### 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”