Application of 3-level random-effects Meta-analysis model in prognosis-related Meta-analysis MENG
Xiang-yu
ZHOU Xin-yu
LI Sheng
WENG Hong
ZENG Xian-tao
Abstract：Multiple outcomes are often involved in medical research. In studies concerning long term follow-up, generally multiple time-to-event (TTE) outcomes are investigated, for example, progression-free survival and overall survival. These outcomes are correlated with each other, and split-and-merge results will increase the probability of type I error. The 3-level random-effects Meta-analysis model is used in the Meta-analysis on multiple correlated TTE outcomes may prevent above mentioned problems.
Keywords：Three-level random-effects Meta-analysis modelMeta-analysisPrognosis
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 513-516 )