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Applied Statistics in Biomedicine and Clinical Trials Design [electronic resource] : Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings / edited by Zhen Chen, Aiyi Liu, Yongming Qu, Larry Tang, Naitee Ting, Yi Tsong.

Contributor(s): Series: ICSA Book Series in StatisticsPublisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XXIV, 546 p. 107 illus., 35 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319126944
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 519.5 23
LOC classification:
  • QA276-280
Online resources:
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.
In: Springer eBooksSummary: 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.
Item type: eBooks
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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.

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.

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