Keynote Address (Monday Evening) K-1 (05:00 p.m.) Controversial Issues in Clinical Trials Tutorials (Monday 8:00 AM - Wednesday 12:00 noon) M-1 (08:00 a.m.) Dose Finding in Oncology Clinical Trials Based on Unit Probability Mass M-2 (09:00 a.m.) Implementing Response-Adaptive Randomization in Multi-Armed Survival Trials M-3 (10:10 a.m.) Evaluating Probability of Success in Oncology Clinical Trials M-4 (11:10 a.m.) Design and Analysis of a Cancer Prevention Trial: Plans and Results M-5 (01:30 p.m.) Comparing Conditional and Predictive Power to Assess Futility in a Phase III Program with Two Studies M-6 (02:30 p.m.) Setting Alpha Levels for Testing Key Secondary Endpoints in Trials with Interim Assessments When the Primary and Secondary Endpoints are Correlated M-7 (03:40 p.m.) Efficient Sampling of Inverse Correlation Matrices and its Applications in Bayesian Modelling of Gene Interaction in Early Phase Genomic Experiments T-1 (08:00 a.m.) The Mean Ain’t What It Used To Be T-2 (09:00 a.m.) Subgroup Data Analyses of Clinical Trials-Issues and Methods T-3 (10:10 a.m.) Analyses to Aid Dose Selectioni in Phase 2 Virology Clinical Trials T-4 (11:10 a.m.) Statistical Graphics for Exploratory Review and Reporting in Clinical Trials T-5 (01:30 p.m.) Statistical Assessment and Analyses of Suicidality Data in Clinical Trials – Current Challenges T-6 (02:30 p.m.) Using Statistical Principles to Implement FDA Guidance on Cardiovascular Risk Assessment for Diabetes Drugs W-1 (08:30 a.m.) Life-cycle Planning for Product Safety Evaluation in Support of Benefit-Risk Activities W-2 (09:30 a.m.) On Methodologies Associated with Meta-analysis W-3 (10:40 a.m.) Targeted Maximum Likelihood Super Learning: Application to Causal Effects in Safety Analysis Short Courses (Wednesday 1:00 PM -- Friday 12:00 noon) Recent Developments in Practical Bayesian Methods for Clinical Trials Bioequivalence and Statistics in Clinical Pharmacology Fundamental Training for Clinical Trial Statisticians |