Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms

We derive estimators of the mean of a function of a quality-of-life adjusted failure time, in the presence of competing right censoring mechanisms. Our approach allows for the possibility that some or all of the competing censoring mechanisms are associated with the endpoint, even after adjustment f...

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Autores principales: Rotnitzky, A., Bergesio, A., Farall, A.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_13807870_v15_n1_p1_Rotnitzky
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spelling todo:paper_13807870_v15_n1_p1_Rotnitzky2023-10-03T16:11:41Z Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms Rotnitzky, A. Bergesio, A. Farall, A. Cause-specific Dependent censoring Inverse weighted probability Sensitivity analysis anti human immunodeficiency virus agent acquired immune deficiency syndrome article biometry human methodology probability prognosis quality of life randomized controlled trial sensitivity and specificity treatment failure Acquired Immunodeficiency Syndrome Anti-HIV Agents Biometry Humans Probability Prognosis Quality of Life Randomized Controlled Trials as Topic Research Design Sensitivity and Specificity Treatment Failure We derive estimators of the mean of a function of a quality-of-life adjusted failure time, in the presence of competing right censoring mechanisms. Our approach allows for the possibility that some or all of the competing censoring mechanisms are associated with the endpoint, even after adjustment for recorded prognostic factors, with the degree of residual association possibly different for distinct censoring processes. Our methods generalize from a single to many censoring processes and from ignorable to non-ignorable censoring processes. © 2008 Springer Science+Business Media, LLC. Fil:Bergesio, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_13807870_v15_n1_p1_Rotnitzky
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Cause-specific
Dependent censoring
Inverse weighted probability
Sensitivity analysis
anti human immunodeficiency virus agent
acquired immune deficiency syndrome
article
biometry
human
methodology
probability
prognosis
quality of life
randomized controlled trial
sensitivity and specificity
treatment failure
Acquired Immunodeficiency Syndrome
Anti-HIV Agents
Biometry
Humans
Probability
Prognosis
Quality of Life
Randomized Controlled Trials as Topic
Research Design
Sensitivity and Specificity
Treatment Failure
spellingShingle Cause-specific
Dependent censoring
Inverse weighted probability
Sensitivity analysis
anti human immunodeficiency virus agent
acquired immune deficiency syndrome
article
biometry
human
methodology
probability
prognosis
quality of life
randomized controlled trial
sensitivity and specificity
treatment failure
Acquired Immunodeficiency Syndrome
Anti-HIV Agents
Biometry
Humans
Probability
Prognosis
Quality of Life
Randomized Controlled Trials as Topic
Research Design
Sensitivity and Specificity
Treatment Failure
Rotnitzky, A.
Bergesio, A.
Farall, A.
Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms
topic_facet Cause-specific
Dependent censoring
Inverse weighted probability
Sensitivity analysis
anti human immunodeficiency virus agent
acquired immune deficiency syndrome
article
biometry
human
methodology
probability
prognosis
quality of life
randomized controlled trial
sensitivity and specificity
treatment failure
Acquired Immunodeficiency Syndrome
Anti-HIV Agents
Biometry
Humans
Probability
Prognosis
Quality of Life
Randomized Controlled Trials as Topic
Research Design
Sensitivity and Specificity
Treatment Failure
description We derive estimators of the mean of a function of a quality-of-life adjusted failure time, in the presence of competing right censoring mechanisms. Our approach allows for the possibility that some or all of the competing censoring mechanisms are associated with the endpoint, even after adjustment for recorded prognostic factors, with the degree of residual association possibly different for distinct censoring processes. Our methods generalize from a single to many censoring processes and from ignorable to non-ignorable censoring processes. © 2008 Springer Science+Business Media, LLC.
format JOUR
author Rotnitzky, A.
Bergesio, A.
Farall, A.
author_facet Rotnitzky, A.
Bergesio, A.
Farall, A.
author_sort Rotnitzky, A.
title Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms
title_short Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms
title_full Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms
title_fullStr Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms
title_full_unstemmed Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms
title_sort analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms
url http://hdl.handle.net/20.500.12110/paper_13807870_v15_n1_p1_Rotnitzky
work_keys_str_mv AT rotnitzkya analysisofqualityoflifeadjustedfailuretimedatainthepresenceofcompetingpossiblyinformativecensoringmechanisms
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AT faralla analysisofqualityoflifeadjustedfailuretimedatainthepresenceofcompetingpossiblyinformativecensoringmechanisms
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