Statistical thinking in epidemiology
by Gilthorpe, Mark S. Tu, Yu-Kang
Addressing issues that have plagued researchers throughout the last decade, this book provides new insights into the many existing problems in statistical modeling and offers several alternative strategies to approach these problems. Emphasizing the importance of statistical thinking behind all analyses, the authors use specific examples in epidemiology to illustrate different model specifications that can imply different sets of causal relationships between variables. Each model is interpreted…
Read More ↓Title Statements
- Full title :Statistical thinking in epidemiology / by Yu-Kang Tu, Mark S. Gilthorpe
Summary
Addressing issues that have plagued researchers throughout the last decade, this book provides new insights into the many existing problems in statistical modeling and offers several alternative strategies to approach these problems. Emphasizing the importance of statistical thinking behind all analyses, the authors use specific examples in epidemiology to illustrate different model specifications that can imply different sets of causal relationships between variables. Each model is interpreted with regard to the context of implicit or explicit causal relationships. The authors also use vector geometry where applicable to provide an intuitive understanding of important statistical concepts.
Read More ↓Edition Statements
- Publication Date:2012
Publication Statements
- Publisher(s):Chapman & Hall/CRC
- Place of Publication:London
- Language:eng
- Publication Date:2012
Notes
Introduction 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 'Reversal Paradox' a Paradox? Testing Statistical Interaction Finding Growth Trajectories in Lifecourse Research Partial Least Squares Regression for Lifecourse Research Concluding Remarks Index
The Physical Object
- Description:xii, 219 s. : : illustrations
Edition Identifiers
- ISBN:9781420099911, 1420099914
- oclc:ocn769094626
- Dewey Decimal:614.4015195
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