Comparison of privacy-protecting analytic and data-sharing methods: A simulation study.

ABSTRACT:

Purpose

Privacy-protecting analytic and data-sharing methods that minimize the disclosure risk of sensitive information are increasingly important due to the growing interest in utilizing data across multiple sources. We conducted a simulation study to examine how avoiding sharing individual-level data in a distributed data network can affect analytic results.

Methods

The base scenario had four sites of varying sizes with 5% outcome incidence, 50% treatment prevalence, and seven confounders. We varied treatment prevalence, outcome incidence, treatment effect, site size, number of sites, and covariate distribution. Confounding adjustment was conducted using propensity score or disease risk score. We compared analyses of three types of aggregate-level data requested from sites

SUBMITTER: Yoshida K 

PROVIDER: S-EPMC6135666 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature