estimatePool: Pooled estimation for COLA-GLM and COLA-GLM-H
In pda: Privacy-Preserving Distributed Algorithms

estimatePool

R Documentation

Pooled estimation for COLA-GLM and COLA-GLM-H

Description

Performs pooled estimation for Generalized Linear Models (GLMs) using either the standard COLA-GLM approach or the heterogeneous intercept extension (COLA-GLM-H). This function supports binary and Poisson outcomes.

Usage

estimatePool(KSiteIPD, formula, family = "binomial", 
outcome_name, heter_intercept = FALSE)

Arguments

`KSiteIPD`	`glm` data
`formula`	`glm` formula
`family`	`glm` family
`outcome_name`	outcome name
`heter_intercept`	Logical; if `TRUE`, includes site-specific intercepts to model heterogeneity across sites.