Semiparametric regression analysis of interval-censored data

Biometrics

Volumn 56, Issue 4, 2000, Pages 1139-1144

  Goetghebeur, Els ^a   Ryan, Louise ^b  

^a GHENT UNIVERSITY   (Belgium)

^b DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Breslow estimator; EM algorithm; Proportional hazards

Indexed keywords

HAZARDS;

BRESLOW ESTIMATOR; CENSORED DATA; EM ALGORITHMS; INCOMPLETE DATA; PARTIAL LIKELIHOODS; PROPORTIONAL HAZARDS; REGRESSION COEFFICIENT; SEMI-PARAMETRIC REGRESSIONS; SEMIPARAMETRIC; SIMPLE++;

REGRESSION ANALYSIS;

ALGORITHM; ARTICLE; BREAST CANCER; DATA ANALYSIS; NONBIOLOGICAL MODEL; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; VARIANCE;

EID: 0033635162     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.01139.x     Document Type: Article

References (25)

1. Local EM estimation of the hazard function for interval-censored data
2. The EM algorithm for Cox's regression model using GLIM
3. Regression models and life-tables
4. An EM algorithm to adjust for missing data in estimating equations
5. A proportional hazards model for interval-censored failure time data
6. Marginal partial likelihood
7. A Markov chain Monte Carlo EM algorithm for analyzing interval-censored data under the Cox proportional hazards model
8. Ignorability and coarse data
9. Quasi-likelihood and generalizing the EM algorithm
10. Asymptotic properties of nonparametric estimation based on partly interval censored data
11. Asymptotic normality of the NPMLE of linear functionals for interval-censored data, case 1
12. Hazard regression with interval-censored data
13. Methods for interval censored data. Tutorial in biostatistics
14. Finding the observed information matrix when using the EM algorithm
15. Using EM to obtain asymptotic variance-covariance matrices: The SEM algorithm
16. A fast improvement to the EM algorithm on its own terms
17. Asymptotic theory for the frailty model
18. Observed information in semi-parametric models
19. Maximum likelihood estimation for interval censored data using a Weibull-based accelerated failure time model
20. A multiple imputation approach to Cox regression with interval-censored data
21. Multiple imputation in health-care data bases: An overview and some applications
22. Rank-based inference in the proportional hazards model for interval censored data
23. Inference based on imputed failure times for the proportional hazards model with interval-censored data
24. The empirical distribution function with arbitrarily grouped, censored and truncated data