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BOOK

"Moshimo" De Inochi Ha Sukueru Ka? Inga Suiron Nyumon (Kobunsha Shinsho)

Inoe, Kosuke

960yen
(1056yen Tax incl. in Japan)
US$ 6.01
Points You Earn 1% (9p)
Release Date late May 2026
Availability In Stock at Supplier:Usually ships in 2-4 days
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Product Details

Catalog No.NEOBK-3212526
JAN/ISBN 9784334109806
Product Type BOOK
Label/DistributorKobunsha
Product Package Size (Measured) 10.6 x 17.2 x 1.2cm
Pages 254

Books are basically written in Japanese except for bilingual books or ones indicated as not written only in Japanese.

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Description

[Machine Translation] Causal reasoning is "an approach that correctly discerns the connection between cause and effect. It is an essential concept in the world of medicine, where interventions such as drug administration, surgery, and vaccinations are always involved, but it is also widely used in policy making, economic activities, and even in decision making in everyday life. What if I started running every day at age 20? What if I didn't eat ramen noodles after drinking? The most important of these "what ifs" is the "counterfactual" concept. In the real world, we can observe only one option for each person, but by comparing various "unobservable outcomes" using data, we can examine causal relationships more precisely. This book explains how to understand causal relationships in an easy-to-understand manner through the "what if world," while introducing specific research cases. It also discusses how to deal with health information and next-generation medicine.

Translate Description

*As it is a machine translation, the result may not provide an accurate description. Please use it only as a reference. *Not available within the China mainland region (谷歌翻译在中国大陆无法使用).

Description in Japanese

「もしも」で命は救えるか? 因果推論入門 (光文社新書) / 井上浩輔/著

因果推論とは「原因と結果のつながりを正しく見抜くアプローチ」。薬の投与や手術、ワクチン接種など、介入がつきまとう医療の世界では不可欠な概念だが、政策立案、経済活動、そして日常生活の意思決定にまで広く関わっている。「もしも20歳から毎日ランニングをしていたら?」「もしも飲み会の後にラーメンを食べなかったら?」―こうした「もしも」を科学的に考えることが因果推論の出発点であり、なかでも重要なのが「反実仮想」の考え方である。現実世界では一人の人に対し一つの選択肢しか観察できないが、「観測できないもう一つの結果」をデータを用いて様々に比較することで、因果関係をより正確に調べることができる。本書では具体的な研究事例を紹介しながら、「もしもの世界」を通じて因果関係の捉え方をわかりやすく解説。健康情報とのつき合い方や次世代医療についても考える。

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    Tracklisting

    1
    第1章 因果推論とは?
    2
    第2章 ランダム化比較試験で因果関係を捉える
    3
    第3章 観察データから因果関係を捉える
    4
    第4章 時間によって変化する状況を評価する
    5
    第5章 メカニズムを紐解く
    6
    第6章 誰にとって効果があるのか?
    7
    第7章 AI×因果推論
    8
    第8章 次世代の個別化医療戦略

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