Topics in applied statistics 2012 Symposium of International Chinese Statistical Association /

The 21st ICSA Applied Statistics Symposium took place between the 23rd and 26th of June, 2012 in Boston, Massachusetts. The Symposium was co-sponsored by the International Society for Biopharmaceutical Statistics (ISBS) and American Statistical Association (ASA). This is the first proceedings volume...

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Other Authors: Hu, Mingxiu,, Liu, Yi,, Lin, Jianchang, 1983-, International Chinese Statistical Association. Symposium
Format: eBook
Language: English
Published: New York : Springer, 2013.
Physical Description: 1 online resource.
Series: Springer proceedings in mathematics & statistics ; v. 55.
Subjects:
Table of Contents:
  • Applications in Business and Finance.
  • Constructing and Evaluating an Autoregressive House Price Index /
  • Chaitra H. Nagaraja and Lawrence D. Brown
  • On Portfolio Allocation: A Comparison of Using Low-Frequency and High-Frequency Financial Data /
  • Jian Zou and Hui Huang
  • Applications of Functional Dynamic Factor Models /
  • Spencer Hays, Haipeng Shen and Jianhua Z. Huang
  • Mixed Modeling for Physician-Direct Campaigns /
  • Wei Huang and Lynda S. Gordon
  • Uplift Modeling Application and Methodology in Database Marketing /
  • Junjun Yue.
  • Biomarker Analysis and Personalized Medicine.
  • Designing Studies for Assessing Efficacy in Mixture Populations /
  • Szu-Yu Tang, Eloise Kaizar and Jason C. Hsu
  • Estimating Subject-Specific Treatment Differences for Risk-Benefit Assessment with Applications to Beta-Blocker Effectiveness Trials /
  • Brian Claggett ... et al.
  • Missing Data in Principal Surrogacy Settings /
  • Michael R. Elliott, Yun Li and Jeremy M.G. Taylor
  • Assessment of Treatment-Mediated Correlation Between a Clinical Endpoint and a Biomarker /
  • Peter H. Hu
  • Biomarker Selection in Medical Diagnosis /
  • Man-Jen Hsu, Yuan-Chin Ivan Chang and Huey-Miin Hsueh.
  • Bayesian Statistics in Clinical Trials.
  • Safety Concerns of the 3+3 Design: A Comparison to the mTPI Design /
  • Yuan Ji and Sue-Jane Wang
  • Bayesian Interim Inference of Probability of Clinical Trial Success /
  • Ming-Dauh Wang and Grace Ying Li
  • Bayesian Survival Analysis Using Log-Linear Median Regression Models /
  • Jianchang Lin ... et al.
  • Bayesian Analysis of Survival Data with Semi-competing Risks and Treatment Switching /
  • Yuanye Zhang ... et al.
  • High Dimensional Data Analysis and Statistical Genetics.
  • High-Dimensional Ordinary Differential Equation Models for Reconstructing Genome-Wide Dynamic Regulatory Networks /
  • Shuang Wu ... et al.
  • Kernel Methods for Regression Analysis of Microbiome Compositional Data /
  • Jun Chen and Hongzhe Li
  • A Conditional Autoregressive Model for Detecting Natural Selection in Protein-Coding DNA Sequences /
  • Yu Fan ... et al.
  • Dimension Reduction for Tensor Classification /
  • Peng Zeng and Wenxuan Zhong
  • Successive Standardization: Application to Case-Control Studies /
  • Bala Rajaratnam ... et al.
  • Survival Analysis.
  • Quantification of PFS Effect for Accelerated Approval of Oncology Drugs /
  • Cong Chen and Linda Z. Sun
  • Integrative Analysis of Multiple Cancer Prognosis Datasets Under the Heterogeneity Model /
  • Jin Liu, Jian Huang and Shuangge Ma
  • Safety and Risk Analysis.
  • On Analysis of Low Incidence Adverse Events in Clinical Trials /
  • G. Frank Liu
  • Statistical Power to Detect Cardiovascular Signals in First-in-Human Trials: Is It Really Small? /
  • Ouhong Wang, Mike Hale and Jing Huang
  • Longitudinal and Spatial Data Analysis.
  • Constructing Conditional Reference Charts for Grip Strength Measured with Error /
  • Pedro A. Torres, Daowen Zhang and Huixia Judy Wang
  • Hierarchical Bayesian Analysis of Repeated Binary Data with Missing Covariates /
  • Fang Yu ... et al.
  • Multi-Regional Clinical Trials.
  • Use of Random Effect Models in the Design and Analysis of Multi-regional Clinical Trials /
  • Yuh-Jenn Wu ... et al.
  • In Vitro Drug Combination Studies.
  • Experimental Design for In Vitro Drug Combination Studies /
  • Gregory Hather, Huaihou Chen and Ray Liu.