Semiparametric Regression Analysis of Interval-Censored Competing Risks Data

Interval-censored competing risks data arise when each study subject may experience an event or failure from one of several causes and the failure time is not observed directly but rather is known to lie in an interval between two examinations. We formulate the effects of possibly time-varying (exte...

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Veröffentlicht in:	Biometrics Jg. 73; H. 3; S. 857 - 865
Hauptverfasser:	Mao, Lu, Lin, Dan-Yu, Zeng, Donglin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Wiley-Blackwell 01.09.2017 Blackwell Publishing Ltd
Schlagworte:	algorithms biometry Computer Simulation Cumulative incidence Data processing DISCUSSION PAPER Distribution functions Economic models Empirical analysis Failure Hazards HIV HIV infections Human immunodeficiency virus Human immunodeficiency virus 1 Interval censoring Likelihood Functions Maximum likelihood estimation Models, Statistical Nonparametric maximum likelihood estimation Normality Parameter estimation Regression Analysis Regression models Risk Self‐consistency algorithm Time‐varying covariates Transformation models Cumulative incidence Interval censoring Time-varying covariates Nonparametric maximum likelihood estimation Self-consistency algorithm Transformation models
ISSN:	0006-341X, 1541-0420, 1541-0420
Online-Zugang:	Volltext
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