Medical College of Wisconsin
CTSICores SearchResearch InformaticsREDCap

The analysis of multiple outcomes, multiple variables and variables selection in hematopoietic cell transplantation studies. Best Pract Res Clin Haematol 2023 Sep;36(3):101478

Date

08/24/2023

Pubmed ID

37611996

Pubmed Central ID

PMC10447944

DOI

10.1016/j.beha.2023.101478

Scopus ID

2-s2.0-85161269131 (requires institutional sign-in at Scopus site)   1 Citation

Abstract

It is common to study time-to-event data in cancer research such as hematopoietic cell transplantation (HCT) for leukemia. The extensive work has been done for the univariate survival outcome, that is, one event type. However, in practice a subject is often exposed to multiple types of outcomes. In this article, we review various types of right-censored data with multiple outcome types including competing risks data, recurrent event data, and composite endpoints. We also provide hematopoietic cell transplantation data examples.

Author List

Kim S, Fang X, Ahn KW

Authors

Kwang Woo Ahn PhD Professor in the Institute for Health and Equity department at Medical College of Wisconsin
Soyoung Kim PhD Associate Professor in the Institute for Health and Equity department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Hematopoietic Stem Cell Transplantation
Humans
Leukemia