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Applying Quantitative Bias Analysis to Epidemiologic Data (Statistics for Biology and Health) 🔍
Lash, Timothy L., Fox, Matthew P., Fink, Aliza K. Springer Science+Business Media, LLC, Statistics for biology and health, Dordrecht, New York, Netherlands, 2009
英语 [en] · PDF · 13.1MB · 2009 · 📗 未知类型的图书 · 🚀/ia · Save
描述
Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.
Erscheinungsdatum: 12.05.2009
备选标题
Applying Quantitatvie Bias Analysis to Observational Epidemiologic Research
备选作者
Timothy L. Lash, Matthew P. Fox, Aliza K. Fink
备用出版商
Dordrecht ; New York: Springer
备用出版商
Springer New York
备用出版商
Copernicus
备用出版商
Telos
备用版本
Statistics for biology and health (Print), New York, 2009
备用版本
Statistics for Biology and Health, New York, NY, 2009
备用版本
Statistics for Biology and Health, 2011
备用版本
United States, United States of America
备用版本
2009, 2011
元数据中的注释
Includes bibliographical references and index.
备用描述
This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis. The text concludes with a chapter on presentation and interpretation o
备用描述
This book collects and synthesizes methods for quantifiying systematic errors that affect observational epidemiologic research.
备用描述
xii, 192 p. : 25 cm
Includes bibliographical references and index
开源日期
2024-07-01
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