Sunday, April 21, 2013

Best Cross-over Trials in Clinical Research (Statistics in Practice)



Cross-over Trials in Clinical Research (Statistics in Practice) by Wiley




Cross-over trials are an important class of design used in the pharmaceutical industry and medical research, and their use continues to grow. Cross-over Trials in Clinical Research, Second Edition has been fully updated to include the latest methodology used in the design and analysis of cross-over trials. It includes more background material, greater coverage of important statistical techniques, including Bayesian methods, and discussion of analysis using a number of statistical software packages.
* Comprehensive coverage of the design and analysis of cross-over trials.

* Each technique is carefully explained and the mathematics is kept to a minimum.

* Features many real and original examples, taken from the author's vast experience.

* Includes discussion of analysis using SAS, S-Plus and, GenStat, StatXact and Excel.

* Written in a style suitable for statisticians and physicians alike.

* Computer programs to accompany the examples in the book can be downloaded from the Web


Primarily aimed at statisticians and researchers working in the pharmaceutical industry, the book will also appeal to physicians involved in clinical research and students of medical statistics.Read more Cross-over Trials in Clinical Research (Statistics in Practice)

Cross-over Trials in Clinical Research (Statistics in Practice) Feature

Similar cross-over-trials-in-clinical-research-statistics-in-practice


  • Design and Analysis of Cross-Over Trials, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
  • Statistical Issues in Drug Development (Statistics in Practice)
  • Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)
  • Design and Analysis of Bioavailability and Bioequivalence Studies, Third Edition (Chapman & Hall/CRC Biostatistics Series)
  • Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics)



  • No comments:

    Post a Comment