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Regression Models for the Mean of the Quality-of-Life-Adjusted Restricted Survival Time Using Pseudo-Observations

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In this research we develop generalized linear regression models for the mean of a quality-of-life-adjusted restricted survival time. Parameter and standard error estimates could be obtained from generalized estimating equations applied to pseudo-observations. Simulation studies with moderate sample sizes are conducted and an example from the International Breast Cancer Study Group Ludwig Trial V is used to illustrate the newly developed methodology.
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Keywords: Gap time; Inverse weighting; Nonparametric; Quality-of-life; Successive events

Document Type: Research Article

Affiliations: 1: Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, K6/428 CSC 600 Highland Avenue, Madison, Wisconsin 53792-4675, U.S.A., Email: [email protected] 2: Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, Michigan 48109, U.S.A.

Publication date: 2007-06-01

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