Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained volume, an outgrowth of an 'International Conference on Statistics in Health Sciences, ' covers a wide range of topics pertaining to new statistical methods in the health sciences. The chapters, written by leading experts in their respective fields, are thematically divided into the following areas: prognostic studies and general epidemiology, pharmacovigilance, quality of life, survival analysis, clustering, safety and efficacy assessment, clinical design, models for the environment, genomic analysis, and animal health. This comprehensive volume will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.The data from such studies give two ratings (e.g., answers to questions) on the same subject. The goal of these studies is to determine how well the ratings agree and to quantify their agreement as a way to assess the validity of measurement.
|Title||:||Advances in Statistical Methods for the Health Sciences|
|Author||:||Jean-Louis Auget, N. Balakrishnan, Mounir Mesbah, Geert Molenberghs|
|Publisher||:||Springer Science & Business Media - 2007-08-08|