Regression models for the mean of the quality-of-life-adjusted restricted survival time using pseudo-observations.
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.
Andrei
Adin-Cristian
AC
Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, K6/428 CSC 600 Highland Avenue, Madison, Wisconsin 53792-4675, USA. andrei@biostat.wisc.edu
Murray
Susan
S
D000328:Adult; D001699:Biometry; D001943:Breast Neoplasms / Q000401:mortality / Q000628:therapy; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D016014:Linear Models; D008875:Middle Aged; D015233:Models, Statistical; D011379:Prognosis; D011788:Quality of Life; D012044:Regression Analysis; D016019:Survival Analysis