Davidson, D. Causal relations. In: Davidson, D Essays on actions and events. Clarendon Press, Oxford 1980, pp. 149-6222
Gillies D. An action .related theory of causality. Brit. J. Phil. Sci. 56 (2005), 823.842
Cartwright N. Causation, one word, many things. Philosophy of Science, 2000; 71: 805-19.
Tesh, S. Hidden Argunents: Political Ideology and Diseases Prevention Policy. Cap. 1, 2 e 3 Rutgers University Press, New
Brunswick, 1988 pp. 7-82
HILL B. The Environment and Disease: association or causation? Proc Roy Soc Med 58:295-300, 1965.
Phillips CV, Goodman KJ. The missed lessons of Sir Austin Bradford Hill. Epidemiologic Perspectives & Innovations 2004, 1:3
Weed DL. Causal criteria and poperian refutation. In Rothman KJ. Cusal Inference. Epidemiology Resources Inc., Chestnut
Hill, 1988, pp15-32.
Susser M. Criteria of Judgment. In: Susser M. Causal Thinking in the health Sciences: Concepts and strategies in
epidemiology.
Oxford University Press, New York, 1973 pp: 140-162.
Susser E. Eco-epidemiology: thinking outside the black box. Epidemiology. 2004 Sep;15(5):519-20
Greenland S, Gago-Dominguez M, Castelao JE. The value of risk-factor ("black-box") epidemiology. Epidemiology. 2004
Sep;15(5):529-35.
Rothman K, Greenland S. Causation and causal inference in epidemiology. Am J Publ Health. 95(Suppl 1); 144-50, 2005
Barreto ML. Epidemiologists and causation in an intricate world. Emerging Themes in Epidemiology. 2005;2:3.
KRIEGER N.. Epidemiology and the web of causation: has anyone seen the spider? Soc. Sci. Med. vol. 39 Nº 7, pp 887-903,
1994.
Vineis P. Causality in epidemiology. Soz.- Präventivmed. 2003; 48: 80.87
Lipton R, Ødegaard T. Causal thinking and causal language in epidemiology: it's in the details. Epidemiologic Perspectives &
Innovations 2005, 2:8
Lagiou P Adami H, Trichopoulos D. Causality in cancer epidemiology. European Journal of Epidemiology, 2005; 20: 565.574
Freedman D. From Association to Causation: Some Remarks on the History of Statistics. Statistical Science, 1999; 14:
243-258
GOODMAN SN Toward evidence-based medical statistics. 1: The P Value Fallacy Ann Intern Medicine 1999; 130:995-1004
DUNSON DB Commentarly: pratical advantages of Bayesian analysis of epidemiologic data. Am J Epidemiol
2001:153:1222-6.
SPIEGELLHALTER DJ, MYLES JP, JONES DR, ABRAMS KR. An introduction to bayesian methods in health technology
assessment. BMJ volume 319 1999; 508-512
GASKO R. Statistical hypothesis testing . how exact are exact p-values? Bratisl Lek Listy, no 104, vol 1, p. 36-39, 2003.
Barreto ML. Efficacy, effectiveness, and the evaluation of public health interventions. Journal of Epidemiology and Community
Health, v. 59, n. 5, p. 345-346, 2005.[Editorial]¬
In: World Cancer Research Fund. Food nutrition and the prevention of cancer a global perspective. Cap 3. Scientific
Evidence and Judgment. Pp. 72-90
Lawlor DA, Davey-Smith G, Bruckdorfer K R, Kundu D, Ebrahim S. Those confounded vitamins: what can we learn from the
differences between observational versus randomised trial. evidence? Lancet 362: 1724-7, 2004
Vandenbroucke, JP. When are observational studies as credible as randomised trials? Lancet 362:1728-31, 2004
Abel U, Koch A The Role of Randomization in Clinical Studies: Myths and Beliefs J Clin Epidemiol 52: 487.497, 1999
Greenland S, Morgenstern H. Confounding in health research Annu. Rev. Public Health 22:189.212, 2001.
WEINBERG C Towards a clearer definition of confounder. Am J Epidemiol 137:1-8, 1993
CHRISTENFELD NJS, SLOAN RP, CARROLL D, GREENLAND S Risk factors, confounding, and the illusion of statistical.
Psychosom Med. 66(6):868-75, 2004.
Ayres, JR. Sobre o risco: para compreender a epidemiologia. 1. ed. São Paulo: Hucitec, 1997. v. 1. 327 p.