The impact of different censoring methods for analyzing survival using real-world data with linked mortality information: a simulation study.

ABSTRACT:

Background

Evaluating outcome reliability is critical in real-world evidence studies. Overall survival is a common outcome in these studies; however, its capture in real-world data (RWD) sources is often incomplete and supplemented with linked mortality information from external sources. Conflicting recommendations exist for censoring overall survival in real-world evidence studies. This simulation study aimed to understand the impact of different censoring methods on estimating median survival and log hazard ratios when external mortality information is partially captured.

Methods

We used Monte Carlo simulation to emulate a non-randomized comparative effectiveness study of two treatments with RWD from electronic health records and linked external mortality data. We simulate

SUBMITTER: Hsu WC 

PROVIDER: S-EPMC11395225 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature