Regression models for the mean of the quality-of-life-adjusted restricted survival time using pseudo-observations

Adin Cristian Andrei; Susan Murray

doi:10.1111/j.1541-0420.2006.00723.x

Regression models for the mean of the quality-of-life-adjusted restricted survival time using pseudo-observations

Adin Cristian Andrei^*, Susan Murray

^*Corresponding author for this work

Preventive Medicine

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	398-404
Number of pages	7
Journal	Biometrics
Volume	63
Issue number	2
DOIs	https://doi.org/10.1111/j.1541-0420.2006.00723.x
State	Published - Jun 2007

Keywords

Gap time
Inverse weighting
Nonparametric
Quality-of-life
Successive events

ASJC Scopus subject areas

General Agricultural and Biological Sciences
Applied Mathematics
General Biochemistry, Genetics and Molecular Biology
General Immunology and Microbiology
Statistics and Probability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1111/j.1541-0420.2006.00723.x

Cite this

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abstract = "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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author = "Andrei, {Adin Cristian} and Susan Murray",

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AU - Andrei, Adin Cristian

AU - Murray, Susan

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AB - 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.

KW - Gap time

KW - Inverse weighting

KW - Nonparametric

KW - Quality-of-life

KW - Successive events

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Regression models for the mean of the quality-of-life-adjusted restricted survival time using pseudo-observations

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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