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Erschienen in: European Journal of Epidemiology 10/2016

12.08.2016 | BOOK REVIEW

Tyler J VanderWeele. Explanation in causal inference: methods for mediation and interaction

Oxford University Press, 2015

verfasst von: Ashley I. Naimi

Erschienen in: European Journal of Epidemiology | Ausgabe 10/2016

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Excerpt

The field of epidemiology is primarily concerned with evaluating cause-effect relationships. Research questions are often first articulated informally using (e.g.) English language sentences. For example, “what is the effect of smoking on cardiovascular disease risk, irrespective of smoking’s effect on body weight?” To answer this question, data are collected and entered into a computer, which performs a number of mathematical operations with the data to yield a number, usually interpreted as the answer to the research question of interest. …
Literatur
1.
Zurück zum Zitat Robins JM. Addendum to “a new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect”. Math Model. 1987;14(9–12):923–45. Robins JM. Addendum to “a new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect”. Math Model. 1987;14(9–12):923–45.
2.
Zurück zum Zitat VanderWeele TJ. Explanation in causal inference: methods for mediation and interaction. Oxford: Oxford University Press; 2015. VanderWeele TJ. Explanation in causal inference: methods for mediation and interaction. Oxford: Oxford University Press; 2015.
Metadaten
Titel
Tyler J VanderWeele. Explanation in causal inference: methods for mediation and interaction
Oxford University Press, 2015
verfasst von
Ashley I. Naimi
Publikationsdatum
12.08.2016
Verlag
Springer Netherlands
Erschienen in
European Journal of Epidemiology / Ausgabe 10/2016
Print ISSN: 0393-2990
Elektronische ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-016-0189-8

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