Simulation study of confounder-selection strategies

American Journal of Epidemiology

Volumn 138, Issue 11, 1993, Pages 923-936

  Maldonado, George ^a   Greenland, Sander ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Confounding factors (epidemiology); Epidemiologic methods; Logistic models; Models, statistical; Regression analysis; Relative risk

Indexed keywords

EPIDEMIOLOGICAL DATA; REGRESSION ANALYSIS; REVIEW; STATISTICAL MODEL; VARIANCE;

BIAS (EPIDEMIOLOGY); COHORT STUDIES; COMPARATIVE STUDY; CONFIDENCE INTERVALS; CONFOUNDING FACTORS (EPIDEMIOLOGY); EPIDEMIOLOGIC METHODS; HUMAN; LOGISTIC MODELS; ODDS RATIO; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, P.H.S.;

EID: 0027142483     PISSN: 00029262     EISSN: None     Source Type: Journal    
DOI: 10.1093/oxfordjournals.aje.a116813     Document Type: Article

References (33)

1. Kleinbaum DG, Kupper LL, Morgenstern H. Epidemiologic research: principles and quantitative methods. Belmont, CA: Lifetime Learning Publications, 1982.
2. Greenland S. Modelling and variable selection in epidemiologic analysis. Am J Public Health 1989;79:340-9.
3. Robins JM, Greenland S. The role of model selection in causal inference from nonexperimental data. Am J Epidemiol 1986;123:392-402.
4. Dales LG, Ury HK. An improper use of statistical significance testing in studying covariables. Int J Epidemiol 1978;4:373-5.
5. Mickey RM, Greenland S. The impact of con- founder selection criteria on effect estimation. Am J Epidemiol 1989;129:125-37.
6. Whittemore AS. Collapsibility of multidimensional contingency tables. J R Stat Soc [B] 1978;40:328-40.
7. Greenland S. Comment: cautions in the use ofpreliminary test estimators. Stat Med 1989;8:669-73.
8. Hauck WW, Anderson SA. A proposal for interpreting and reporting negative studies. Stat Med 1986;5:203-9.
9. Hurvich CM, Tsai CL. The impact of model selection on inference in linear regression. Am Stat 1990;44:214-7.
10. Regal RR, Hook EB. The effects of model selection on confidence intervals for the size of a closed population. Stat Med 1991;10:717-21.
11. Greenland S, Neutra RR. Control of confounding in the assessment of medical technology. Int J Epidemiol 1980;9:361-7.
12. Breslow NE, Day NE. Statistical methods in cancer research. Vol 2. The design and analysis of cohort studies. Lyon: LARC, 1987.
13. Checkoway H, Pearce NE, Crawford-Brown DJ. Research methods in occupational epidemiology. New York: Oxford University Press, 1989.
14. Fleiss JL. Significance tests have a role in epidemiologic research: reaction to A. M. Walker. Am J Public Health 1986;76:559-60.
15. McCullagh P, Nelder JA. Generalized linear models. London: Chapman and Hall, 1989.
16. Thisted RA. Elements of statistical computing. New York: Chapman and Hall, 1988.
17. Maldonado G, Greenland S. A comparison of the performance of model-based confidence intervals when the correct model form is unknown. Coverage of asymptotic means. Epidemiology 1994 (in press).
18. Greenland S, Mickey RM. Closed-form anddually- consistent methods for inference on collapsibility in 2 X 2 X K and 2 X J X K tables. Appl Stat 1988;37:335-43.
19. Kalish LA. Reducing mean squared error in the analysis of pair-matched case-control studies. Biometrics 1990;46:493-9.
20. Greenland S. Reducing mean squared error in the analysis of stratified epidemiologic studies. Biometrics 1991;47:773-6.
21. Robins JM. The statistical foundations of confounding in epidemiology. Technical report no. 2. Boston: Occupational Health Program, Harvard University, 1983.
22. Weinberg CR. On pooling across strata when frequency matching has been followed in a cohort study. Biometrics 1985;41:117-27.
23. Greenland S, Robins JM. Estimation of a common effect parameter from sparse follow-up data. Biometrics 1985;41:55-68.
24. Gail MH. Adjusting for covariates that have the same distribution in exposed and unexposed cohorts. In: Moolgavkar SH, Prentice RL, ed. Modem statistical methods in chronic disease epidemiology. New York: Wiley, 1986:3-18.
25. Breslow NE, Day NE. Statistical methods in cancer research. Vol 1. The analysis of case-control studies. Lyon: IARC, 1980.
26. Schlesselman JJ. Case-control studies: design, conduct and analysis. New York: Oxford University Press, 1982.
27. Rothman KJ. Modem epidemiology. Boston: Little, Brown and Company, 1986.
28. Miettinen OS. Stratification by a multivariate confounder score. Am J Epidemiol 1976; 104:609-20.
29. Greenland S. Methods for epidemiologic analyses of multiple exposures: a review and comparative study of maximum-likelihood, preliminary testing, and empirical-Bayes regression. Stat Med 1993;12:717-36.
30. Wichmann BA, Hill ID. Algorithm AS 183-an efficient and portable pseudo-random number generator. In: Griffiths P, Hill ID, ed. Applied statistics algorithms. Chichester: Ellis Horwood Ltd, 1985:238-42.
31. Press WH, Flannery BP, Teukolsky SA, et al. Numerical recipes. The art of scientific computing. Cambridge: Cambridge University Press, 1986.
32. Fienberg SE. The analysis of cross-classified categorical data. Cambridge: The MIT Press, 1977.
33. Devroye L. Non-uniform random variate generation. New York: Springer-Verlag, 1986.