Invited commentary: Rescuing Robinson Crusoe

American Journal of Epidemiology

Volumn 168, Issue 1, 2008, Pages 9-12

  Oakes, J Michael ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Computer simulation; Environment and public health; Epidemiologic methods; Health behavior; Models, theoretical; Residence characteristics; Systems theory

Indexed keywords

BEHAVIOR; COMPUTER SIMULATION; CONCEPTUAL FRAMEWORK; DYNAMICS; EMPIRICISM; HEALTH STATUS; NOTE; THEORY;

COMPUTER SIMULATION; EPIDEMIOLOGIC METHODS; HEALTH BEHAVIOR; HUMANS; MODELS, THEORETICAL; PUBLIC HEALTH; RESIDENCE CHARACTERISTICS;

EID: 45849152547     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwn117     Document Type: Note

References (30)

1. Auchincloss AH, Diez Roux AV. A new tool for epidemiology: the usefulness of dynamic-agent models in understanding place effects on health. Am J Epidemiol 2008;168:1-8.
2. Epstein JM. Generative social science: studies in agent-based computational modeling. Princeton, NJ: Princeton University Press, 2006.
3. Blume LE, Durlauf SN. Identifying social interactions: a review. In: Oakes JM, Kaufman JS, eds. Methods in social epidemiology. San Francisco, CA: Jossey-Bass/Wiley, 2006:281-309.
4. Homer JB, Hirsch GB. System dynamics modeling for public health: background and opportunities. Am J Public Health 2006;96:452-8.
5. Diez Roux AV. Investigating neighborhood and area effects on health. Am J Public Health 2001;91:1783-9.
6. Diez-Roux AV. A glossary for multilevel analysis. J Epidemiol Community Health 2002;56:588-94.
7. Diez Roux AV, Merkin SS, Arnett D, et al. Neighborhood of residence and incidence of coronary heart disease. N Engl J Med 2001;345:99-106.
8. Coleman W. Death is a social disease: public health and political economy in early industrial France. Madison, WI: University of Wisconsin Press, 1982.
9. Oakes JM. The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. Soc Sci Med 2004;58:1929-52.
10. Kling JR, Liebman JB, Katz LF. Experimental analysis of neighborhood effects. Econometrica 2007;75:83-119.
11. Johnson PJ, Oakes JM, Anderton DL. Neighborhood poverty and American Indian infant death: are the effects identifiable? Ann Epidemiol (in press).
12. Oakes JM, Forsyth A, Schmitz KH. The effects of neighborhood density and street connectivity on walking behavior: the Twin Cities walking study. (Electronic article). Epidemiol Perspect Innov 2007;4:16.
13. Deluca S, Rosenbaum JE. If low-income blacks are given a chance to live in white neighborhoods, will they stay? Examining mobility patterns in a quasi-experimental program with administrative data. Housing Policy Debate 2003;14:305-46.
14. Vanderweele TJ. Ignorability and stability assumptions in neighborhood effects research. Stat Med 2007;27:1934-43.
15. Sobel ME. What do randomized studies of housing mobility demonstrate? Causal inference in the face of interference. J Am Stat Assoc 2006;101:1398-407.
16. Stokols D. Establishing and maintaining healthy environments: toward a social ecology of health promotion. Am Psychol 1992;47:6-22.
17. Coleman JS. The foundations of social theory. Cambridge, United Kingdom: Belknap, 1990.
18. Oakes JM, Kaufman JS. Introduction. In: Oakes JM, Kaufman JS, eds. Methods in social epidemiology. San Francisco, CA: Jossey-Bass/Wiley, 2006:3-20.
19. Greenland S. Summarization, smoothing, and inference in epidemiologic analysis. Scand J Soc Med 1993;21:227-32.
20. Macy MW, Willer R. From factors to actors: computational sociology and agent-based modeling. Annu Rev Sociol 2002;28:143-66.
21. Gintis H, Bowles S, Boyd R, et al. Moral sentiments and material interests: origins, evidence, and consequences. In: Gintis H, Bowles S, Boyd R, et al, eds. Moral sentiments and material interests. Cambridge, MA: MIT Press, 2005.
22. Hannan PJ. Experimental social epidemiology: controlled community trials. In: Oakes JM, Kaufman JS, eds. Methods in social epidemiology. San Francisco, CA: Jossey-Bass/Wiley, 2006:335-64.
23. Pearl J. Causality: models, reasoning, and inference. New York, NY: Cambridge University Press, 2000.
24. Glymour MM. Using causal diagrams to understand common problems in social epidemiology. In: Oakes JM, Kaufman JS, eds. Methods in social epidemiology. San Francisco, CA: Jossey-Bass/Wiley, 2006:393-428.
25. Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology 1999;10:37-48.
26. Box GEP, Draper NR. Empirical model-building and response surfaces. New York, NY: Wiley, 1987.
27. Box G. Statistics and quality improvement. J R Stat Soc (A) 1994;157:209-29.
28. Box GEP. Science and statistics. J Am Stat Assoc 1976;71:791-9.
29. Oakes JM. An analysis of American Journal of Epidemiology citations with special reference to statistics and social science. Am J Epidemiol 2005;161:494-500.
30. Defoe D. Robinson Crusoe. New York, NY: Oxford University Press, 2007.