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Regression Models for the Mean of the Quality‐of‐Life‐Adjusted Restricted Survival Time Using Pseudo‐Observations
Author(s) -
Andrei AdinCristian,
Murray Susan
Publication year - 2007
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.1541-0420.2006.00723.x
Subject(s) - statistics , linear regression , regression , mathematics , regression analysis , standard error , sample size determination , generalized linear model , survival analysis , econometrics
Summary 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.