A general multilevel multistate competing risks model for event history data, with an application to a study of contraceptive use dynamics

Statistical Modeling

Volumn 4, Issue 2, 2004, Pages 145-159

  Steele, Fiona ^a   Goldstein, Harvey ^a   Browne, William ^b  

^a UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

competing risks; contraceptive use; event history analysis; multilevel model; multistate model

Indexed keywords

EID: 84993742006     PISSN: 1471082X     EISSN: None     Source Type: Journal    
DOI: 10.1191/1471082X04st069oa     Document Type: Article

References (20)

1. Browne W.J. and Draper D. (2000) Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models. Computational Statistics 15, 391-420.
2. Browne W.J. (2002) MCMC estimation in MLwiN. London, Institute of Education.
3. Central Bureau of Statistics (CBS) [Indonesia], State Ministry of Population / National Family Planning Coordination Board (NFPCB), Ministry of Health (MOH) and Macro International Inc. (MI) (1998) Indonesia Demographic and Health Survey 1997. Calverton, MD: CBS and MI.
4. Clayton D.G. and Cuzick J. (1985) Multivariate generalizations of the proportional hazards model (with discussion). Journal of the Royal Statistical Society, Series A 148, 82-117.
5. Curtis S.L. and Blanc A. (1997) Determinants of contraceptive failure, switching, and discontinuation: an analysis of DHS contraceptive histories. Demographic and Health Surveys (DHS) Analytical Reports No. 6, Calverton, MD: Macro International Inc.
6. Davies R.B., Elias P. and Penn R. (1992) The relationship between a husband's unemployment and his wife's participation in the labour-force. Oxford Bulletin of Economics and Statistics 54, 145-171.
7. Enberg J., Gottschalk P. and Wolf D. (1990) A random-effects logit model of work-welfare transitions. Journal of Econometrics 43, 63-75.
8. Goldstein H. (2003) Multilevel statistical models, 3rd edition. London: Arnold.
9. Goldstein H., Pan H. and Bynner J. (2004) A flexible procedure for analysing longitudinal event histories using a multilevel model. Understanding Statistics 3, 85-99.
10. Guo G. and Rodríguez G. (1992) Estimating a multivariate proportional hazards model for clustered data using the EM algorithm, with an application to child survival in Guatemala. Journal of the American Statistical Association 87, 969-976.
11. Hill D.H., Axinn W.G. and Thornton A. (1993) Competing hazards with shared unmeasured risk factors. Sociological Methodology 23, 245-277.
12. Langford I.H. and Lewis T. (1998) Outliers in multilevel data (with discussion). Journal of the Royal Statistical Society, Series A 161, 121-160.
13. Lindeboom M. and Kerkhofs M. (2000) Multistate models for clustered duration data - an application to workplace effects on individual sickness absenteeism. The Review of Economics and Statistics 82, 668-684.
14. Rasbash J., Steele F. and Browne W.J. (2003) A user's guide to MLwiN, version 2.0. London: Institute of Education.
15. SAS Institute Inc. (1999) SAS/STAT® User's guide, version 8. Cary, NC: SAS Institute Inc.
16. Sastry N. (1997) A nested frailty model for survival data, with an application to the study of child survival in Northeast Brazil. Journal of the American Statistical Association 92, 426-435.
17. Spiegelhalter D.J., Thomas A. and Best N.G. (2000) WinBUGS version 1.3 user manual. Cambridge: Medical Research Council Biostatistics Unit.
18. Steele F. and Curtis S.L. (2003) Appropriate methods for analysing the effect of method choice on contraceptive discontinuation. Demography 40, 1-22.
19. Steele F., Diamond I. and Amin S. (1996 a) Immunization uptake in rural Bangladesh: a multilevel analysis. Journal of the Royal Statistical Society, Series A 159, 289-299.
20. Steele F., Diamond I. and Wang D. (1996 b) The determinants of the duration of contraceptive use in China: a multilevel multinomial discrete hazards modelling approach. Demography 33, 12-33.