Case-cohort design in practice -experiences from the MORGAM Project
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- 作者：Sangita Kulathinal (1)
Juha Karvanen (2)
Olli Saarela (2)
Kari Kuulasmaa (2) - 刊名：Epidemiologic Perspectives & Innovations
- 出版年：2007
- 出版时间：December 2007
- 年：2007
- 卷：4
- 期：1
- 全文大小：298KB
- 参考文献：1. Tunstall-Pedoe H, (Ed): / MONICA Monograph and Multimedia Sourcebook Geneva: WHO 2003.
2. Evans A, Salomaa V, Kulathinal S, Asplund K, Cambien F, Ferrario M, Perola M, Peltonen L, Shields D, Tunstall-Pedoe H, K Kuulasmaa for The MORGAM Project: MORGAM (an international pooling of cardiovascular cohorts). / International Journal of Epidemiology 2005, 34:21-7. CrossRef
3. Prentice RL: A case-cohort design for epidemiologic cohort studies and disease prevention trials. / Biometrika 1986, 73:1-1. CrossRef
4. Kupper LL, McMichael AJ, Spirtas R: A Hybrid Epidemiologic Study Design Useful in Estimating Relative Risk. / Journal of the American Statistical Association 1975, 70:524-28. CrossRef
5. Miettinen O: Estimability and estimation in case-referent studies. / American Journal of Epidemiology 1976, 103:226-35.
6. Team RDC: [http://www.R-project.org] / R: A language and environment for statistical computing Vienna, Austria: R Foundation for Statistical Computing 2006.
7. Inc SI: SAS/STAT User's Guide, Version 8. 2000.
8. Borgan ?, Langholz B, Samuelsen SO, Goldstein L, Pogoda J: Exposure stratified case-cohort designs. / Lifetime Data Analysis 2000, 6:39-8. CrossRef
9. Kulich M, Lin DY: Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies. / Journal of the American Statistical Association 2004,99(467):832-44. CrossRef
10. Samuelsen SO, Nestad H, Skrondahl A: Stratified case-cohort analysis of general cohort sampling designs. / Scandinavian Journal of Statistics 2007, 34:103-19. CrossRef
11. Kim S, Gruttola VD: Strategies for Cohort Sampling Under the Cox Proportional Hazards Model, Application to an AIDS Clinical Trial. / Lifetime Data Analysis 1999, 5:149-72. CrossRef
12. Cai J, Zeng D: Sample size/power calculation for case-cohort studies. / Biometrics 2004, 60:1015-024. CrossRef
13. Kim MY, Xue X, Du Y: Approaches for calculating power for case-cohort studies. / Biometrics 2006, 62:929-33. CrossRef
14. Cox DR: Regression models and life tables (with discussion). / Journal of the Royal Statistical Society, Series B 1972, 74:187-00.
15. Self SG, Prentice RL: Asymptotic Distribution theory and efficiency results for case-cohort studies. / The Annals of Statistics 1988, 15:54-1.
16. Kalbfleisch JD, Lawless JF: Likelihood analysis of multistate models for disease incidence and mortality. / Statistics in Medicine 1988, 7:149-60. CrossRef
17. Barlow WE: Robust variance estimation for the case-cohort design. / Biometrics 1994, 50:1064-072. CrossRef
18. Barlow WE, Ichikawa L, Rosner D, Izumi S: Analysis of case-cohort designs. / Journal of Clinical Epidemiology 1999, 12:1165-172. CrossRef
19. Petersen L, S?rensen TIA, Andersen PK: Comparison of case-cohort estimators based on data on premature death of adult adoptees. / Statistics in Medicine 2003, 22:3795-803. CrossRef
20. Onland-Moret NC, van der A DL, van der Schouw YT, Buschers W, Elias SG, van Gils CH, Koerselman J, Roest M, Grobbee DE, Peeters PHM: Analysis of case-cohort data: a comparison of different methods. / Journal of Clinical Epidemiology 2007, 60:350-55. CrossRef
21. Wacholder S: Practical considerations in choosing between the case-cohort and nested case-control designs. / Epidemiology 1991, 2:155-58. CrossRef
22. Lin DY, Ying Z: Cox regression with incomplete covariate measurements. / Journal of the American Statistical Association 1993, 88:1341-349. CrossRef
23. Lin DY, Wei LJ: The robust inference for the Cox proportional hazards model. / Journal of the American Statistical Association 1989, 84:1074-078. CrossRef
24. Therneau TM, Li H: Computing the Cox model for case cohort designs. / Lifetime Data Analysis 1999, 5:99-12. CrossRef
25. Langholz B, Jiao J: Computational methods for case-cohort studies. / Computational Statistics & Data Analysis 2007, 51:3737-748. CrossRef
26. Scheike TH, Martinussen T: Maximum likelihood estimation for Cox's regression model under case-cohort sampling. / Scandinavian Journal of Statistics 2004, 31:283-93. CrossRef
27. Kulathinal S, Arjas E: Bayesian inference from case-cohort data with multiple end-points. / Scandinavian Journal of Statistics 2006, 33:25-6. CrossRef
28. Saarela O, Kulathinal S: Conditional likelihood inference in a case-cohort design: An application to haplotype analysis. [http://www.bepress.com/ijb/vol3/iss1/1] / The International Journal of Biostatistics 2007., 3:
29. Langholz B, Thomas DC: Nested case-control and case-cohort methods of sampling from a cohort: a critical comparison. / American Journal of Epidemiology 1990, 131:169-76.
30. Langholz B, Duncan DC: Efficiency of cohort sampling designs: some suprising results. / Biometrics 1991, 47:1563-571. CrossRef
31. Zhao LP, Lipsitz S: Designs and analysis of two-stage studies. / Statistics in Medicine 1992, 11:769-82. CrossRef
32. Chen K, Lo S: Case-cohort and case-control analysis with Cox's model. / Biometrika 1999, 85:755-54. CrossRef
33. Chen K: Generalised case-cohort sampling. / Journal of the Royal Statistical Society, Series B 2001, 63:823-38. CrossRef
34. Paszata LF, Vallisb KA, Benka VMA, Groomec PA, Mackillopc WJ, Wielgosz A: A population-based case-cohort study of the risk of myocardial infarction following radiation therapy for breast cancer. / Radiotherapy and Oncology 2007,82(3):294-00. CrossRef
35. Friesema IHM, Zwietering PJ, Veenstra MY, Knottnerus JA, Garretsen HFL, Lemmens PHHM: Alcohol intake and cardiovascular disease and mortality: the role of pre-existing disease. / Journal of Epidemiology and Community Health 2007, 61:441-46. CrossRef
36. Bernatsky S, Boivin JF, Joseph L, Gordon C, Urowitz M, Gladman D, Ginzler E, Fortin P, Bae SC, Barr S, Isenberg D, Rahman A, Petri M, Alarcón G, Aranow C, Dooley MA, Rajan R, Sénécal JL, Zummer M, Manzi S, Edworthy S, Ramsey-Goldman R, Clarke A: The relationship between cancer and medication exposures in systemic lupus erythematosus: a case-cohort study. / Annals of the rheumatic diseases 2007. doi:101136/ard.2006.069039
37. Ray RM, Gao DL, Li W, Wernli KJ, Astrakianakis G, Seixas NS, Camp JE, Fitzgibbons ED, Feng Z, Thomas DB, Checkoway H: Occupational exposures and breast cancer among women textile workers in Shanghai. / Epidemiology 2007,8(3):383-92. CrossRef
38. Project M: MORGAM Manual. [http://www.ktl.fi/publications/morgam/manual/contents.htm]
39. Ury HK: Efficiency of case-control studies with multiple controls per case: continuos and dichotomous data. / Biometrics 1975, 31:643-49. CrossRef
40. Hanurav TV: Optimum utilization of auxiliary information: π ps sampling of two units from a stratum. / Journal of the Royal Statistical Society, Series B 1967, 29:374-91.
41. Vijayan K: An exact π ps sampling scheme: generalization of a method of Hanurav. / Journal of the Royal Statistical Society, Series B 1968, 30:556-66.
42. Kulathinal S, Niemel? M, Kuulasmaa K: contributors from Participating Centres for the MORGAM Project Description of MORGAM cohorts. [http://www.ktl.fi/publications/morgam/cohorts/index.html]
43. Horvitz DG, Thompson DJ: A generalization of sampling without replacement from a finite universe. / Journal of the American Statistical Association 1952, 47:663-85. CrossRef
44. S?rndal CE, Swensson B, Wretman J: / Model assisted survey sampling New York: Springer-Verlag 1992.
45. S?rensen P, Anderson PK: Competing risks analysis of the case-cohort design. / Biometrika 2000, 87:49-9. CrossRef - 作者单位：Sangita Kulathinal (1)
Juha Karvanen (2)
Olli Saarela (2)
Kari Kuulasmaa (2)
1. Indic Society for Education and Development, ?, 1, Swami Enterprises Complex. Tigrania road, Tapovan Bridge, Nashik, 422 009, India
2. Department of Health Promotion and Chronic Disease Prevention, National Public Health Institute, Mannerheimintie 166, 00300, Helsinki, Finland
文摘
When carefully planned and analysed, the case-cohort design is a powerful choice for follow-up studies with multiple event types of interest. While the literature is rich with analysis methods for case-cohort data, little is written about the designing of a case-cohort study. Our experiences in designing, coordinating and analysing the MORGAM case-cohort study are potentially useful for other studies with similar characteristics. The motivation for using the case-cohort design in the MORGAM genetic study is discussed and issues relevant to its planning and analysis are studied. We propose solutions for appending the earlier case-cohort selection after an extension of the follow-up period and for achieving maximum overlap between earlier designs and the case-cohort design. Approaches for statistical analysis are studied in a simulation example based on the MORGAM data.