An em composite likelihood approach for Multistage sampling of family data

Statistica Sinica

Volumn 21, Issue 1, 2011, Pages 231-253

  Choi, Y ^a,b   Briollais, L ^b,c  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b MOUNT SINAI HOSPITAL   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

Composite likelihood; EM algorithm; Family data; Missing genotype; Multistage sampling

Indexed keywords

EID: 78650380281     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (24)

1. Andersen, E. W. (2004). Composite likelihood and two-stage estimation in family studies. Biometrics 5, 15-30.
2. Andersen, E. W. (2005). Two-stage estimation in copula models used in family studies. Lifetime Data Analysis 11, 333-350.
3. Antoniou, A. C. and Chevenix-Trench, G. (2010). Common genetic variants and cancer risk in Mendelian cancer syndromes. Curr Opin Genet Dev 20, 299-307.
4. Begg, C. B. (2002). On the use of familial aggregation in population-based case probands for calculating penetrance. J Natl Cancer Inst. 94, 221-6.
5. Binder, D. A. (1992). Fitting Cox's proportional hazards models from survey data. Biometrika 79, 139-147.
6. Boudreau, C. and Lawless, J. F. (2006). Survival analysis based on proportional hazards model and survey data. Canad. J. Statist. 34, 203-216.
7. Choi, Y.-H. and Briollais, L. (2010). A frailty model-based approach to estimating the agedependent penetrance function of a gene mutation using family-based study designs. In JSM Proceedings, Biopharmaceutical Section. American Statistical Association, Alexandria, VA.
8. Choi, Y.-H., Kopciuk, K. A. and Briollais, L. (2008). Estimating disease risk associated with mutated genes in family-based designs. Hum. Hered. 66, 238-251.
9. Choi, Y.-H. and Matthews, D. E. (2005). Accelerated life regression modeling of dependent bivariate time-to-event data. Canad. J. Statist. 33, 449-464.
10. Cox, D. R. (1972). Regression models and life tables (with discussions). J. Roy. Statist. Soc. Ser. B 34, 187-220.
11. Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. Roy. Statist. Soc. Ser. B 39, 1-38.
12. Gao, X. and Song, P. X.-K. (2009). Composite likelihood EM algorithm with applications to multivariate hidden Markov model. COBRA Preprint Series. http://biostats.bepress.com/cobra/ps/art61.
13. John, E. M., Hopper, J. L., Beck, J. C., Knight, J. A., Neuhausen, S. L., Senie, R. T., Ziogas, A., Andrulis, I. L., Anton-Culver, H., Boyd, N., Buys, S. S., Daly, M. B., O'Malley, F. P., Santella, R. M., Southey, M. C., Venne, V. L., Venter, D. J., West, D. W. , Whittemore, A. S., Seminara, D. and Breast Cancer Family Registry. (2004). The breast cancer family registry: an infrastructure for cooperative multinational, interdisciplinary and translational studies of the genetic epidemiology of breast cancer. Breast Cancer Res. 6, R375-89.
14. Kalbfleisch, J. D. and Lawless, J. F. (1988). Likelihood analysis of multi-state models for disease incidence and mortality. Statist. Med. 7, 149-160.
15. Lawless, J. F., Kalbfleisch, J. D. and Wild, C. J. (1999). Semiparametric methods for responseselective and missing data problems in regression. J. Roy. Statist. Soc. Ser. B 61, 413-438.
16. Lin, D. Y. (2000). On fitting Cox's proportional hazards models to survey data. Biometrika 87, 37-47.
17. Lindsay, B. G. (1988). Composite likelihood methods. Contemp. Math. 80, 221-239.
18. Little, R. J. A. and Rubin, D. B. (1987). Statistical Analysis with Missing Data. Wiley, New York.
19. Louis, T. A. (1982). Finding observed information matrix using the EM algorithm. J. Roy. Statist. Soc. Ser. B 44, 226-233.
20. Siegmund, K., Whittemore, A. S. and Thomas, D. C. (1999). Multistage sampling for disease family registries. J. Natl. Cancer Inst. Monogr. 26, 43-8.
21. Varin, C. (2008). On composite marginal likelihoods. Adv. Stat. Anal. 92, 1-28.
22. White, H. (1982). Maximum likelihood estimation of misspecified models. Econometrica 50, 1-25.
23. Whittemore, A. S. and Halpern, J. (1997). Multi-stage sampling designs in genetic epidemiology. Statist. Medicine 16, 153-167.
24. Wild, C. J. (1991). Fitting prospective regression models to case-control data. Biometrika 78, 705-717.