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Published in: Emerging Themes in Epidemiology 1/2005

Open Access 01-12-2005 | Analytic perspective

The Bradford Hill considerations on causality: a counterfactual perspective

Author: Michael Höfler

Published in: Emerging Themes in Epidemiology | Issue 1/2005

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Abstract

Bradford Hill's considerations published in 1965 had an enormous influence on attempts to separate causal from non-causal explanations of observed associations. These considerations were often applied as a checklist of criteria, although they were by no means intended to be used in this way by Hill himself. Hill, however, avoided defining explicitly what he meant by "causal effect".
This paper provides a fresh point of view on Hill's considerations from the perspective of counterfactual causality. I argue that counterfactual arguments strongly contribute to the question of when to apply the Hill considerations. Some of the considerations, however, involve many counterfactuals in a broader causal system, and their heuristic value decreases as the complexity of a system increases; the danger of misapplying them can be high. The impacts of these insights for study design and data analysis are discussed. The key analysis tool to assess the applicability of Hill's considerations is multiple bias modelling (Bayesian methods and Monte Carlo sensitivity analysis); these methods should be used much more frequently.
Literature
1.
go back to reference Armitage P: Before and after Bradford Hill: Some trends in medical statistics. J Roy Stat Soc A. 1995, 158: 143-153.CrossRef Armitage P: Before and after Bradford Hill: Some trends in medical statistics. J Roy Stat Soc A. 1995, 158: 143-153.CrossRef
2.
go back to reference Doll R: Sir Austin Bradford Hill: A personal view of his contribution to epidemiology. J Roy Stat Soc A. 1995, 158: 155-163.CrossRef Doll R: Sir Austin Bradford Hill: A personal view of his contribution to epidemiology. J Roy Stat Soc A. 1995, 158: 155-163.CrossRef
3.
go back to reference Armitage P: Fisher, Bradford Hill, and randomisation. Int J Epidemiol. 2003, 32: 925-928. 10.1093/ije/dyg286CrossRefPubMed Armitage P: Fisher, Bradford Hill, and randomisation. Int J Epidemiol. 2003, 32: 925-928. 10.1093/ije/dyg286CrossRefPubMed
4.
go back to reference Chalmers I: Fisher and Bradford Hill: theory and pragmatism?. Int J Epidemiol. 2003, 32: 922-924. 10.1093/ije/dyg295CrossRefPubMed Chalmers I: Fisher and Bradford Hill: theory and pragmatism?. Int J Epidemiol. 2003, 32: 922-924. 10.1093/ije/dyg295CrossRefPubMed
5.
go back to reference Hill AB: The environment and disease: Association or causation?. Proceed Roy Soc Medicine – London. 1965, 58: 295-300. Hill AB: The environment and disease: Association or causation?. Proceed Roy Soc Medicine – London. 1965, 58: 295-300.
6.
go back to reference Phillips CV, Goodman KJ: The missed lessons of Sir Austin Bradford Hill. Epidemiol Perspect & Innov. 1965, 1: 3-10.1186/1742-5573-1-3. 10.1186/1742-5573-1-3CrossRef Phillips CV, Goodman KJ: The missed lessons of Sir Austin Bradford Hill. Epidemiol Perspect & Innov. 1965, 1: 3-10.1186/1742-5573-1-3. 10.1186/1742-5573-1-3CrossRef
7.
go back to reference Goodman KJ, Phillips CV: The Hill criteria of causation. In Encyclopedia of Statistics in Behavioral Sciences. London: Wiley; 2005 Goodman KJ, Phillips CV: The Hill criteria of causation. In Encyclopedia of Statistics in Behavioral Sciences. London: Wiley; 2005
8.
go back to reference Hussain SP, Harris CC: Molecular epidemiology of human cancer. Toxicol Lett. 1998, 103: 219-225. 10.1016/S0378-4274(98)00310-5. 10.1016/S0378-4274(98)00310-5CrossRef Hussain SP, Harris CC: Molecular epidemiology of human cancer. Toxicol Lett. 1998, 103: 219-225. 10.1016/S0378-4274(98)00310-5. 10.1016/S0378-4274(98)00310-5CrossRef
9.
go back to reference Spitzer WO: Bias versus causality: Interpreting recent evidence of oral contraceptive studies. Am J Obstet Gynecol. 1998, 179: S43-S50. 10.1053/ob.1998.v179.a93059CrossRefPubMed Spitzer WO: Bias versus causality: Interpreting recent evidence of oral contraceptive studies. Am J Obstet Gynecol. 1998, 179: S43-S50. 10.1053/ob.1998.v179.a93059CrossRefPubMed
10.
go back to reference Naschitz JE, Kovaleva J, Shaviv N, Rennert G, Yeshurun D: Vascular disorders preceding diagnosis of cancer: distingushing the causal relationship based on the Bradford-Hill guidelines. Angiology. 2003, 54: 11-17.CrossRefPubMed Naschitz JE, Kovaleva J, Shaviv N, Rennert G, Yeshurun D: Vascular disorders preceding diagnosis of cancer: distingushing the causal relationship based on the Bradford-Hill guidelines. Angiology. 2003, 54: 11-17.CrossRefPubMed
11.
go back to reference Susser M: What is a cause and how do we know one? A grammar for pragmatic epidemiology. Amer J Epidemiol. 1991, 7: 635-648. Susser M: What is a cause and how do we know one? A grammar for pragmatic epidemiology. Amer J Epidemiol. 1991, 7: 635-648.
12.
go back to reference Morabia A: On the origin of Hill's causal criteria. Epidemiol. 1991, 5: 367-369.CrossRef Morabia A: On the origin of Hill's causal criteria. Epidemiol. 1991, 5: 367-369.CrossRef
13.
go back to reference Little RJA, Rubin DB: Causal effects in clinical and epidemiological studies via potential outcomes: Concepts and analytical approaches. Annu Rev Public Health. 2000, 21: 121-145. 10.1146/annurev.publhealth.21.1.121CrossRefPubMed Little RJA, Rubin DB: Causal effects in clinical and epidemiological studies via potential outcomes: Concepts and analytical approaches. Annu Rev Public Health. 2000, 21: 121-145. 10.1146/annurev.publhealth.21.1.121CrossRefPubMed
14.
go back to reference Höfler M: Causal inference based on counterfactuals. BMC Med Res Methodol. 2005, 5: 18. 10.1186/1471-2288-5-28CrossRef Höfler M: Causal inference based on counterfactuals. BMC Med Res Methodol. 2005, 5: 18. 10.1186/1471-2288-5-28CrossRef
15.
go back to reference Holland PW: Statistics and causal inference. J Amer Stat Ass. 1986, 81: 945-962.CrossRef Holland PW: Statistics and causal inference. J Amer Stat Ass. 1986, 81: 945-962.CrossRef
16.
go back to reference Rubin DB: Estimating causal effects of treatments in randomised and nonrandomised studies. J Educ Psychol. 1974, 66: 688-701.CrossRef Rubin DB: Estimating causal effects of treatments in randomised and nonrandomised studies. J Educ Psychol. 1974, 66: 688-701.CrossRef
17.
go back to reference Rosenbaum PR, Rubin DB: The central role of the propensity score in observational studies for causal inference. Biometrika. 1983, 70: 41-55.CrossRef Rosenbaum PR, Rubin DB: The central role of the propensity score in observational studies for causal inference. Biometrika. 1983, 70: 41-55.CrossRef
18.
go back to reference Rothman KJ, Greenland S, eds: Modern Epidemiology. 2nd edition Philadelphia: Lippincott Williams & Wilkins; 1998. Rothman KJ, Greenland S, eds: Modern Epidemiology. 2nd edition Philadelphia: Lippincott Williams & Wilkins; 1998.
19.
go back to reference Pearl J: Causality – Models, reasoning and inference. Cambridge: Cambridge University Press; 2002. Pearl J: Causality – Models, reasoning and inference. Cambridge: Cambridge University Press; 2002.
20.
go back to reference Maldonado G, Greenland S: Estimating causal effects. Int J Epidemiol. 2002, 31: 422-429. 10.1093/ije/31.2.422CrossRefPubMed Maldonado G, Greenland S: Estimating causal effects. Int J Epidemiol. 2002, 31: 422-429. 10.1093/ije/31.2.422CrossRefPubMed
21.
go back to reference Rothman KJ: Causes. Amer J Epidemiol. 1976, 104: 587-592. Rothman KJ: Causes. Amer J Epidemiol. 1976, 104: 587-592.
22.
go back to reference Lewis D: Causation. Journal of Philosophy. 1973, 70: 556-567. Lewis D: Causation. Journal of Philosophy. 1973, 70: 556-567.
23.
go back to reference Maclure M, Schneeweiβ S: Causation of bias: the episcope. Epidemiology. 2001, 12: 114-122. 10.1097/00001648-200101000-00019CrossRefPubMed Maclure M, Schneeweiβ S: Causation of bias: the episcope. Epidemiology. 2001, 12: 114-122. 10.1097/00001648-200101000-00019CrossRefPubMed
24.
go back to reference Kraemer HC, Kazdin AE, Offord DE, Kessler RC, Jensen PS, Kupfer DJ: Measuring the potency of risk factors for clinical or policy significance. Psychol Meth. 1999, 4: 257-271. 10.1037/1082-989X.4.3.257. 10.1037/1082-989X.4.3.257CrossRef Kraemer HC, Kazdin AE, Offord DE, Kessler RC, Jensen PS, Kupfer DJ: Measuring the potency of risk factors for clinical or policy significance. Psychol Meth. 1999, 4: 257-271. 10.1037/1082-989X.4.3.257. 10.1037/1082-989X.4.3.257CrossRef
25.
go back to reference Rothman KJ, Poole C: A strengthening programme for weak associations. Int J Epidemiol. 1988, 17: 955-959.CrossRefPubMed Rothman KJ, Poole C: A strengthening programme for weak associations. Int J Epidemiol. 1988, 17: 955-959.CrossRefPubMed
26.
go back to reference Rosenbaum PR: Observational Studies. 2nd edition. New York: Springer; 2002.CrossRef Rosenbaum PR: Observational Studies. 2nd edition. New York: Springer; 2002.CrossRef
27.
go back to reference Greenland S: Multiple-bias modelling for analysis of observational data. J Roy Stat Soc. 2005, 168: 267-291. 10.1111/j.1467-985X.2004.00349.x. 10.1111/j.1467-985X.2004.00349.xCrossRef Greenland S: Multiple-bias modelling for analysis of observational data. J Roy Stat Soc. 2005, 168: 267-291. 10.1111/j.1467-985X.2004.00349.x. 10.1111/j.1467-985X.2004.00349.xCrossRef
28.
go back to reference Cox DR, Wermuth N: Multivariate Dependencies. Models, Analyses and Interpretation. London: Chapman and Hall; 1996. Cox DR, Wermuth N: Multivariate Dependencies. Models, Analyses and Interpretation. London: Chapman and Hall; 1996.
29.
go back to reference Greenland S: Basic problems in interaction assessment. Envir Health Perspect. 1993, 101: 59-66.CrossRef Greenland S: Basic problems in interaction assessment. Envir Health Perspect. 1993, 101: 59-66.CrossRef
30.
go back to reference Weiss N: Can the "specificity" of an association be rehabilitated as a basis for supporting a cuasal hypothesis?. Epidemiology. 2002, 13: 6-8. 10.1097/00001648-200201000-00003CrossRefPubMed Weiss N: Can the "specificity" of an association be rehabilitated as a basis for supporting a cuasal hypothesis?. Epidemiology. 2002, 13: 6-8. 10.1097/00001648-200201000-00003CrossRefPubMed
31.
go back to reference Greenland S, Pearl J, Robins JM: Causal diagrams for epidemiological research. Epidemiology. 1999, 10: 37-48. 10.1097/00001648-199901000-00005CrossRefPubMed Greenland S, Pearl J, Robins JM: Causal diagrams for epidemiological research. Epidemiology. 1999, 10: 37-48. 10.1097/00001648-199901000-00005CrossRefPubMed
32.
go back to reference Mineka S, Watson D, Clark LA: Comorbodity of anxiety and unipolar mood disorders. Annu Rev Psychol. 1998, 49: 377-412. 10.1146/annurev.psych.49.1.377CrossRefPubMed Mineka S, Watson D, Clark LA: Comorbodity of anxiety and unipolar mood disorders. Annu Rev Psychol. 1998, 49: 377-412. 10.1146/annurev.psych.49.1.377CrossRefPubMed
33.
go back to reference O'Sullivan S, Cormican L, Murphy M, Poulter LW, Conor MB: Effects of varying doses of flutocasone propionate on the physiology and bronchial wall immunopathology in mild-to-moderate asthma. Chest. 2002, 122: 1966-1972. 10.1378/chest.122.6.1966CrossRefPubMed O'Sullivan S, Cormican L, Murphy M, Poulter LW, Conor MB: Effects of varying doses of flutocasone propionate on the physiology and bronchial wall immunopathology in mild-to-moderate asthma. Chest. 2002, 122: 1966-1972. 10.1378/chest.122.6.1966CrossRefPubMed
34.
go back to reference Melmon KL, Morelli HF, Hoffman BB, Niederenberg DW, Eds: Clinical pharmacology: Basic principles in therapeutics. New York: McGraw-Hill; 1992. Melmon KL, Morelli HF, Hoffman BB, Niederenberg DW, Eds: Clinical pharmacology: Basic principles in therapeutics. New York: McGraw-Hill; 1992.
35.
go back to reference Lanes SF, Poole C: Truth in packaging' The unwrapping of epidemiological research. J Occupat Medic. 1984, 8: 571-574.CrossRef Lanes SF, Poole C: Truth in packaging' The unwrapping of epidemiological research. J Occupat Medic. 1984, 8: 571-574.CrossRef
36.
go back to reference Rothman KJ, Greenland S: Causation and causal inference in epidemiology. Am J Publ Health. 2005, 95: S144-150. 10.2105/AJPH.2004.059204. 10.2105/AJPH.2004.059204CrossRef Rothman KJ, Greenland S: Causation and causal inference in epidemiology. Am J Publ Health. 2005, 95: S144-150. 10.2105/AJPH.2004.059204. 10.2105/AJPH.2004.059204CrossRef
Metadata
Title
The Bradford Hill considerations on causality: a counterfactual perspective
Author
Michael Höfler
Publication date
01-12-2005
Publisher
BioMed Central
Published in
Emerging Themes in Epidemiology / Issue 1/2005
Electronic ISSN: 1742-7622
DOI
https://doi.org/10.1186/1742-7622-2-11

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