Combining information from two surveys to estimate county-level prevalence rates of cancer risk factors and screening

Journal of the American Statistical Association

Volumn 102, Issue 478, 2007, Pages 474-486

  Raghunathan, Trivellore E ^a,b   Xie, Dawei ^c   Schenker, Nathaniel ^d   Van Parsons, L ^d   Davis, William W ^e   Dodd, Kevin W ^e   Feuer, Eric J ^e  

^a Center for the History and Ethics of Public Health   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d NATIONAL CENTER FOR HEALTH STATISTICS   (United States)

^e NATIONAL CANCER INSTITUTE   (United States)

Author keywords

BRFSS; Cancer screening; Complex sample survey; Gibbs sampling; Hierarchical model; Mammography; NHIS; Pap smear; Simulation; Smoking

Indexed keywords

EID: 34250775947     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/016214506000001293     Document Type: Article

References (39)

1. Anderson, J. E., Nelson, D. E., and Wilson, R. W. (1998), "Telephone Coverage and Measurement of Health Risk Indicators Data From the National Health Interview Survey," American Journal of Public Health, 88, 1392-1395.
2. Anderson, T. W. (1984), An Introduction to Multivariate Statistical Analysis, New York: Wiley.
3. Anscombe, F. J. (1948), "The Transformation of Poisson, Binomial and Negative-Binomial Data," Biometrika, 35, 246-254.
4. Aptech Systems (2003), "Gauss: Advanced Mathematical and Statistical Systems," Version 5, Black Diamond, Washington.
5. Binder, D. A. (1983), "On the Variances of Asymptotically Normal Estimators From Complex Surveys." International Statistical Review, 51, 279-292.
6. Botman, S. L., Moore, T. F., Moriarty, C. L., and Parsons, V. L. (2000), "Design and Estimation for the National Health Interview Survey, 1995-2004. National Center for Health Statistics," Vital and Health Statistics, 2 (130), 1-41.
7. Breen, N., Wagener, D. K., Brown, M. L., Davis, W. W., and Ballard-Barbash, R. M. (2001), "Progress in Cancer Screening Over a Decade: Results of Cancer Screening From the 1987, 1992 and 1998 National Health Interview Surveys," Journal of the National Cancer Institute, 93, 23-32.
8. Centers for Disease Control and Prevention (2001), "2000 Summary Data Quality Report," available at http://www.cdc.gov/brfss/ technical_infodata/quality.htm.
9. Datta, G. S., Fay, R. E., and Ghosh, M. (1991), "Hierarchical and Empirical Bayes Multivariate Analysis in Small Area Estimation," in Proceedings of the Bureau of the Census 1991 Annual Research Conference, Washington, DC: U.S. Bureau of the Census, pp. 63-79.
10. Dempster, A. P., and Raghunathan, T. E. (1985), "Using a Covariate for Small Area Estimation: A Common Sense Bayesian Approach," in Small Area Statistics: An International Symposium, eds. Platek et al., New York: Wiley, pp. 77-90.
11. Efron, B. F., and Morris, C. N. (1975), "Data Analysis Using Stein's Estimator and Its Generalizations," Journal of the American Statistical Association, 70, 311-319.
12. Elliott, M. R., and Davis, W. W. (2005), "Obtaining Cancer Risk Factor Prevalence Estimates in Small Areas: Combining Data From Two Surveys," Journal of the Royal Statistical Society, Ser. C, 59, 595-609.
13. Farrell, P. J. (2000), "Bayesian Inference for Small Area Proportions," Sankhyā, Ser. B, 62, 402-416.
14. Fay, R. E., and Herriot, R. A. (1979), "Estimates of Income for Small Places: An Application of James-Stein Procedures to Census Data," Journal of the American Statistical Association, 74, 269-277.
15. Freeman, M. F., and Tukey, J. W. (1950), "Transformations Related to the Angular and the Square Root," The Annals of Mathematical Statistics, 21, 607-611.
16. Gelfand, A. E., and Smith, A. M. F. (1990), "Sampling Based Approaches to Calculating Marginal Densities," Journal of the American Statistical Association, 85, 398-409.
17. Gelman, A., and Rubin, D. B. (1992), "Inference From Iterative Simulation Using Multiple Sequences," Statistical Science, 7, 457-472.
18. Ghosh, M., Nangia, N., and Kim, D. (1996), "Estimation of Median Income of Four-Person Families: A Bayesian Time Series Approach," Journal of the American Statistical Association, 91, 1423-1431.
19. Ghosh, M., Natarajan, K., Stroud, T. W. F., and Carlin, B. P. (1998), "Generalized Linear Models for Small Area Estimation," Journal of the American Statistical Association, 93, 273-282.
20. Goyder, J., Warriner, K., and Miller, S. (2002), "Evaluating Socio-Economic Status (SES) Bias in Survey Non-Response," Journal of Official Statistics, 18, 1-12.
21. Iachan, R., Schulman, J., Collins, S., Powell-Griner, E., and Nelson, D. E. (1999), "Methods for Combining State BRFSS Survey Data for National Estimation," in Proceedings of the Survey Research Methods Section, American Statistical Association, pp. 711-714.
22. Kish, L. (1995), "Methods for Design Effects," Journal of Official Statistics, 11, 55-77.
23. Legler, J., Breen, N., Meissner, H., Malec, D., and Coyne, C. (2002), "Predicting Patterns of Mammography Use: A Geographic Perspective on National Needs for Intervention Research," Health Services Research, 37, 929-947.
24. Lepkowski, J. M. (1988), "Telephone Sampling Methods in the United States," in Telephone Survey Methodology, eds. R. M. Groves et al., New York: Wiley, pp. 73-98.
25. Lindley, D. V., and Smith, A. F. M. (1972), "Bayes Estimates for Linear Models," Journal of the Royal Statistical Society, Ser. B, 34, 1-41.
26. Mosteller, F. M., and Youtz, C. (1961), "Tables of the Freeman-Tukey Transformation for the Binomial and Poisson Distributions," Biometrika, 48, 433-440.
27. National Center for Health Statistics (2000a), "1997 National Health Interview Survey (NHIS) Public Use Data Release: NHIS Survey Description," Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, Hyattsville, MD.
28. _ (2000b), "1998 National Health Interview Survey (NHIS) Public Use Data Release: NHIS Survey Description," Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, Hyattsville, MD.
29. _ (2002a), "1999 National Health Interview Survey (NHIS) Public Use Data Release: NHIS Survey Description," Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, Hyattsville, MD.
30. _ (2002b), "2000 National Health Interview Survey (NHIS) Public Use Data Release: NHIS Survey Description," Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, Hyattsville, MD.
31. Nelson, D. E., Powell, E., Town, M. S., and Kovar, M. G. (2003), "A Comparison of National Estimates From the National Health Interview Survey and the Behavioral Risk Factor Surveillance System," American Journal of Public Health, 93, 1335-1341.
32. Pickle, L. W., Feuer, E. J., and Edwards, B. (2001), "Predicting Cancer Incidence in Non-SEER Counties," in Proceedings of the Biometrics Section, American Statistical Association, pp. 45-52.
33. Rao, J. N. K. (1999), "Some Recent Advances in Model-Based Small Area Estimation," Survey Methodology, 25, 175-186.
34. _ (2003), Small Area Estimation, New York: Wiley.
35. SAS Institute (2000), "PROC NLMIXED," Online SAS Manual, Cary, NC: SAS.
36. Swan, J., Breen, N., Coates, R. J., Rimer, B. K., and Lee, N. C. (2003), "Progress in Cancer Screening Practices in the United States: Results From the 2000 National Health Interview Survey," Cancer, 97, 1528-1539.
37. Tierney, L. (1991), "Exploring Posterior Distributions Using Markov Chains," Computing Science and Statistics: Proceedings of the 23rd Symposium on the Interface, ed. E. M. Keramidas, Fairfax Station, VA: Interface Foundation of North America, pp. 563-570.
38. Waksberg, J. (1978), "Sampling Methods for Random Digit Dialing," Journal of the American Statistical Association, 73, 40-46.
39. Xie, D. (2004), "Combining Information From Multiple Surveys for Small Area Estimation," unpublished doctoral thesis, University of Michigan, Ann Arbor, Dept. of Biostatistics.