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This volume presents 27 selected papers in topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers that cover many topics so that the volume will serve the whole statistical community and a variety of research interests. The papers represent select contributions to the 21 st ICSA Applied Statistics Symposium. The International Chinese Statistical Association (ICSA) Symposium took place between the 23 rd and 26 th of June, 2012…mehr
This volume presents 27 selected papers in topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers that cover many topics so that the volume will serve the whole statistical community and a variety of research interests. The papers represent select contributions to the 21st ICSA Applied Statistics Symposium. The International Chinese Statistical Association (ICSA) Symposium took place between the 23rd and 26th of June, 2012 in Boston, Massachusetts. It was co-sponsored by the International Society for Biopharmaceutical Statistics (ISBS) and American Statistical Association (ASA). This is the inaugural proceedings volume to share research from the ICSA Applied Statistics Symposium.
This volume is presented by the International Chinese Statistical Association (ICSA).
Inhaltsangabe
Bayesian statistics in clinical trials.- High-dimensional data analysis: Survival analysis.- Adaptive designs.- Statistics in Business and Finance.- Biomarker analysis.- Statistical genetics and genomics.- Data mining and statistical learning.
Bayesian statistics in clinical trials.- High-dimensional data analysis: Survival analysis.- Adaptive designs.- Statistics in Business and Finance.- Biomarker analysis.- Statistical genetics and genomics.- Data mining and statistical learning.
Bayesian statistics in clinical trials.- High-dimensional data analysis: Survival analysis.- Adaptive designs.- Statistics in Business and Finance.- Biomarker analysis.- Statistical genetics and genomics.- Data mining and statistical learning.
Bayesian statistics in clinical trials.- High-dimensional data analysis: Survival analysis.- Adaptive designs.- Statistics in Business and Finance.- Biomarker analysis.- Statistical genetics and genomics.- Data mining and statistical learning.
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