Frailty models for survival data

Lifetime Data Analysis

Volumn 1, Issue 3, 1995, Pages 255-273

  Hougaard, Philip ^a  

^a NOVO NORDISK A S   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; CHILD; FEMALE; HUMAN; MALE; MIDDLE AGED; MORTALITY; MULTIVARIATE ANALYSIS; PROPORTIONAL HAZARDS MODEL; REVIEW; STATISTICAL MODEL; SURVIVAL; TWINS;

ADOLESCENT; ADULT; AGED; CHILD; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; MORTALITY; MULTIVARIATE ANALYSIS; PROPORTIONAL HAZARDS MODELS; SURVIVAL ANALYSIS; TWINS;

EID: 0029420405     PISSN: 13807870     EISSN: 15729249     Source Type: Journal    
DOI: 10.1007/BF00985760     Document Type: Article

References (59)

1. Two examples of modelling heterogeneity in survival analysis
2. Mixing distributions on a Markov chain
3. Heterogeneity in survival analysis
4. Modelling heterogeneity in survival analysis by the compound Poisson distribution
5. Effects of frailty in survival analysis
6. Counting process models for life history data: A review
7. Reproducibility and natural exponential families with power variance functions
8. Empirical Bayes analysis of survival time data
9. A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
10. Multivariate generalizations of the proportional hazards model (with discussion)
11. Regression models and life tables (with discussion)
12. A multivariate distribution with Weibull connections
13. True and spurious duration dependence: the identifiability of the proportional hazard model
14. An alternative approach to modeling recidivism using quantile residual life functions
15. A bivariate extension of the exponential distribution
16. Copules Archimediennes et familles de lois bidimensionnelles dont les marges sont donnees
17. Bivariate exponential distributions
18. Use of sibling data to estimate family mortality effects in Guatemala
19. Estimating a multivariate proportional hazards model for clustered data using the EM algorithm. With an application to child survival in Guatemala
20. Life table methods for heterogeneous populations: Distributions describing the heterogeneity
21. Survival models for heterogeneous populations derived from stable distributions
22. A class of multivariate failure time distributions
23. Modelling multivariate survival
24. Fitting a multivariate failure time distribution
25. Modelling heterogeneity in survival data
26. Measuring the similarities between the lifetimes of adult Danish twins born between 1881–1930
27. Heterogeneity models of disease susceptibility, with application to diabetic nephropathy
28. Parametric families of multivariate distributions with given margins
29. Exponential dispersion models
30. Semiparametric estimation of random effects using the Cox model based on the EM algorithm
31. Econometric methods for the duration of unemployment
32. Multivariate distributions having Weibull properties
33. Stochastic processes directed by randomized time
34. Least squares estimation for the multivariate Weibull model of Hougaard based on accelerated life test of system and component
35. Some new constructions of bivariate Weibull models
36. A multivariate exponential distribution
37. Consistency in a proportional hazards model incorporating a random effect
38. A counting process approach to maximum likelihood estimation in frailty models
39. A model for association in bivariate survival data
40. Bivariate survival models induced by frailties
41. Fisher information for a bivariate extreme value distribution
42. Survival models for development genetic data: Age of onset of puberty and antisocial behaviour in twins
43. Bivariate extreme value theory; Models and estimation
44. Bivariate survival models for analysis of genetic and environmental effects in twins
45. The impact of heterogeneity in individual frailty on the dynamics of mortality
46. A bivariate survival model with modified gamma frailty for assessing the impact of interventions
47. A multivariate survival distribution generated by an inverse Gaussian mixture of exponentials
48. Dependent competing risks: a stochastic process model
49. The propagation of uncertainty in human mortality processes operating in stochastic environments