Statistical thinking in epidemiology. (2010)

• Record Type: Book
• Further Information: Note: By Yu-Kang Tu, Mark S. Gilthorpe.
• Other Names: Tu, Yu-Kang; Gilthorpe, Mark S
• Contents: Introduction; Uses of Statistics in Medicine and Epidemiology; Structure and Objectives of This Book; Nomenclature in This Book; Glossary; ; Vector Geometry of Linear Models for Epidemiologists ; Introduction; Basic Concepts of Vector Geometry in Statistics; Correlation and Simple Regression in Vector Geometry; Linear Multiple Regression in Vector Geometry; Significance Testing of Correlation and Simple Regression in Vector Geometry; Significance Testing of Multiple Regression in Vector Geometry; Summary; ; Path Diagrams and Directed Acyclic Graphs ; Introduction; Path Diagrams; Directed Acyclic Graphs; Direct and Indirect Effects; Summary; ; Mathematical Coupling and Regression to the Mean in the Relation between Change and Initial Value ; Introduction; Historical Background; Why Should Change Not Be Regressed on Initial Value? A Review of the Problem; Proposed Solutions in the Literature; Comparison between Oldham’s Method and Blomqvist’s Formula; Oldham’s Method and Blomqvist’s Formula Answer Two Different Questions; What Is Galton’s Regression to the Mean?; Testing the Correct Null Hypothesis; Evaluation of the Categorisation Approach; Testing the Relation between Changes and Initial Values When There Are More than Two Occasions; Discussion; ; Analysis of Change in Pre-/Post-Test Studies ; Introduction; Analysis of Change in Randomised Controlled Trials; Comparison of Six Methods; Analysis of Change in Non-Experimental Studies: Lord’s Paradox; ANCOVA and t -Test for Change Scores Have Different Assumptions; Conclusion; ; Collinearity and Multicollinearity ; Introduction: Problems of Collinearity in Linear Regression; Collinearity; Multicollinearity; Mathematical Coupling and Collinearity; Vector Geometry of Collinearity; Geometrical Illustration of Principal Components Analysis as a Solution to Multicollinearity; Example: Mineral Loss in Patients Receiving Parenteral Nutrition; Solutions to Collinearity; Conclusion; ; Is ‘Reversal Paradox’ a Paradox? ; A Plethora of Paradoxes: The Reversal Paradox; Background: The Foetal Origins of Adult Disease; Hypothesis (Barker’s Hypothesis); Vector Geometry of the Foetal Origins Hypothesis; Reversal Paradox and Adjustment for Current Body Size: Empirical Evidence from Meta-Analysis; Discussion; Conclusion; ; Testing Statistical Interaction ; Introduction: Testing Interactions in Epidemiological Research; Testing Statistical Interaction between Categorical Variables; Testing Statistical Interaction between Continuous Variables; Partial Regression Coefficient for Product Term in Regression Models; Categorization of Continuous Explanatory Variables; The Four-Model Principle in the Foetal Origins Hypothesis; Categorization of Continuous Covariates and Testing Interaction; Discussion; Conclusion; ; Finding Growth Trajectories in Lifecourse Research ; Introduction; Current Approaches to Identifying Postnatal Growth Trajectories in Lifecourse Research; Discussion; ; Partial Least Squares Regression for Lifecourse Research ; Introduction; Data; OLS Regression; PLS Regression; Discussion; Conclusion; ; Concluding Remarks ; ; References ; Index ;
• Publisher Details: London : Chapman & Hall/CRC
• Publication Date: 2010
• Extent: 1 online resource, illustrations
• Subjects: 614.4015195; Epidemiology -- Statistical methods; Epidemiology -- statistics & numerical data; Epidemiology -- Statistical methods; Electronic books
• Languages: English
• ISBNs: 9781420099928; 1420099922; 9781420099911; 1420099914; 1306135435; 9781306135436
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.