A general framework for random effects survival analysis in the cox proportional hazards setting

Biometrics

Volumn 54, Issue 4, 1998, Pages 1486-1497

  Sargent, Daniel J ^a  

^a MAYO CLINIC   (United States)

Author keywords

Frailty models; Hierarchical models; Markov chain Monte Carlo; Multivariate survival data

Indexed keywords

CHAINS; HAZARDS; HIERARCHICAL SYSTEMS; MONTE CARLO METHODS;

FRAILTY MODELS; HAZARD FUNCTION; HIERARCHICAL MODEL; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MULTIVARIATE SURVIVAL DATA; RANDOM EFFECTS; RANDOM EFFECTS MODEL; SURVIVAL ANALYSIS; SURVIVAL DATA;

MARKOV PROCESSES;

ANIMAL MODEL; ARTICLE; BIOSTATISTICS; CANCER SURVIVAL; CONTROLLED STUDY; HUMAN; NONHUMAN; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL RATE; TREATMENT OUTCOME;

EID: 0032442347     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.2307/2533673     Document Type: Article

References (9)

1. Andersen, P. K. and Gill, R. D. (1982). Cox's regression model for counting processes: A large sample study. Annals of Statistics 10, 1100-1120.
2. Aslanidou, H., Dey, D. K., and Sinha, D. (1998). Bayesian analysis of multivariate survival data using Monte Carlo methods. Canadian Journal of Statistics 26, 33-48.
3. Carlin, B. P. and Louis, T. A. (1996). Bayes and Empirical Bayes Methods for Data Analysis. London: Chapman and Hall.
4. Clayton, D. G. (1978). A model for association in bivariate life tables and its applications in epidemiological studies of familial tendency in chronic disease incidence. Biometrika 65, 141-151.
5. Clayton, D. G. (1991). A Monte Carlo method for Bayesian inference in frailty models. Biometrics 47, 467-485.
6. Clayton, D. G. and Cuzick, J. (1985). Multivariate associations of the proportional hazards model. Journal of the Royal Statistical Society, Series A 148, 82-108.
7. Cox, D. R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statistical Society, Series B 34, 187-220.
8. Cox, D. R. (1975). Partial likelihood. Biometrika 62, 269-275.
9. Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977). Maximum likelihood estimation from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, Series B 39, 1-38.