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Uncertainty and explanation in medic...
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Dammann, Olaf.
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Uncertainty and explanation in medicine and the health sciences
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Uncertainty and explanation in medicine and the health sciences/ by Olaf Dammann.
作者:
Dammann, Olaf.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xv, 332 p. :ill., digital ;24 cm.
內容註:
Chapter 1- Medical Skepticism -- Chapter 2- Medicine Is Not Science -- Chapter 3- Two Kinds of Uncertainty -- Chapter 4- Inference -- Chapter 5- Explanation -- Chapter 6- Causometry -- Chapter 7- Etiological Explanation -- Chapter 8- Etio-Prognostic Explanation -- Chapter 9- Evidence-Mapping.
Contained By:
Springer Nature eBook
標題:
Medicine - Philosophy. -
電子資源:
https://doi.org/10.1007/978-3-031-82271-1
ISBN:
9783031822711
Uncertainty and explanation in medicine and the health sciences
Dammann, Olaf.
Uncertainty and explanation in medicine and the health sciences
[electronic resource] /by Olaf Dammann. - Cham :Springer Nature Switzerland :2025. - xv, 332 p. :ill., digital ;24 cm.
Chapter 1- Medical Skepticism -- Chapter 2- Medicine Is Not Science -- Chapter 3- Two Kinds of Uncertainty -- Chapter 4- Inference -- Chapter 5- Explanation -- Chapter 6- Causometry -- Chapter 7- Etiological Explanation -- Chapter 8- Etio-Prognostic Explanation -- Chapter 9- Evidence-Mapping.
This book offers a comprehensive account of how uncertainty is tackled in medicine and the health sciences. Olaf Dammann explores recent accounts of medicine as ineffective and suggests that the impression that medicine does not achieve its goal is, at least in part, due to the aleatoric (natural) uncertainty of biomedical processes and the subsequent epistemic (cognitive) uncertainty of those who desire solid information about such processes. Dammann shows how concepts like inference, explanation, and causometry help mitigate this disconnect. He points toward the possibility that some of the statistically rigid and formalized approaches (such as the randomized controlled trial as the gold standard for the justification of medical interventions) might better be replaced by approaches that emphasize the coherence of evidence and the people's needs for helpful health interventions (auxiliarianism). Olaf Dammann is professor of Public Health and Community Medicine at Tufts University School of Medicine, USA. His main fields of research are philosophy of health science and perinatal epidemiology.
ISBN: 9783031822711
Standard No.: 10.1007/978-3-031-82271-1doiSubjects--Topical Terms:
550036
Medicine
--Philosophy.
LC Class. No.: R723
Dewey Class. No.: 610.1
Uncertainty and explanation in medicine and the health sciences
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Chapter 1- Medical Skepticism -- Chapter 2- Medicine Is Not Science -- Chapter 3- Two Kinds of Uncertainty -- Chapter 4- Inference -- Chapter 5- Explanation -- Chapter 6- Causometry -- Chapter 7- Etiological Explanation -- Chapter 8- Etio-Prognostic Explanation -- Chapter 9- Evidence-Mapping.
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This book offers a comprehensive account of how uncertainty is tackled in medicine and the health sciences. Olaf Dammann explores recent accounts of medicine as ineffective and suggests that the impression that medicine does not achieve its goal is, at least in part, due to the aleatoric (natural) uncertainty of biomedical processes and the subsequent epistemic (cognitive) uncertainty of those who desire solid information about such processes. Dammann shows how concepts like inference, explanation, and causometry help mitigate this disconnect. He points toward the possibility that some of the statistically rigid and formalized approaches (such as the randomized controlled trial as the gold standard for the justification of medical interventions) might better be replaced by approaches that emphasize the coherence of evidence and the people's needs for helpful health interventions (auxiliarianism). Olaf Dammann is professor of Public Health and Community Medicine at Tufts University School of Medicine, USA. His main fields of research are philosophy of health science and perinatal epidemiology.
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