Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics: Selected Papers from the 2015 ICSA/Graybill . Fort Collins (ICSA Book Series in Statistics). Cet article n’est pas disponible.
Langue : anglais
Edité par Springer, 2018
- Livre broché
- Neuf
Vendeur : Books Puddle, Woodside, NY, Etats-UnisBooks Puddle
Vendeur AbeBooks depuis 22 novembre 2018
Etat: Neuf
EUR 345,32
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pp. 374.
N° de réf. du vendeur 26380421685
- Titre
- Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics: Selected Papers from the 2015 ICSA/Graybill . Fort Collins (ICSA Book Series in Statistics)
- Éditeur
- Springer
- Année de publication
- 2018
- État de l'article
- New
- Reliure
- Couverture souple
- Langue
- anglais
- ISBN à 10 chiffres
- 3319826107
- ISBN à 13 chiffres
- 9783319826103
- Série
- Livre 6 sur 19: ICSA Book Series in Statistics
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
Jianchang Lin, Ph.D., is Principal Statistician at Takeda Pharmaceuticals, with extensive experience in oncology drug clinical development, including leading successful NDA/MAA submissions and worldwide drug approvals. Dr. Lin's research interests include Bayesian methodologies, survival analysis and Bayesian adaptive designs, and their application in clinical trials.
Bushi Wang, Ph.D., is a biostatistician at Boehringer Ingelheim Pharmaceuticals, Inc. He researches clinical trials across different therapeutic areas and different phases, largely focusing on late stage oncology and cardiovascular trials, supporting approval. He is co-founder of the Multiple Comparison Procedures Society, a .U.S organization supporting the international MCP conferences.
Xiaowen Hu, Ph.D., is Assistant Professor in the Department of Statistics, Colorado State University. Her research interests include spatial analysis, time series analysis, Bayesian analysis, and statistical analysis in business and empirical finance.
Kun Chen, Ph.D., is Assistant Professor in the Department of Statistics, University of Connecticut. His research interests include multivariate analysis, dimension reduction, robust statistics, statistical computing and their broad applications in ecology, genetics, public health, and other areas of applied statistics.
Ray Liu, Ph.D., is Head of the Statistical Innovation and Consultation Center at Takeda Pharmaceuticals, Inc. His research interests include design and analysis of omics studies, integrated analysis, and text mining.
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