An Introduction To Optimal Designs For Social And Biomedical Research Martijn P F Berger by Martijn P. F. Berger, Weng Kee Wong(auth.) 9780470694503, 9780470746912, 0470694505, 0470746912 instant download after payment.

The objectives of a good design are to provide interpretable and accurate inference at minimal costs. Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on the model assumptions.

This Book:

• Introduces optimal experimental design in an accessible format.
• Provides guidelines for practitioners to increase the efficiency of their designs, and demonstrates how optimal designs can reduce a study’s costs.
• Discusses the merits of optimal designs and compares them with commonly used designs.
• Takes the reader from simple linear regression models to advanced designs for multiple linear regression and nonlinear models in a systematic manner.
• Illustrates design techniques with practical examples from social and biomedical research to enhance the reader’s understanding.

Researchers and students studying social, behavioural and biomedical sciences will find this book useful for understanding design issues and in putting optimal design ideas to practice. Content:
Chapter 1 Introduction to Designs (pages 1–26):
Chapter 2 Designs for Simple Linear Regression (pages 27–49):
Chapter 3 Designs for Multiple Linear Regression Analysis (pages 51–85):
Chapter 4 Designs for Analysis of Variance Models (pages 87–111):
Chapter 5 Designs for Logistic Regression Models (pages 113–141):
Chapter 6 Designs for Multilevel Models (pages 143–174):
Chapter 7 Longitudinal Designs for Repeated Measurement Models (pages 175–211):
Chapter 8 Two?Treatment Crossover Designs (pages 213–236):
Chapter 9 Alternative Optimal Designs for Linear Models (pages 237–255):
Chapter 10 Optimal Designs for Nonlinear Models (pages 257–275):
Chapter 11 Resources for the Construction of Optimal Designs (pages 277–294):