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

Description

Usage

Arguments

Value

See Also