An introduction to state-of-the-art experimental designapproaches to better understand and interpret repeated measurementdata in cross-over designs.
Repeated Measurements and Cross-Over Designs
Features the close tie between the design, analysis, andpresentation of resultsPresents principles and rules that apply very generally to mostareas of research, such as clinical trials, agriculturalinvestigations, industrial procedures, quality control procedures, and epidemiological studiesIncludes many practical examples, such as PK/PD studies in thepharmaceutical industry, k-sample and one sample repeatedmeasurement designs for psychological studies, and residualeffects of different treatments in controlling conditions such asasthma, blood pressure, and diabetes.Utilizes SAS(R) software to draw necessary inferences. All SAS output and data sets are available via the book's relatedwebsite.This book is ideal for a broad audience including statisticiansin pre-clinical research, researchers in psychology, sociology, politics, marketing, and engineering.