Work Group III: Methodologic Issues in Research on the Food and Physical Activity Environments. Addressing Data Complexity

American Journal of Preventive Medicine

Volumn 36, Issue 4 SUPPL., 2009, Pages

  Oakes, J Michael ^a   Mâsse, Louise C ^b   Messer, Lynne C ^c  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA INTERPRETATION, STATISTICAL; ENVIRONMENT DESIGN; FOOD HABITS; HUMANS; MODELS, STATISTICAL; MOTOR ACTIVITY; RESEARCH DESIGN;

EID: 61649086552     PISSN: 07493797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amepre.2009.01.015     Document Type: Review

References (32)

1. McKinnon R.A., Reedy J., Handy S.L., and Rodgers A.B. Measuring the food and physical activity environments: shaping the research agenda. Am J Prev Med 36 4S (2009) S81-S85
2. Leamer E. Specification searches (1978), Wiley, New York
3. Manski C.F. Identification problems in the social sciences (1995), Harvard University Press, Cambridge MA
4. Robins J.M., and Greenland S. The role of model selection in causal inference from no experimental data. Am J Epidemiol 123 (1986) 392-402
5. Auchincloss A.H., and Roux A.V.D. A new tool for epidemiology: the usefulness of dynamic-agent models in understanding place effects on health. Am J Epidemiol 168 (2008) 1-8
6. Oakes J.M. The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. Soc Sci Med 58 (2004) 1929-1952
7. Cummins S., Curtis S., Roux A.V.D., and Macintyre S. Understanding and representing 'place' in health research: a relational approach. Soc Sci Med 65 (2007) 1825-1838
8. Cochran W.G. The planning of observational studies of human populations. J R Stat Soc [Ser A] 128 (1965) 243-265
9. Rosenbaum P. Observational studies (2002), Springer Verlag, New York
10. Durlauf S.N. Neighborhood effects. In: Henderson J.V., and Thisse J.-F. (Eds). Handbook of regional and urban economics (2004), North Holland, Amsterdam 2173-2242
11. Berk R. Regression analysis. A constructive critique (2004), Sage Publications, Thousand Oaks CA
12. Freedman D.A. On types of scientific inquiry: nine success stories in medical research. In: Box-Steffensmeier J.M., Brady H.E., and Collier D. (Eds). The Oxford handbook of political methodology (2008), Oxford, New York 300-318
13. Freedman D. Statistical models and shoe leather (with discussion). In: Marsden P.V. (Ed). Sociological methodology (1991), Jossey-Banks, San Francisco 291-358
14. Leamer E.E. Let's take the con out of econometrics. Am Econ Rev 73 (1983) 31-43
15. Oakes J.M. Commentary: advancing neighbourhood-effects research-selection, inferential support, and structural confounding. Int J Epidemiol 35 (2006) 643-647
16. Oakes J.M., Forsyth A., and Schmitz K.H. The effects of neighborhood density and street connectivity on walking behavior: the Twin Cities Walking Study. Epidemiol Perspect Innov 4 (2007) 16
17. Cole S.R., and Hernan M.A. Constructing inverse probability weights for marginal structural models. Am J Epidemiol 168 (2008) 656-664
18. Greenland S. Summarization, smoothing, and inference in epidemiologic analysis. Scand J Soc Med 21 (1993) 227-232
19. Messer L.C. Invited commentary: beyond the metrics for measuring neighborhood effects. Am J Epidemiol 165 (2007) 868-871 872-3
20. Raudenbush S.W., and Sampson R.J. Ecometrics: toward a science of assessing ecological settings, with application to the systematic social observation of neighborhoods. In: Sobel M.E., and Becker M.P. (Eds). Sociological methodology (1999), Blackwell, Boston MA 1-41
21. Carroll R.J., Ruppert D., Stefanski L.A., and Crainiceanu C.M. Measurement error in nonlinear models: a modern perspective. 2nd ed. (2006), Chapman & Hall/CRC, New York
22. Gustafson P., and Greenland S. The performance of random coefficient regression in accounting for residual confounding. Biometrics 62 (2006) 760-768
23. Bound J., Brown C., and Mathiowetz N. Measurement error in survey data. In: Heckman J.J., and Leamer E. (Eds). Handbook of econometrics, Vol 5 (2001), North-Holland, New York 3705-3843
24. Oakes J.M. Invited commentary: rescuing Robinson Crusoe. Am J Epidemiol 168 (2008) 9-12
25. Box G.E.P. Science and statistics. J Am Stat Assoc 71 (1976) 791-799
26. Box G.E.P., and Draper N.R. Empirical model-building and response surfaces (1987), Wiley, New York
27. Robins J.M. Data, design, and background knowledge in etiologic inference. Epidemiology 12 (2001) 313-320
28. Glymour M.M. Natural experiments and instrumental variable analyses in social epidemiology. In: Oakes J.M., and Kaufman J.S. (Eds). Methods in social epidemiology (2006), Jossey-Bass/Wiley, San Francisco 423-445
29. Austin P.C., Mamdani M.M., Juurlink D.N., and Hux J.E. Testing multiple statistical hypotheses resulted in spurious associations: a study of astrological signs and health. J Clin Epidemiol 59 (2006) 964-969
30. Browne M.W. Cross-validation methods. J Math Psychol 44 (2000) 108-132
31. Picard R.R., and K B. Data splitting. American Statistician 44 (1990) 140-147
32. Cole S.R., Chu H., and Greenland S. Multiple-imputation for measurement-error correction. Int J Epidemiol 35 (2006) 1074-1081