Estimation of multivariate frailty models using penalized partial likelihood

Biometrics

Volumn 56, Issue 4, 2000, Pages 1016-1022

  Ripatti, Samuli ^a,b   Palmgren, Juni ^b,c  

^a UNIVERSITY OF HELSINKI   (Finland)

^b STOCKHOLM UNIVERSITY   (Sweden)

^c KAROLINSKA INSTITUTE   (Sweden)

Author keywords

Dependent failure times; Frailty; Multivariate survival models; Penalized partial likelihood; Proportional hazards model; Random effects model; Variance components

Indexed keywords

HIP PROSTHESES;

DEPENDENT FAILURE; DEPENDENT FAILURE TIME; FAILURE TIME; FRAILTY; MULTIVARIATE SURVIVAL MODELS; PARTIAL LIKELIHOODS; PENALIZED PARTIAL LIKELIHOOD; PROPORTIONAL HAZARD MODELS; RANDOM EFFECTS MODEL; VARIANCE COMPONENTS;

RANDOM PROCESSES;

ARTICLE; BIOSTATISTICS; MATHEMATICAL MODEL; MULTIVARIATE ANALYSIS; SURVIVAL; VARIANCE;

EID: 0033635611     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.01016.x     Document Type: Article

References (18)

1. Covariance analysis of censored survival data
2. Approximate inference in generalized linear models
3. Multivariate generalizations of the proportional hazards model
4. Regression models and life tables
5. Penalized likelihood for general semiparametric regression model
6. Modelling heterogeneity in survival data
7. Frailty models for survival data
8. An extension of Cox's regression model
9. Semiparametric estimation of random effects using the Cox model based on the EM algorithm
10. The additive genetic gamma frailty model
11. Empirical Bayes confidence intervals based on bootstrap samples
12. REML estimation for survival models with frailty
13. Variance components models for survival data
14. The impact of heterogeneity in individual frailty on the dynamics of mortality
15. Regression analysis of multivariate incomplete failure time data by modelling marginal distributions