Missing tumor measurement (TM) data in the search for alternative TM-based endpoints in cancer clinical trials.

ABSTRACT:

Purpose

Missing data commonly occur in cancer clinical trials (CCT) and may hinder the search for alternative trial endpoints. We consider reasons for missing tumor measurement (TM) data in CCT and how missing TM data are typically handled. We explore the potential impact of missing TM data on predictive ability of a set of TM-based endpoints.

Methods

Literature review identifies reasons for and approaches to handling missing TM data. Data from 3 actual clinical trials were used for illustration. A sensitivity analysis of the potential impact of missing TM data was performed by comparing overall survival (OS) predictive ability of alternative endpoints using observed and imputed data.

Results

Reasons for missing TM data in CCT are presented, based on the literature re

SUBMITTER: An MW 

PROVIDER: S-EPMC6909186 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature