Applied statistics in biomedicine and clinical trials design : selected papers from 2013 ICSA/ISBS Joint Statistical Meetings /

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Bibliographic Details
Meeting name:Applied Statistics Symposium (22nd : 2013 : Bethesda, Md.)
Imprint:Cham : Springer, 2015.
Description:1 online resource : color illustrations.
Language:English
Series:ICSA Book Series in Statistics, 2199-0980
ICSA book series in statistics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11093715
Hidden Bibliographic Details
Other authors / contributors:Chen, Zhen, editor.
ISBN:9783319126944
3319126946
3319126938
9783319126937
9783319126937
Digital file characteristics:text file PDF
Notes:International conference proceedings.
Includes bibliographical references.
Online resource; title from PDF title page (EBSCO, viewed May 15, 2015).
Summary:This volume is a unique combination of papers that cover critical topics in biostatistics from academic, government, and industry perspectives. The six 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.
Other form:Printed edition: 9783319126937
Standard no.:10.1007/978-3-319-12694-4
Table of Contents:
  • 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.