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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Bibliographic Details
Corporate Authors: International Chinese Statistical Association. Symposium; SpringerLink (Online service)
Group Author: Hu, Mingxiu; Liu, Yi; Lin, Jianchang, 1983-
Published: Springer,
Publisher Address: New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Springer proceedings in mathematics & statistics ; v.55
Subjects:
Online Access: http://dx.doi.org/10.1007/978-1-4614-7846-1
Summary: 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 to share research from the ICSA Applied Statistics Symposium. The volume consists of 27 selected papers from 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 as broad as possible to serve the whole statistical community and the vast variety in research interests.
Carrier Form: 1 online resource (xvii, 256 pages) : illustrations (some color).
ISBN: 9781461478461 (electronic bk.)
1461478464 (electronic bk.)
Index Number: QA276
CLC: O212-532
Contents: Applications in Business and Finance.
Constructing and Evaluating an Autoregressive House Price Index /
On Portfolio Allocation: A Comparison of Using Low-Frequency and High-Frequency Financial Data /
Applications of Functional Dynamic Factor Models /
Mixed Modeling for Physician-Direct Campaigns /
Uplift Modeling Application and Methodology in Database Marketing /
Biomarker Analysis and Personalized Medicine.
Designing Studies for Assessing Efficacy in Mixture Populations /
Estimating Subject-Specific Treatment Differences for Risk-Benefit Assessment with Applications to Beta-Blocker Effectiveness Trials /
Missing Data in Principal Surrogacy Settings /
Assessment of Treatment-Mediated Correlation Between a Clinical Endpoint and a Biomarker /
Biomarker Selection in Medical Diagnosis /
Bayesian Statistics in Clinical Trials.
Safety Concerns of the 3+3 Design: A Comparison to the mTPI Design /
Bayesian Interim Inference of Probability of Clinical Trial Success /
Bayesian Survival Analysis Using Log-Linear Median Regression Models /
Bayesian Analysis of Survival Data with Semi-competing Risks and Treatment Switching /
High Dimensional Data Analysis and Statistical Genetics.
High-Dimensional Ordinary Differential Equation Models for Reconstructing Genome-Wide Dynamic Regulatory Networks /
Kernel Methods for Regression Analysis of Microbiome Compositional Data /
A Conditional Autoregressive Model for Detecting Natural Selection in Protein-Coding DNA Sequences /
Dimension Reduction for Tensor Classification /
Successive Standardization: Application to Case-Control Studies /
Survival Analysis.
Quantification of PFS Effect for Accelerated Approval of Oncology Drugs /
Integrative Analysis of Multiple Cancer Prognosis Datasets Under the Heterogeneity Model /
Safety and Risk Analysis.
On Analysis of Low Incidence Adverse Events in Clinical Trials /
Statistical Power to Detect Cardiovascular Signals in First-in-Human Trials: Is It Really Small? /
Longitudinal and Spatial Data Analysis.
Constructing Conditional Reference Charts for Grip Strength Measured with Error /
Hierarchical Bayesian Analysis of Repeated Binary Data with Missing Covariates /
Multi-Regional Clinical Trials.
Use of Random Effect Models in the Design and Analysis of Multi-regional Clinical Trials /
In Vitro Drug Combination Studies.
Experimental Design for In Vitro Drug Combination Studies /