A method for analyzing clustered interval-censored data based on Cox's model

Statistics in Medicine

Volumn 32, Issue 5, 2013, Pages 822-832

  Kor, Chew Teng ^a   Cheng, Kuang Fu ^a   Chen, Yi Hau ^b  

^a CHINA MEDICAL UNIVERSITY   (Taiwan)

^b INSTITUTE OF STATISTICAL SCIENCE   (Taiwan)

Author keywords

Cluster; Copula model; Cox model; Estimating equation; Interval censored

Indexed keywords

ANALYSIS OF COVARIANCE; ARTICLE; CLUSTER ANALYSIS; COHORT ANALYSIS; DATA ANALYSIS; HAZARD RATIO; HUMAN; INCIDENCE; INFLUENZA A (H1N1); INFLUENZA VACCINATION; INTERVAL CENSORED DATA; MATHEMATICAL COMPUTING; PROCESS DEVELOPMENT; PROCESS MODEL; PROPORTIONAL HAZARDS MODEL; STATISTICAL ANALYSIS;

BIOSTATISTICS; CLUSTER ANALYSIS; COHORT STUDIES; DATA INTERPRETATION, STATISTICAL; HUMANS; INCIDENCE; INFLUENZA A VIRUS, H1N1 SUBTYPE; INFLUENZA, HUMAN; PROPORTIONAL HAZARDS MODELS; TAIWAN; TIME FACTORS;

EID: 84873472553     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5562     Document Type: Article

References (13)

1. Peto R. Experimental survival curves for interval-censored data. Applied Statistics 1973; 22:86-91.
2. Turnbull BW. The empirical distribution function with arbitrarily grouped censored and truncated data. Journal of the Royal Statistical Society. Series B 1976; 38:290-295.
3. Groeneboom P, Wellner JA. Information Bounds and Nonparametric Maximum Likelihood Estimation. Birkhaeuser: Boston, 1992.
4. Finkelstein DM. A proportional hazards model for interval-censored failure time data. Biometrics 1986; 42:845-854.
5. Huang J. Efficient estimation for the proportional hazards model with interval censoring. The Annals of Statistics 1996; 24:540-568.
6. Goggins W, Finkelstein DM. A proportional hazards model for multivariate interval-censored failure time data. Biometrics 2000; 56:940-943.
7. Kim M, Xue X. The analysis of multivariate interval-censored survival data. Statistics in Medicine 2002; 21:3715-3726.
8. Wei LJ, Lin DY, Weissfeld L. Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. Journal of the American Statistical Association 1989; 84:1065-1073.
9. Cook RJ, Tolusso D. Second-order estimating equations for the analysis of clustered current status data. Biostatistics 2009; 10:756-772.
10. Cox DR. Regression models and life-tables (with discussion). Journal of Royal Statistical Society. Series B 1972; 34:187-220.
11. Liang KY, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika 1986; 73:13-22.
12. Hens N, Wienke A, Aerts M, Molenberghs G. The correlated and shared gamma frailty model for bivariate current status data: an illustration for cross-sectional serological data. Statistics in Medicine 2009; 27:2785-2800.
13. Bellamy SL, Li Y, Ryan LM, Lipsitz S, Canner MJ, Wright R. Analysis of clustered and interval censored data from a community-based study in asthma. Statistics in Medicine 2004; 23:3607-3621.