Introduction to Regression Analysis for Epidemiological Data (1)
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- HIDANO Arata
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine
Bibliographic Information
- Other Title
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- 回帰分析を用いた疫学データの解析 基本編(1)
- カイキ ブンセキ オ モチイタ エキガク データ ノ カイセキ キホンヘン(1)
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Description
<p>Regression modelling is a popular approach for analysing epidemiological data. While its analytical techniques are widely covered by standard textbooks, modelling approaches vary between disciplines, potentially confusing many users. Identifying the motivation behind epidemiological analyses, particularly understanding of causal inference, would naturally guide users. Nevertheless, this subject has not been taught systematically in many of the veterinary epidemiology curriculums. This series of articles aim to showcase the minimum standard for regression modelling, highlighting basic concepts such as confounding. In this first article, a regression modelling approach to making causal inference is explained. </p>
Journal
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- Journal of Veterinary Epidemiology
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Journal of Veterinary Epidemiology 24 (1), 29-35, 2020-07-20
The Japan Society of Veterinary Epidemiology
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Details 詳細情報について
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- CRID
- 1391412881272165632
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- NII Article ID
- 130007965768
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- NII Book ID
- AA11157349
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- ISSN
- 18812562
- 13432583
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- NDL BIB ID
- 030586920
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- IRDB
- NDL Search
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed