Predictive margins with survey data

Biometrics

Volumn 55, Issue 2, 1999, Pages 652-659

  Graubard, Barry I ^a   Korn, Edward L ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Adjusted mean; Adjusted treatment mean; Analysis of covariance; Logistic regression; Prediction; Sample weights; Survey methods; Survival analysis

Indexed keywords

ADJUSTED MEAN; ADJUSTED TREATMENT MEAN; ANALYSIS OF COVARIANCES; COVARIATES; LOGISTICS REGRESSIONS; SAMPLES WEIGHT; SURVEY DATA; SURVEY METHODS; SURVIVAL ANALYSIS; TREATMENT GROUP;

REGRESSION ANALYSIS;

ARTICLE; CONTROLLED STUDY; COVARIANCE; FEMALE; HEALTH INSURANCE; HEALTH SURVEY; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; METHODOLOGY; PREDICTION; REGRESSION ANALYSIS; STATISTICAL MODEL; SURVIVAL RATE;

EID: 0032968577     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.1999.00652.x     Document Type: Article

References (17)

1. American Cancer Society. (1993). Guidelines for the cancer-related checkup. Report 80-1MM-Rev.2/93-No.2070-LE. American Cancer Society, Atlanta.
2. Benson, V. and Marano, M. A. (1994). Current estimates from the National Health Interview Survey, National Center for Health Statistics. Vital Health Statistics 10, 189.
3. Carroll, R. J. and Ruppert, D. (1981). On prediction and the power transformation family. Biometrika 68, 609-615.
4. Chang, I.-M., Gelman, R., and Pagano, M. (1982). Corrected group prognostic curves and summary statistics. Journal of Chronic Diseases 35, 669-674.
5. Ingram, D. D. and Makuc, D. M. (1994). Statistical issues in analyzing the NHANES I Epidemiologic Followup Study, National Center for Health Statistics. Vital Health Statistics 2, 121.
6. Kafadar, K. and Tukey, J. W. (1993). U.S. Cancer death rates: A simple adjustment for urbanization. International Statistical Review 61, 257-281.
7. Kalton, G. (1968). Standardization: A technique to control for extraneous variables. Applied Statistics 17, 118-136.
8. Korn, E. L. and Graubard, B. I. (1995). Analysis of large health surveys: Accounting for the sampling design. Journal of the Royal Statistical Society, Series A 158, 263-295.
9. Korn, E. L., Graubard, B. I., and Midthune, D. (1997). Time-to-event analysis of longitudinal followup of a survey: Choice of the time-scale. American Journal of Epidemiology 145, 72-80.
10. Lane, P. W. and Neider, J. A. (1982). Analysis of covariance and standardization as instances of prediction. Biometrics 38, 613-621.
11. Lee, J. (1981). Covariance adjustment of rates based on the multiple logistic regression model. Journal of Chronic Diseases 34, 415-426.
12. Makuch, R. W. (1982). Adjusted survival curve estimation using covariates. Journal of Chronic Diseases 35, 437-443.
13. Neison, F. G. P. (1844). On a method recently proposed for conducting inquiries into the comparative sanatory condition of various districts, with illustrations, derived from numerous places in Great Britain at the period of the last census. Journal of the Royal Statistical Society of London 7, 40-68.
14. Neter, J., Wasserman, W., and Kutner, M. H. (1990). Applied Linear Models, 3rd edition. Homewood, IL: Irwin.
15. Potosky, A. L., Breen, N., Graubard, B. I., and Parsons, P. E. (1998). The association between health care coverage and the use of cancer screening tests. Medical Care 36, 257-270.
16. Shopland, D. R., Hartman, A. M., Gibson, J. T., Mueller, M. D., Kessler, L. G., and Lynn, W. R. (1996). Cigarette smoking among U.S. adults by state and region: Estimates from the Current Population Survey. Journal of the National Cancer Institute 88, 1748-1758.
17. Snedecor, G. W. (1937). Statistical Methods, Applied to Experiments in Agriculture and Biology. Ames, IA: Collegiate Press.