A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data-Reference-Cited by-同舟云学术

A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data

Published:2015-09-22 Issue:1 Volume:72 Page:222-231
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Wang Lianming¹,McMahan Christopher S.²,Hudgens Michael G.³,Qureshi Zaina P.⁴

Affiliation:

1. Department of Statistics; University of South Carolina; Columbia, South Carolina 29208 U.S.A.

2. Department of Mathematical Sciences; Clemson University; Clemson, South Carolina 29634 U.S.A.

3. Department of Biostatistics; University of North Carolina at Chapel Hill; Chapel Hill, North Carolina 27599 U.S.A.

4. Department of Health Services Policy and Management; University of South Carolina; Columbia, South Carolina 29208 U.S.A.

Publisher

Wiley

Subject

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

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12389/fullpdf

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3. Bayesian proportional hazards model for current status data with monotone splines;Cai;Computational Statistics and Data Analysis,2011

4. Hazard regression for interval-censored data with penalized spline;Cai;Biometrics,2003

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