Skip to main content

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

Buy Article:

$51.00 plus tax (Refund Policy)



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.

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: 2: Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, Michigan 48109, U.S.A.

Publication date: June 1, 2007

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Partial Open Access Content
Partial Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more