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 results
* Presents principles and rules that apply very generally to mostareas of research, such as clinical trials, agriculturalinvestigations, industrial procedures, quality control procedures,and epidemiological studies
* Includes 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.
Damaraju Raghavarao
Control Process & Measurements Experimental Design Maschinenbau Mechanical Engineering Mess- u. Regeltechnik Statistical Software / SAS Statistics Statistik Statistiksoftware / SAS Versuchsplanung