The analysis of multiple outcomes, multiple variables and variables selection in hematopoietic cell transplantation studies

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...

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Published inBest practice & research. Clinical haematology Vol. 36; no. 3; p. 101478
Main Authors Kim, Soyoung, Fang, Xi, Ahn, Kwang Woo
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Ltd 01.09.2023
Subjects
Competing risks
Composite endpoints
Hematopoietic Stem Cell Transplantation
Humans
Leukemia
Recurrent events
Variable selection
Competing risks
Composite endpoints
Recurrent events
Variable selection
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Summary: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.
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ISSN:1521-6926
1532-1924
1532-1924
DOI:10.1016/j.beha.2023.101478