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Titlebook: Epidemiology and Biostatistics; Practice Problem Wor Bryan Kestenbaum Book 2019 Springer Nature Switzerland AG 2019 Epidemiology.Biostatist

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發(fā)表于 2025-3-21 20:04:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Epidemiology and Biostatistics
副標(biāo)題Practice Problem Wor
編輯Bryan Kestenbaum
視頻videohttp://file.papertrans.cn/314/313172/313172.mp4
概述Clarifies and simplifies sections on clinical trials and effect modification.Features long and short answer questions as well as multiple choice questions with extensive answers provided.Based off of
圖書封面Titlebook: Epidemiology and Biostatistics; Practice Problem Wor Bryan Kestenbaum Book 2019 Springer Nature Switzerland AG 2019 Epidemiology.Biostatist
描述This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook "Epidemiology and Biostatistics, 2nd Edition". It is written in concise and organized fashion with many examples to illustrate the concepts deriving from a collection of written materials created to teach Epidemiology and Biostatistics to medical students. The major differences from related titles include a “story” based approach toward teaching the material, relative brevity while maintaining focus on key concepts, and taking the perspective of first-time learners (avoiding and/or clearly defining jargon, using clear common-sense language). It features a variety of questions: long, short, and multiple choice questions. The workbook is made to provide students with the tools necessary to form their own informed conclusions from the clinical research literature.
出版日期Book 2019
關(guān)鍵詞Epidemiology; Biostatistics; Public Health; Clinical Research Design; Clinical Epidemiology
版次1
doihttps://doi.org/10.1007/978-3-319-97433-0
isbn_softcover978-3-319-97432-3
isbn_ebook978-3-319-97433-0
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Molecular Mechanism of Flagellar Movement,ness of new diseases and can generate hypotheses regarding possible causes. However, case reports and case series have inherent limitations that hinder inference of causal relationships: lack of a suitable denominator to calculate incidence, absence of comparison groups, small sample size, and ambig
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Galois Cohomology of Classical Groups,r cross-sectional studies is the ability to separate potential risk factors from the occurrence of disease over time to assess temporal relationships. Cohort study data can be used to calculate measures of risk, including relative risk, attributable risk, and population attributable risk. Like other
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The Structure of Some Group Rings,riod. Case-control studies begin by targeting people who have and do not have a disease or condition of interest and then work backward to determine associations with previous exposures. Due to the manner in which participants are selected for these studies, case-control data alone cannot be used to
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