Applied Statistics in Biomedicine and Clinical Trials Design (eBook)

Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings

Zhen Chen, Aiyi Liu, Yongming Qu, Larry Tang, Naitee Ting, Yi Tsong (Herausgeber)

eBook Download: PDF

2015 | 2015
XXIV, 546 Seiten
Springer International Publishing (Verlag)
978-3-319-12694-4 (ISBN)

Infos

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.

Inhalt

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.

Produkt-Details

• Erscheint lt. Verlag: 4.5.2015
• Reihe/Serie: ICSA Book Series in Statistics
• Reihe/Serie: ICSA Book Series in Statistics
• Zusatzinfo: XXIV, 546 p. 107 illus., 35 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Medizin / Pharmazie
• Themenwelt: Technik
• Schlagworte: Bayesian statistics in clinical trials • Clinical trials design • diagnostic medicine • High-dimensional data mining and analysis • Innovative clinical designs • Modeling and data analysis • Personalized medicine • Statistical genetics • Statistical genomics • Statistics biomedical research • Statistics biomedicine
• ISBN-10: 3-319-12694-6 / 3319126946
• ISBN-13: 978-3-319-12694-4 / 9783319126944