Applied Statistics in Biomedicine and Clinical Trials Design

This volume is a unique combination of papers that cover critical topics in biostatistics from academic, government, and industry perspectives. The 6 sections cover Bayesian methods in biomedical research; Diagnostic medicine and classification; Innovative Clinical Trials Design; Modelling and Data Analysis; Personalized Medicine; and Statistical Genomics. The real world applications are in clinical trials, diagnostic medicine and genetics. The peer-reviewed contributions were solicited and selected from some 400 presentations at the annual meeting of the International Chinese Statistical Association (ICSA), held with the International Society for Biopharmaceutical Statistics (ISBS). The conference was held in Bethesda in June 2013, and the material has been subsequently edited and expanded to cover the most recent developments.

Separated into 6 parts that cover Bayesian Methods in Biomedical Research, Diagnostic Medicine, Innovative Clinical Trials Design, Modelling and Data Analysis, Personalized Medicine, Statistical Genomics Covers cutting edge methodology with high-dimensional data analysis, survival data, data mining, analysis of clinical trials, and risk Showcases research from the ICSA and ISBS that is contributed by members and non-members from the US and abroad Includes supplementary material: sn.pub/extras

Contenu

Bayesian Methods in Biomedical Research.- Diagnostic Medicine and Classification.- Innovative Clinical Trials Design and Analysis.- Modeling and Data Analysis.- Personalized Medicine.- Statistical Genomics and High-Dimensional Data Analysis.