Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics : Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins

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ISBN 10: 3319826107 / ISBN 13: 9783319826103

Edité par Springer International Publishing, 2018

A propos de cet article

Zustand: Hervorragend | Seiten: 376 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 29464063/1

Détails bibliographiques

• Titre: Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics : Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins
• Éditeur: Springer International Publishing
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3319826107
• ISBN à 13 chiffres: 9783319826103
• Reliure: Couverture souple
• État de l'article: Hervorragend
• Catalogues du vendeur:
  • Bücher

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Synopsis

Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics

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.