Weighted estimating equations for linear regression analysis of clustered failure time data

Lifetime Data Analysis

Volumn 9, Issue 2, 2003, Pages 123-138

  Gray, Robert J ^a  

^a DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Asymptotic relative efficiency; Clayton's model; Exchangeable working model; Stable model

Indexed keywords

ARTICLE; CLUSTER ANALYSIS; COMPUTER SIMULATION; HUMAN; PROPORTIONAL HAZARDS MODEL; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL;

CLUSTER ANALYSIS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; LINEAR MODELS; PROPORTIONAL HAZARDS MODELS; SURVIVAL ANALYSIS;

EID: 0038655601     PISSN: 13807870     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1022932117951     Document Type: Article

References (19)

1. J. Buckley and I. James, "Linear regression with censored data," Biometrika vol. 66 pp. 429-436, 1979.
2. J. Cai and R. L. Prentice, "Estimating equations for hazard ratio parameters based on correlated failure time data," Biometrika vol. 82 pp. 151-164, 1995.
3. J. Cai and R. L. Prentice, "Regression estimation using multivariate failure time data and a common baseline hazard function model," Lifetime Data Anal. vol. 3 pp. 197-213, 1997.
4. D. Clayton, "A model for association in bivariate life-tables and its application in epidemiological studies of familial tendency in chronic disease incidence," Biometrika vol. 65 pp. 141-151, 1978.
5. M. Fygenson and Y. Ritov, "Monotone estimating equations for censored data," Ann. Statist. vol. 22 pp. 732-746, 1994.
6. R. J. Gray, "Estimation of regression parameters and the hazard function in transformed linear survival models," Biometrics vol. 56 pp. 571-576, 2000.
7. R. J. Gray and Y. Li, "Optimal weight functions for marginal proportional hazards analysis of clustered failure time data," Lifetime Data Anal. vol. 8 pp. 5-19, 2002.
8. P. Hougaard, "A class of multivariate failure time distributions," Biometrika vol. 73 pp. 671-678, 1986.
9. F. Hsieh, "Estimators in homoscedastic linear regression models with censored data: an empirical process approach," Ann. Statist. vol. 25 pp. 2665-2681, 1997.
10. M. P. Jones, "A class of semiparametric regressions for the accelerated failure time model," Biometrika vol. 84 pp. 73-84, 1997.
11. J. D. Kalbfleisch and R. L. Prentice, The Statistical Analysis Of Failure Time Data, John Wiley: New York, 1980.
12. K.-Y. Liang and S. L. Zeger, "Longitudinal data analysis using generalized linear models," Biometrika vol. 73 pp. 13-22, 1986.
13. T. A. Louis, "Nonparametric analysis of an accelerated failure time model," Biometrika vol. 68 pp. 381-390, 1981.
14. Y. Ritov, "Estimation in a linear regression model with censored data," Ann. Statist. vol. 18 pp. 303-328, 1990.
15. C. F. Spiekerman and D. Y. Lin, "Marginal regression models for multivariate failure time data," J. Am. Statist. Assoc. vol. 93 pp. 1164-1175, 1998.
16. A. A. Tsiatis, "Estimating regression parameters using linear rank tests for censored data," Ann. Statist. vol. 18 pp. 354-372, 1990.
17. L. J. Wei, Z. Ying, and D. Y. Lin, "Linear regression analysis of censored survival data based on rank tests," Biometrika vol. 77 pp. 845-851, 1990.
18. Z. Ying, "A large sample study of rank estimation for censored regression data," Ann. Statist. vol. 21 pp. 76-99, 1993.
19. Z. Ying, L. J. Wei, and J. S. Lin, "Prediction of survival probability based on a linear regression model," Biometrika vol. 79 pp. 205-209, 1992.