Standardized risk and description of results from multivariable modeling of a binary response

Biometrical Journal

Volumn 48, Issue 1, 2006, Pages 54-66

  Kim, Bong Rae ^a   Carter, Randy L ^b   Rao, P Y ^a   Ariet, Mario ^c   Resnick, Michael B ^c  

^a University of Florida ^*  (United States)

^b UNIVERSITY AT BUFFALO   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

Academic problems; Adjusted odds ratios; Binary response models; Lead poisoning; Logistic regression; Post hoc comparisons; Standardized attributable risk; Standardized proportions; Standardized risk; Standardized risk difference

Indexed keywords

REGRESSION ANALYSIS;

ACADEMIC PROBLEM; ADJUSTED ODD RATIO; ATTRIBUTABLE RISKS; BINARY RESPONSE MODELS; LOGISTICS REGRESSIONS; ODD RATIOS; POST HOC COMPARISONS; RISK DIFFERENCE; STANDARDIZED ATTRIBUTABLE RISK; STANDARDIZED PROPORTION; STANDARDIZED RISK; STANDARDIZED RISK DIFFERENCE;

RISK ASSESSMENT;

EID: 33644671745     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.200510201     Document Type: Article

References (25)

1. Bender, R. (1999). Quantitative risk assessment in epidemiological studies investigating threshold effects. Biometrical Journal 41, 305-319.
2. Bhopal, R. (2002). Concepts of Epidemiology. Oxford, New York.
3. Bura, E. and Gastwirth, J. L. (2001). The binary regression quantile plot: assessing the importance of predictors in binary regression visually. Biometrical Journal 43, 5-21.
4. Carter, R. L., Mardon, R., Resnick, M. B., Ariet, M., Roth, J. and Feaver, E. A. (2002). The effect of lead poisoning on preschool mental development, readiness to start school, and educational disabilities. MCHERDC Report. University of Florida.
5. Casella, G. and Berger, R. L. (2002). Statistical Inference. Duxbury Press, California.
6. Cox, D. R. and Snell, E. J. (1989). Analysis of Binary Data. Chapman & Hall, New York.
7. Efron, B. and Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman & Hall, New York.
8. Hosmer, D. W. and Lemeshow, S. (1989). Applied Logistic Regression. John Wiley & Sons, New York.
9. Flanders, W. D. and Rhodes, P. H. (1987). Large sample confidence intervals for regression standardized risk, risk ratios, and risk differences. Journal of Chronic Diseases 40, 697-704.
10. Fletcher, R. H., Fletcher, S. W. and Wagner, E. H. (1982). Clinical Epidemiology-the Essentials. Williams & Wilkins, Baltimore.
11. Freeman, D. H. Jr. (1987). Applied Categorical Data Analysis. Marcel Dekker, Inc., New York.
12. Gilks, W. R. and Wild, P. (1992). Adaptive rejection sampling for Gibbs sampling. Applied Statistics 41, 337-348.
13. Gould, W., Pitblado, J. and Sribney, W. (2003). Maximum Likelihood Estimation with STATA. STATA Press.
14. Greenland, S. (1991). Estimating standardized parameters from generalized linear models. Statistics in Medicine 10, 1069-1074.
15. Greenland, S. and Holland, P. (1991). Estimating standardized risk differences from odds ratios. Biometrics 47, 319-322.
16. Lilienfeld, D. E. (1979). The greening of epidemiology: sanitary physicians and the London epidemiological society. Bulletin of the History of Medicine 106, 445-459.
17. McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models. Chapman & Hall/CRC, New York.
18. Mooney, C. Z. and Duval, R. D. (1993). Bootstrapping: A Nonparametric Approach to Statistical Inference. SAGE Publications, Inc., Newbury Park.
19. Neison, F. G. P. (1844). On a method recently proposed for conducting inquiries into the comparative sanitary conditions of various districts. London Journal of the Royal Statistical Society 7, 40-68.
20. Rothman, K. J. (1998). Modern Epidemiology. Lippincott-Raven, Philadelphia.
21. SAS Institute (2000). SAS Macro Language: Reference Version 8. 0. SAS Institute Inc., Cary NC.
22. Spiegelhalter, D., Thomas, A., Best, N. and Lunn, D. (2003). WinBugs Version 1.4 User Manual. Cambridge, UK.
23. Stokes, M. E., Davis, C. S. and Koch, G. G. (1995). Categorical Data Analysis Using the SAS System. SAS Institute Inc., Cary NC.
24. Uter, W. and Pfahlberg, A. (1999). The concept of attributable risk in epidemiological practice. Biometrical Journal 41, 985-993.
25. Zuur, G., Garthwaite, P. H. and Fryer, R. J. (2002). Practical use of MCMC method: lessons from a case study. Biometrical Journal 44, 433-45 5.