Invited Sessions
- Morning sessions sponsored by DataCamp
- Afternoon sessions sponsored by Travelers Insurance
Invited sessions will take place in the UMass Campus Center (CC).
Morning sessions
1. New Developments in the Design, Monitoring and Analysis of Cluster-Randomized Trials
Location: CC 917
Organizer and Chair: Rui Wang, Harvard Medical School, Boston, MA
- Andrea Troxel, Department of Population Health, NYU School of Medicine
“Biomarker Selection for Treatment Decision Rules” - Fan Li, Department of Biostatistics and Bioinformatics, Duke University
“Sample Size Determination for GEE Analyses of Stepped Wedge Cluster Randomized Trials” - Kaitlyn Cook, Department of Biostatistics, Harvard T.H. Chan School of Public Health
“Conditional Power Calculation for the Interim Monitoring of Cluster-Randomized Trials with Interval-Censored Endpoints” - Kenneth Kleinman, Department of Biostatistics and Epidemiology, UMass-Amherst
“Bootstrap Power Calculation for Cluster-Randomized Trials”
2. Statistical Dependence Modeling and Inference
Location: CC 803
Organizer and Chair: Daeyoung Kim, Department of Mathematics and Statistics, UMass-Amherst
- Ramesh Gupta, Department of Mathematics and Statistics, University of Maine
“Assocation Measure and Bivariate Frailty Model” - Randy Lai, Department of Mathematics and Statistics, University of Maine
“Generalized Fiducial Inference for Gaussian Copula” - Zheng Wei, Department of Mathematics and Statistics, University of Maine
“On Multivariate Asymmetric Dependence via Skew Normal Copula Based Regression” - Daeyoung Kim, Department of Mathematics and Statistics, UMass-Amherst
“Analysis of Asymmetric Dependence in Contingency Tables: Subcopula-based Regression Approach”
3. Modern Methods for Semi-Parametric Regression
Location: CC 804
Organizer and Chair: Daniel Eck, Department of Biostatistics, Yale University
- Zhihua Su, Department of Statistics, University of Florida
“Expectile Envelope Regression” - Yuwen Gu, Department of Statistics, University of Connecticut
“Heterogeneity Detection in High-Dimensional Data via Asymmetric Least Squares” - Adam Maidman, Department of Statistics, University of Minnesota
“New Semiparametric Method for Predicting High-Cost Patients” - Bodhisattva Sen, Department of Statistics, Columbia University
“Nonparametric Shape-Restricted Regression”
4. Recent Development of Statistical Methods for Biomarker Assessment and Risk Predication
Location: CC 805
Organizer and Chair: Jing Qian, Department of Biostatistics and Epidemiology, UMass-Amherst
- Molin Wang, Department of Epidemiology and Department of Biostatistics, Harvard T.H. Chan School of Public Health
“Design and analysis considerations for studies involving pooled biomarker data” - Nina Paynter, Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School
“Risk Prediction in Cardiovascular Disease: From Populations to Personalization” - Kun Chen, Department of Statistics, University of Connecticut
“Sparse Log-Contrast Regression with Functional Compositional Predictors” - Jing Qian, Department of Biostatistics and Epidemiology, UMass-Amherst
“Estimating the Receiver Operating Characteristic Curve in Matched Case Control Studies”
5. Student Paper Competition Finalists
Location: CC 903
Organizer and Chair: Patrick Flaherty, Department of Mathematics and Statistics, UMass-Amherst
- Yishu Xue, Department of Statistics, University of Connecticut
“An Online Updating Approach for Testing the Proportional Hazards Assumption with Streams of Big Survival Data” - Aya Mitani, Department of Biostatistics, Boston University
“Marginal analysis of ordinal clustered longitudinal data with informative cluster size” - Thibaut Horel, School of Engineering and Applied Sciences, Harvard University
“Stable Robbins-Monro Approximations Through Stochastic Proximal Updates” - Boqin Sun, Department of Mathematics and Statistics, UMass-Amherst
“Quantile Regression for Survival Data with Delayed Entry” - Julia Wrobel, Department of Biostatistics, Columbia University
“Registration for Exponential Family Functional Data” - Tom Chen, Department of Biostatistics, Harvard T.H. Chan School of Public Health
“Linear Mixed Models With Fleishman-Distributed Variance Components”
Afternoon sessions
1. New Statistical Methods in Phylogenetics
Location: CC 805
Organizer and Chair: Arindam RoyChoudhury, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Cornell University
- Arindam RoyChoudhury, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Cornell University
“Likelihood Estimation of Large Species Trees from Multiple Samples per Species, Using the Coalescent Process” - Kenneth Hoehn, Department of Pathology, Yale University
“Phylogenetics of B cell receptors during infection” - J. Nick Fisk, Department of Biostatistics, Yale University
“Phylogenetic Experimental Design and Phylogenomic Data Exploration in R” - Jeffrey Townsend, Department of Biostatistics, Yale University
“Shannon Information Collapse for Phylogenetic Experimental Design”
2. Statistical Methods in Remote Sensing Applications
Location: CC 917
Organizer and Chair: Beth Ziniti, Applied GeoSolutions, LLC
- Paulo Arevalo, Department of Earth and Environment, Boston University
“Land Cover Mapping and Area Estimation Using Landsat Time Series in the Colombian Amazon” - Ryan Frost, Department of Mathematics and Statistics, Boston University
“Mapping Land Reflectance with Bayesian Dynamic Models” - Xiaodong Huang, Applied GeoSolutions, LLC
“A Supervised Binary-Tree Classifications Approach Using Multi-Temporal Polarimetric RADARSAT-a Imagery” - Jiwei Li, Qian Yu, Department of Geosciences, UMass-Amherst
“A K-Means Clustering Based Quick Algorithm on Remote Sensing of Shallow Water Bio-Optical Properties” - Gavino Puggioni, Department of Computer Science, University of Rhode Island
“Discussant”
3. Modern Methods for Missingness
Location: CC 804
Organizer and Chair: Laura Balzer, Department of Biostatistics, UMass-Amherst
- Andrea Foulkes, Department of Mathematics and Statistics, Mount Holyoke College
“Integrating Big Data Resources in Biomedicine: Framing as a Missing Data Problem” - Mireille Schnitzer, Faculty of Pharmacy, University of Montreal
“Methodological Considerations for the Analysis of Fused Observational Studies When not All Treatments are Observed in All Studies” - Leontine Alkema, Department of Biostatistics and Epidemiology, UMass-Amherst
“Bayesian Approaches to Estimating and Forecasting Mortality Indicators Worldwide: Recent Developments and Future Opportunities” - Karthika Mohan, Department of Computer Science, University of California - Berkeley
“Missing Data as a Causal Inference Problem” - Laura Balzer, Department of Biostatistics and Epidemiology, UMass-Amherst
“Discussion”
4. Statistical Methods for Large-Scale and High-Dimensional Data
Location: CC 803
Organizer and Chair: Erin Conlon, Department of Mathematics and Statistics, UMass-Amherst
- Elizabeth Schifano, Department of Statistics, University of Connecticut
“Online Updating Method with New Variables for Big Data Streams” - Yuping Zhang, Department of Statistics, University of Connecticut
“Joint Principal Trend Analysis for Longitudinal High-Dimensional Data” - Zhengqing Ouyang, The Jackson Laboratory for Genomic Medicine
“Statistical Approach for 3D Genome Structure Reconstruction” - Zheng Wei, Department of Mathematics and Statistics, University of Maine
“Parallel Markov Chain Monte Carlo for Bayesian Dynamic Item Response Models in Educational Testing”
5. Considerations for Applying Mixed Models
Location: CC 903
Organizer and Chair: Krista Gile, Department of Mathematics and Statistics, UMass-Amherst
- Patrick Flaherty, Department of Mathematics and Statistics, UMass-Amherst
“A Global Optimization Algorithm for Sparse Mixed Membership Matrix Factorization” - Anna Liu, Department of Mathematics and Statistics, UMass-Amherst
“Smoothing Spline Mixed-Effects Density Models for Clustered Data” - Michael Lavine, Department of Mathematics and Statistics, UMass-Amherst
“Finding Regions of High Likelihood in Linear Mixed Models” - Krysztof Sakredja, Department of Biostatistics and Epidemiology, UMass-Amherst
“Regularized Spatial Predictions for Public Health Statistics”