Eine Einführung in Kausalitätsprinzipien in der biomedizinischen Forschung

A. Stang

doi:10.1055/s-0034-1387509

Das Gesundheitswesen, Table of Contents

Gesundheitswesen 2014; 76(12): 874-884
DOI: 10.1055/s-0034-1387509

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Eine Einführung in Kausalitätsprinzipien in der biomedizinischen Forschung

An Introduction to Causality Principles in Biomedical Research

A. Stang

Universitätsklinikum Essen – Institut für Medizinische Informatik, Biometrie und Epidemiologie

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References

Literatur
1 Goldstein M, Goldstein IF. How do we know. An exploration of the scientific progress. New York: Da Capo Press Inc; 1978: 1-357
2 Greenland S. Causation and causal inference. In: Lovric Med. International Encyclopedia of Statistical Sciences. Berlin: Springer; 2011: 216-219
3 Hume D. An enquiry concerning human understanding. LaSalle: Open Court Press; 1748
4 Stang A. [Causality and confounding in epidemiology]. Gesundheitswesen 2011; 73: 884-887
5 Baumgartner HM. Kant's „Kritik der reinen Vernunft“. 3.. Auflage. Freiburg: Karl Albert; 1991
6 Godfrey-Smith P. Theory and reality: an introduction to the philosophy of science. Chicago: University of Chicago Press; 2003: 1-272
7 Lewis D. Causal explanation. Phil Papers 1986; 2: 214-240
8 Rubin DB. Estimating causal effect of treatments in randomited and nonrandomized studies. J Educ Psychol 1974; 66: 688-701
9 Holland PW. Statistics and causal inference. J Am Stat Assoc 1986; 81: 945-960
10 Dawid AP. Causal inference without counterfactuals. J Am Stat Assoc 2000; 95: 407-424
11 Morgan SL, Winship C. Objections to features of the counterfactual model. In: Counterfactuals and causal inference. Methods and principles for social research. Cambridge: Cambridge University Press; 2007: 278-285
12 Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika 1983; 70: 41-55
13 Wilbert-Lampen U, Leistner D, Greven S et al. Cardiovascular events during World Cup soccer. N Engl J Med 2008; 358: 475-483
14 Tam CC, Lopman BA. Determinism versus stochasticism: in support of long coffee breaks. J Epidemiol Community Health 2003; 57: 477-478
15 Maldonado G, Greenland S. Estimating causal effects. Int J Epidemiol 2002; 31: 422-429
16 Stang A. Randomized controlled trials – an indispensible part of clinical research. Dtsch Arztebl Int 2011; 108: 661-662
17 Greenland S. Randomization, statistics, and causal inference. Epidemiology 1990; 1: 421-429
18 Mackie JL. Causes and conditions. Am Phil Quart 1965; 2: 245-264
19 Rothman KJ. Causes. Am J Epidemiol 1976; 104: 587-592
20 Greenland S, Brumback B. An overview of relations among causal modelling methods. Int J Epidemiol 2002; 31: 1030-1037
21 Rothman KJ, Greenland S, Lash TL. Modern Epidemiology. 3. Philadelphia: Lippincott Williams & Wilkins; 2008: 1-758
22 Fagot-Largeault A. Les causes de la mort-histoire naturelle et facteurs de risque. Paris: Vrin; 1989: 1-428
23 Parascandola M, Weed DL. Causation in epidemiology. J Epidemiol Community Health 2001; 55: 905-912
24 Fisher RA. Indeterminism and natural selection. Philosophy of Science 1934; 134: 1501-1506
25 Mayr E. Cause and effect in biology. Science 1961; 134: 1501-1506
26 Cornfield J. Principles of research. Am J Ment Defic 1959; 64: 240-252
27 Reichenbach H. The direction of time. Berkeley, Los Angeles: University of California Press; 1956
28 Karhausen LR. The logic of causation in epidemiology. Scand J Soc Med 1996; 24: 8-13
29 Probabilistic causation. Stanford Encyclopedia of Philosophy. 2010. Im Internet: http://plato.stanford.edu/entries/causation-probabilistic/ (zugegriffen am 24.7.2014)
30 Lewis D. Postscripts to “causation”. In: Philosophical Papers, Volume II. Oxford: Oxford University Press; 1986: 173-213
31 Cartwright N. Nature’s capacities and their measurement. Oxford: Clarendon Press; 1989
32 Brennecke R. Lehrbuch Sozialmedizin. Bern: Hans Huber; 2004
33 Susser M. Causal thinking in the health sciences: concepts and strategies of epidemiology. New York: Oxford University Press; 1973
34 Kaufman JS. Social epidemiology. In: Rothman KJ, Greenland S, Lash TL, eds. Modern Epidemiology. Philadelphia: Lippincott Williams & Wilkins; 2008: 532-548
35 Greenland S. Epidemiologic measures and policy formulation: lessons from potential outcomes. Emerg Themes Epidemiol 2005; 2: 5
36 Stang A, Poole C, Bender R. Common problems related to the use of number needed to treat. J Clin Epidemiol 2010; 63: 820-825
37 Linde K, Streng A, Jurgens S et al. Acupuncture for patients with migraine: a randomized controlled trial. JAMA 2005; 293: 2118-2125
38 Koch R. Über bacteriologische Forschung. Dtsch Med Wochenschr 1890; 16: 756
39 Hill AB. The environment and disease: association or causation?. Proc R Soc Med 1965; 58: 295-300
40 Mill JA. System of logic, ratiocinative and inductive. Being a connected view of the principles of evidence and the methods of scientific investigation. New York: Harper and Brothers; 1882
41 Morabia A. Hume, Mill, Hill, and the sui generis epidemiologic approach to causal inference. Am J Epidemiol 2013; 178: 1526-1532
42 Greenland S. An overview of methods for causal inference from observational studies. In: Gelman A, Meng XL, eds. Applied Bayesian modeling and causal inference from incomplete-data perspectives. An essential journey with Donald Rubin's statistical family. Chichester: John Wiley; 2005: 1-13
43 Evans AS. Causation and disease. A chronological journey. New York: Plenum Medical Book Company; 1993: 1-238
44 Susser M. What is a cause and how do we know one? A grammar for pragmatic epidemiology. Am J Epidemiol 1991; 133: 635-648
45 Greenland S. Causal inference as a prediction problem: assumptions, identification, and evidence synthesis. In: Berzuini C, Dawid AP, Bernardinelli L, eds. Causal inference: statistical perspectives and applications. New York: Wiley; 2012: 43-58
46 Blair A, Saracci R, Vineis P et al. Epidemiology, public health, and the rhetoric of false positives. Environ Health Perspect 2009; 117: 1809-1813
47 Vineis P. Viewpoint: the skeptical epidemiologist. Int J Epidemiol 2009; 38: 675-677
48 Ziman J. Reliable knowledge. An exploration of the grounds for belief in science. Cambridge: Cambridge University Press; 1978: 1-197
49 Baumgartner M, Graßhoff G. Kausalität und kausales Schliessen. Eine Einführung mit interaktiven Übungen. Bern: Universität Bern; 2004: 1-324
50 Pearl J. Causality. Models, reasoning, and inference. 2nd. edition. Cambridge: Cambridge University Press; 2009: 1-464
51 Firestein S. Ignorance. How it drives science. New York: Oxford University Press; 2012: 1-195