Applied Mixed Models In Medicine Second Edition Helen Brown by Helen Brown, Robin Prescott(auth.), Stephen Senn(eds.) 9780470023563, 9780470023587, 0470023562, 0470023589 instant download after payment.

• Presents an overview of the theory and applications of mixed models in medical research, including the latest developments and new sections on bioequivalence, cluster randomised trials and missing data.
• Easily accessible to practitioners in any area where mixed models are used, including medical statisticians and economists.
• Includes numerous examples using real data from medical and health research, and epidemiology, illustrated with SAS code and output.
• Features new version of SAS, including the procedure PROC GLIMMIX and an introduction to other available software.
• Supported by a website featuring computer code, data sets, and further material, available at: http://www.chs.med.ed.ac.uk/phs/mixed/.

This much-anticipated second edition is ideal for applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The text will also be of great value to a broad range of scientists, particularly those working the medical and pharmaceutical areas.Content:
Chapter 1 Introduction (pages 1–32):
Chapter 2 Normal Mixed Models (pages 33–105):
Chapter 3 Generalised Linear Mixed Models (pages 107–152):
Chapter 4 Mixed Models for Categorical Data (pages 153–181):
Chapter 5 Multi?Centre Trials and Meta?Analyses (pages 183–213):
Chapter 6 Repeated Measures Data (pages 215–270):
Chapter 7 Cross?Over Trials (pages 271–310):
Chapter 8 Other Applications of Mixed Models (pages 311–399):
Chapter 9 Software for Fitting Mixed Models (pages 401–430):