Program - International Chinese Statistical Association
Program - International Chinese Statistical Association
Program - International Chinese Statistical Association
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ICSA 2010 SYMPOSIUM PROGRAM SCHEDULE−PARALLEL SESSIONS<br />
Tuesday, June 22<br />
1:30 p.m.–3:20 p.m.<br />
Regency A<br />
Session T21 Adaptive Clinical Trial Designs: Methods and Applications⎯Invited<br />
Organizer(s): Yanping Wang (Eli Lilly and Company), Chair(s): Luping Zhao (Eli Lilly and Company)<br />
A Sample of Adaptive Dose-Finding Case Studies⎯Brenda Gaydos (Eli Lilly and Company)<br />
Adaptive Sample Size Re-estimation in Randomized Clinical Trials⎯Cyrus Mehta (Cytel Inc)<br />
Bayesian Adaptive Trials in Practice⎯Jason Connor (Berry Consultants)<br />
Roles of Adaptive Design in Clinical <strong>Program</strong>⎯Jim Hung (FDA)<br />
Tuesday, June 22<br />
Concept AB<br />
1:30 p.m.–3:20 p.m.<br />
Session T22 Recent Developments in Dynamic Treatment Regime⎯Invited<br />
Organizer(s): Qi Long,Peng Zhang (Emory University), Chair(s): Peng Zhang (University of Michigan)<br />
<strong>Statistical</strong> Inference In Dynamic Treatment Regimes via Q-Learning⎯Eric Laber (University of Michigan)<br />
<strong>Statistical</strong> inference for treatment strategies from two-stage randomization designs when second<br />
randomization is delayed⎯Abdus Wahed (University of Pittsburgh)<br />
Support Vector Quantile Regression⎯Yair Goldberg (University of North Carolina at Chap)<br />
Discussion⎯James Robins (Harvard University)<br />
Tuesday, June 22<br />
Regency B<br />
1:30 p.m.–3:20 p.m.<br />
Session T23 Bayesian Models and Trial Simulations in Translational<br />
Pharmacometrics⎯Invited<br />
Organizer(s): Menggang Yu (Indiana University), Chair(s): Lang Li (Indiana University)<br />
Predicting Drug-Drug Interaction⎯Menggang Yu (Indiana University)<br />
A Novel Bayesian Markov Chain Monte Carlo (MCMC) Method for Nonlinear Pharmacokinetics<br />
Models⎯Seongho Kim (University of Louisville)<br />
Population pharmacokinetics as a means of capturing exposure magnitude and consistency⎯Robert Bies<br />
(Indiana University School of Medicine)<br />
A Personalized Drug Exposure Predictive Model Framework⎯Lang Li (Indiana University School of Medicine)<br />
Tuesday, June 22<br />
Concept CD<br />
1:30 p.m.–3:20 p.m.<br />
Session T24 Kernel density estimation, Wavelet, and some other Nonparametric<br />
estimation in time series, semimartingales, and Ultra-High Dimensional<br />
Additive Models.⎯Invited<br />
Organizer(s): Fuxia Cheng (Illinois State University), Chair(s): Fuxia Cheng (Illinois State University)<br />
On the jump activity index for semimartingales⎯Bingyi Jing (Hong Kong Univ. of Science & Technology)<br />
Rate-Optimal Wavelet Estimation of Mean Regression with Long Memory Infinite Moving Average<br />
Errors⎯Linyuan Li (University of New Hampshire)<br />
Asymptotic Properties for Lp-Norms of Error Density Estimators in Nonlinear Autoregressive Time Series<br />
Models⎯Shuxia Sun (Wright State University)<br />
Tuesday, June 22<br />
Network<br />
1:30 p.m.–3:20 p.m.<br />
Session T25 <strong>Statistical</strong> issues in analyzing emerging genomic data⎯Invited<br />
Organizer(s): Spencer Huang (Northwestern Univ), Chair(s): Pan Du (Northwestern Univ)<br />
The power of imputation using variants identified by the 1000 Genomes Project⎯Liming Liang (Harvard<br />
University)<br />
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