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Applied Statistics in Biomedicine and Clinical Trials Design: Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings /

Applied Statistics in Biomedicine and Clinical Trials Design: Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings /
Catalogue Information
Field name Details
Dewey Class 519.5
Title Applied Statistics in Biomedicine and Clinical Trials Design ([EBook]) : Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings / / edited by Zhen Chen, Aiyi Liu, Yongming Qu, Larry Tang, Naitee Ting, Yi Tsong.
Added Personal Name Chen, Zhen editor.
Liu, Aiyi editor.
Qu, Yongming editor.
Tang, Larry editor.
Ting, Naitee editor.
Tsong, Yi editor.
Other name(s) SpringerLink (Online service)
Publication Cham : : Springer International Publishing : : Imprint: Springer, , 2015.
Physical Details XXIV, 546 p. 107 illus., 35 illus. in color. : online resource.
Series ICSA Book Series in Statistics 2199-0980
ISBN 9783319126944
Summary Note 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.:
Contents note 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.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-3-319-12694-4
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