Applied Statistics in Biomedicine and Clinical Trials Design

Applied Statistics in Biomedicine and Clinical Trials Design

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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.Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings Zhen Chen, Liu Aiyi, Yongming Qu, Larry Tang, Naitee ... Specifically, the test statistic is given by T = ( I„X1 aˆ’ I„X2)(S21/n1 + S22/n2)aˆ’1/2, where I„Xi, S2i, and ni, i = 1, 2, are the ith ... The fitting prior is used to perform Bayesian analysis once data are collected.


Title:Applied Statistics in Biomedicine and Clinical Trials Design
Author: Zhen Chen, Liu Aiyi, Yongming Qu, Larry Tang, Naitee Ting, Yi Tsong
Publisher:Springer - 2015-05-04
ISBN-13:

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