<電子ブック>
Statistical thinking in epidemiology

責任表示
著者
本文言語
出版者
出版年
出版地
概要 "While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate s...tatistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems in the use of correlation and regression in medical and epidemiological research: mathematical coupling, regression to the mean, collinearity, the reversal paradox, and statistical interaction. Statistical Thinking in Epidemiology is about thinking statistically when looking at problems in epidemiology. The authors focus on several methods and look at them in detail: specific examples in epidemiology illustrate how different model specifications can imply different causal relationships amongst variables, and model interpretation is undertaken with appropriate consideration of the context of implicit or explicit causal relationships. This book is intended for applied statisticians and epidemiologists, but can also be very useful for clinical and applied health researchers who want to have a better understanding of statistical thinking. Throughout the book, statistical software packages R and Stata are used for general statistical modeling, and Amos and Mplus are used for structural equation modeling"--Provided by publisher.続きを見る
目次 Vector geometry of linear models for epidemiologists
Path diagrams and directed acyclic graphs
Mathematical coupling and regression to the mean in the relation between change and initial value
Analysis of change in pre-/post-test studies
Collinearity and multicollinearity
Is reverse paradox a paradox?
Testing statistical interaction
Finding growth trajectories in lifecourse research
Partial least squares regression for lifecourse research.
アクセス注記 Taylor & Francis eBooks DRM Free Collection トライアル中(2023/3/31まで利用可能) 【Trial】This title is available until March 31, 2023.
本文を見る Taylor & Francis eBooks DRM Free Collection: 2011

詳細

レコードID
刊行頻度
データベース タイトル
主題
管理番号
eISBN
XISBN
登録日 2023.01.20
更新日 2023.01.20