DPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling.

ABSTRACT:

Objective

To develop a lossless distributed algorithm for generalized linear mixed model (GLMM) with application to privacy-preserving hospital profiling.

Materials and methods

The GLMM is often fitted to implement hospital profiling, using clinical or administrative claims data. Due to individual patient data (IPD) privacy regulations and the computational complexity of GLMM, a distributed algorithm for hospital profiling is needed. We develop a novel distributed penalized quasi-likelihood (dPQL) algorithm to fit GLMM when only aggregated data, rather than IPD, can be shared across hospitals. We also show that the standardized mortality rates, which are often reported as the results of hospital profiling, can also be calculated distributively without sharing IPD. We demonst

SUBMITTER: Luo C 

PROVIDER: S-EPMC9277633 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature