Marginal versus conditional rate estimation for count and recurrent event data with an estimand framework

Count and recurrent event endpoints are common key efficacy endpoints in clinical research. For example, in clinical research of pulmonary diseases such as chronic obstructive pulmonary disease (COPD) or asthma, the reduction of the occurrence of a recurrent event, pulmonary exacerbation (PEx) cause...

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Bibliographic Details
Published in:	Contemporary clinical trials Vol. 138; p. 107414
Main Authors:	Conner, Sarah C., Zhou, Yijie, Xu, Tu
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.03.2024
Subjects:	Asthma - drug therapy Asthma - epidemiology Cardiovascular Collapsibility Computer Simulation Estimand framework G-computation Generalized linear model Hematology, Oncology, and Palliative Medicine Humans Marginal/conditional rate Models, Statistical Pulmonary Disease, Chronic Obstructive - epidemiology Recurrent events Research Design Estimand framework G-computation Generalized linear model Marginal/conditional rate Collapsibility Recurrent events
ISSN:	1551-7144, 1559-2030, 1559-2030
Online Access:	Get full text
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