Scholars@Duke publication: Proportional hazards models: A latent competing risk approach

Proportional hazards models: A latent competing risk approach

Publication , Journal Article

Gelfand, AE; Ghosh, SK; Christiansen, C; Soumerai, SB; McLaughlin, TJ

Published in: Journal of the Royal Statistical Society. Series C: Applied Statistics

2000

We propose a novel semiparametric version of the widely used proportional hazards survival model. Features include an arbitrarily rich class of continuous base-line hazards, an attractive epidemiological interpretation of the hazard as a latent competing risk model and trivial handling of censoring. Models are fitted by using a data augmentation scheme. The methodology is applied to a data set recording times to first hospitalization following clinical diagnosis of acquired immune deficiency syndrome for a sample of 169 patients.

Duke Scholars

Author Alan E. Gelfand Statistical Science

Published In

Journal of the Royal Statistical Society. Series C: Applied Statistics

Publication Date

2000

Volume

Issue

Start / End Page

385 / 397

Related Subject Headings

Statistics & Probability
0104 Statistics

Citation

APA

Chicago

ICMJE

MLA

NLM

Gelfand, A. E., Ghosh, S. K., Christiansen, C., Soumerai, S. B., & McLaughlin, T. J. (2000). Proportional hazards models: A latent competing risk approach. Journal of the Royal Statistical Society. Series C: Applied Statistics, 49(3), 385–397.

Gelfand, A. E., S. K. Ghosh, C. Christiansen, S. B. Soumerai, and T. J. McLaughlin. “Proportional hazards models: A latent competing risk approach.” Journal of the Royal Statistical Society. Series C: Applied Statistics 49, no. 3 (2000): 385–97.

Gelfand AE, Ghosh SK, Christiansen C, Soumerai SB, McLaughlin TJ. Proportional hazards models: A latent competing risk approach. Journal of the Royal Statistical Society Series C: Applied Statistics. 2000;49(3):385–97.

Gelfand, A. E., et al. “Proportional hazards models: A latent competing risk approach.” Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 49, no. 3, 2000, pp. 385–97.