Methods for Assessing Longitudinal Biomarkers of Time-to-Event Outcomes in CKD: A Simulation Study.

ABSTRACT:

Background and objectives

Identifying novel biomarkers is critical to advancing diagnosis and treatment of CKD, but relies heavily on the statistical methods used. Inappropriate methods can lead to both false positive and false negative associations between biomarkers and outcomes. This study assessed accuracy of methods using computer simulations and compared biomarker association estimates in the NEPhrotic syndrome sTUdy NEtwork (NEPTUNE), a prospective cohort study of patients with glomerular disease.

Design, setting, participants, & measurements

We compared three methods for analyzing repeatedly measured biomarkers in proportional hazards models: (1) time-invariant average, that averages values over all follow-up and uses the average as a baseline covariate, (2

SUBMITTER: Liu Q 

PROVIDER: S-EPMC6730514 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature