|
| Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt. |
Statistical Thinking in Epidemiology
ISBN-13:
9781420099928
Veröffentl:
2016
Seiten:
231
Autor:
Yu-Kang Tu
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:
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.
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. References. Index.
Kunden Rezensionen
Mehr zum Thema
Folgen Sie uns auf:
