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COVID-19 in Middle East and North Africa (MENA) Countries: The Influence of Cultural Factors, Population Density, and Life Expectancy

Thursday, Oct 7

Wanchunzi Yu – Bridgewater State University

Xiangrong Liu – Bridgewater State University

Evaluation of imputation Techniques with Varying Percentage of Missing Data

Wednesday, Feb 2

Seema Sangari – Kennesaw State University

Herman E. Ray – Kennesaw State University

Practical Impact of Sample Sizes for Auditing

Wednesday, Feb 2

Zachary Rhyne – Ryan, LLC

A Brief Review of Blockchain Technology and Impact on Practice of Data Science

Wednesday, May 25

David Han – The University of Texas at San Antonio

Nathan Kim – The University of Texas at San Antonio

Forecasting Hierarchical Time Series

Wednesday, May 25

Seema Sangari – Kennesaw State University

Xinyan Zhang – Kennesaw State University

Use of Process Crowding in Conditional WGAN for Remaining Process Events Prediction

Wednesday, May 25

Yoann Valero – Université de Technologie de Troyes / Your Data Consulting

Frédéric Bertrand – Université de Technologie de Troyes

Myriam Maumy – Université de Technologie de Troyes

Biometrics Section (6)

Monitoring Sequential Structural Changes in Penalized High-Dimensional Linear Models

Suthakaran Ratnasingam – California State University, San Bernardino

Alternative Test Procedures for Testing Homogeneity of the Risk Difference in Multiple Comparative Trials

Krishna Saha – Central Connecticut State University

The PADAG App: Power Analysis and Data Augmentation with Patients Missing Genotypic Data for Precision Medicine

Wei Zhuang – FDA

A Small-Sample Correction to Simultaneous Confidence Intervals of Odds Ratios

Bo Li – The Citadel, The Military College of South Carolina

Comparison of Test Statistics for Testing the Regression Coefficients in the OLS, Ridge, Liu, and Kibria-Lukman Linear Regression Model: A Simulation Study

Sergio Perez-Melo – Florida International University

Geographical Information Science (GIS) Applications for Critical Record Identification

Turkan K. Gardenier – Teka Trends, Inc.

Biopharmaceutical Section (12)

Generalized Conditional Power for Correlated Continuous Co-Primary Endpoints

Zejiang Yang – Syneos Health

Matched Cohorts Applied Propensity Scores Inverse Probability of Weighting: The Association Between Home-Based Primary Care in Dementia Patients and Their Hospital Utilization

In-Lu Amy Liu – Kaiser Permanente

Borrowing Information of a Biomarker Endpoint for Planning a Phase III Study

Hui Quan – Sanofi

Network Analysis of RNA Sequence Data

Kao-Tai Tsai – BMS

An Exact Confidence Interval of Observed Proportion with Stratified Factors

Ruji Yao – Merck & Co., Inc.

Randomization-Based Methods for Covariance and Stratified Adjustment of Win Ratios and Win Odds for Ordinal Outcomes

Ann Marie Weideman – University of North Carolina at Chapel Hill

Statistical Comparison of Waterfall Plots in Oncology Drug Development

Mo Huang – Merck & Co., Inc.

Representation Learning with Gaussian Processes in Sparse Irregularly Sampled Longitudinal Metabolomics

Allen Ross – George Washington University

Definition of Missing Value Within Estimand Framework: A Source for Confusion in the Statistical Practice

Ulker Aydemir – Syneos Health

Dose-Finding via Efficacy Biomarkers and Toxicity Endpoints in Immuno-Oncology Clinical Trials

Yiding Zhang – Sanofi

A Case Study of 2-Stage Seamless Adaptive Sample Size Re-Estimation Design with Efficacy Interim Analysis When Slope Is the Primary Endpoint

Wednesday, Sep 21

Qi Zhang – Sanofi US Services Inc.

Yuqian Shen – Sanofi US Services Inc.

Hui Quan – Sanofi

Pascal Minini – Sanofi US Services Inc.

Lin Wang – Sanofi US Services Inc.

Generalizing Treatment Effect to a Target Population with a Data-Matching Approach, However Without Individual Patient Data

Wednesday, Sep 21

Hui Quan – Sanofi

Tong Li – Sanofi

Xun Chen – Sanofi

Gang Li – Eisai

Business and Economic Statistics Section (9)

Network Analysis of Contagion Between Large Number of Financial Entities

Rituparna Sen – Indian Statistical Institute

Forecasting the FOMC's Longer Run Forecasts

Jaime Marquez – Johns Hopkins University

The Inequality Process (IP) as Statistical Mechanics: How the IP’s Internal Model Enables Gauge Symmetry, Frame Independence, and the Search for the IP's Lagrangian Analogue

John Angle – The Inequality Process Institute LLC

Bagging and Boosting-Based Convexly Combined Multivariate Mixture Models: Models Better Than EM-Based Mixture Models

Silvey Shamsi – Ball State University

Simulation-Based Inference for Markov Switching Models

Gabriel Rodriguez Rondon – McGill University

Towards Seasonal Adjustment of Infra-Monthly Time Series with JDemetra+

Anna Smyk – French National Institute for Statistics (Insee)

New Methods in Time-Use Data Collection

Sophia Arabadjis – University of California Santa Barbara

A Generalization to Time-Varying Integer GARCH Model

Isuru Ratnayake – Kansas University Medical Center

The Multiplicative Factor Multi-Frequency Exponential GARCH ((MF)2 EGARCH)

Anjana Yatawara – Missouri University of Science and Technology

Caucus for Women in Statistics (1)

Breast Cancer Risk Prediction Using Both Genetic and Lifestyle Information

Lynn Tao – TJHSST

Caucus for Women in Statistics

Committee on Energy Statistics (1)

Rotating Panels for the Commercial Buildings Energy Consumption Survey: A Simulation Study

Michael Winkler – U.S. Energy Information Administration

Committee on Energy Statistics

Conference on Statistical Practice Steering Committee (1)

Ethical Considerations for Data Involving Human Gender and Sex Variables

Suzanne Thornton – Swarthmore College

Conference on Statistical Practice Steering Committee

ENAR (2)

High-Dimensional Generalized Linear Models with and Without Dimension-Reduction Techniques

Mian Arif Shams Adnan – Bowling Green State University

ENAR

Comparing Analytic Approaches in Clinical Trials of Early Alzheimer's Disease

Craig Mallinckrodt – Cortexyme

ENAR

Government Statistics Section (13)

Compiling, Enumerating, and Estimating: Evaluating the 2020 Administrative Records Repository

John Boies – US Census Bureau

Profiling 2020 Census Mailings That Were Returned with Undeliverable-as-Addressed Status

Aliza Kwiat – US Census Bureau

Sample Design Research in the Annual Survey of Public Employment and Payroll in the Government Surveys of the U.S. Census Bureau

Peter Schilling – U.S. Census Bureau

Modification to the Current Employment Statistics (CES) Birth / Death Methodology to Improve State and Area Employment Estimates During the Coronavirus Pandemic

Daniel McGregor – Equal Employment Opportunity Commission

Adaptive Sampling for Social Surveys at Statistics Flanders

Luca Carlini – IRCCS Istituto Giannina Gaslini

On the Inclusion of Natural Resources in the Input-Output Model

Luis Frank – Universidad de Buenos Aires

Determining the Goals and Effectiveness of the Consumer Expenditure Survey's Calibration Procedure

Brian Nix – Bureau of Labor Statistics

Evaluation of Estimation Methods for an Area Survey

Denise Abreu – National Agricultural Statistics Service

Pattern Mixture Weighted GEE Models for Survey Nonresponses

Ming Ji – University of South Florida

A Comparison of Outlier Editing Methods for Establishment Measures of Size

Jacob Sandruck – U.S. Census Bureau

Analysis of Quarterly Revisions of Fixed Quantity Consumer Price Index Products

Joshua Klick – Bureau of Labor Statistics

Inference Using Non-Probability Samples from a Demographic Survey

Giang B. Trinh – U.S. Census Bureau

Searching for More Effective Variables to Use in a Household Survey’s Nonresponse Adjustment Procedure

Lauren Vermeer – Bureau of Labor Statistics

Health Policy Statistics Section (2)

A Novel Functional Data Analysis Approach to Modeling Longitudinal Changes in Physical Activity Patterns

Jingjing Zou – University of California at San Diego

Health Policy Statistics Section

A Machine Learning Solution for Predicting Surgical Case Duration in a Multi-Hospital Health System

Eric Hixson – Cleveland Clinic

Health Policy Statistics Section

IMS (2)

A One-Sided Multinomial Hypothesis Test for Unsupervised Anomaly Detection

Danielle Gewurz – Deloitte Consulting

IMS

A Moving (2D, 3D, 4D) Time Series Model: Change Point Analysis

Asif S. Adnan – East West University

IMS

Memorial (1)

D. R. Cox Memorial Lecture

Heather Battey – Imperial College London

Memorial

Quality and Productivity Section (3)

Multiple Levels of Conformity in an Online Process Control Model Incorporating Misclassifications

William S. Griffith – University of Kentucky

Quality and Productivity Section

Assessment of Mobility Impacts of Adaptive Traffic Control System (ATCS) Using Flexible Regression Models

John Kodi – Florida International University

Quality and Productivity Section

Np(X) Control Chart for Monitoring the Mean with Estimated Parameters

Felipe S. Jardim – Fluminense Federal University

Quality and Productivity Section

Section on Bayesian Statistical Science (1)

Forecasting with Perturbed Data

Tahir Ekin – Texas State University

Section on Bayesian Statistical Science

Section on Medical Devices and Diagnostics (2)

Measurement Recalibration the Right and Fair Way

Bertrand Haas – Amazon

Section on Medical Devices and Diagnostics

Sedentary Behavior Estimation with Hip-Worn Accelerometer Data: Segmentation, Classification, and Thresholding

Loki Natarajan – University of California at San Diego (UCSD)

Section on Medical Devices and Diagnostics

Section on Physical and Engineering Sciences (6)

A Free Access Applied Statistics Web Page

Jorge Romeu – Syracuse University

Comparison of the Inferential Performance Between Ada-SSALT and Simple SSALT Under an Exponential Lifetime Distribution

Haifa Ismail-Aldayeh – The University of Texas at San Antonio

Optimal Condition-Based Maintenance Policy Under Tweedie Exponential Dispersion Process

David Han – The University of Texas at San Antonio

Power BI App to Statistically Assess Bias Between In-Line Inspection Runs for Oil and Gas Pipelines

William V. Harper – DNV GL USA, Inc.

The Pauli Potential in the Metropolis Monte-Carlo Context

Guillermo A. Frank – Universidad Tecnologica Nacional

Population Obfuscation: A Masking Problem and Some Solutions

Michael Frey – National Institute of Standards and Technology

Section on Statistical Computing (7)

Wavelet Matrix Operations and Quantum Transforms

Mark Kon – Boston University

Exploratory Analysis of Racial Representation in American Home Ownership

Jhonatan Medri Cobos – University of South Florida

Machine Learning for Multivariate Time Series with the R Package Mlmts

Ángel López-Oriona – University of A Coruña

The Growclusters Package for R

Randall Powers – Bureau of Labor Statistics

Change Point in Variance of Long-Range Dependent Processes

Kyungduk Ko – Boise State University

Some Generalized Linear Models to Explore the Effective Medical Derivatives: Biostatistical Analyses to Ensure Better Services for the Hospital Patients in the Post-COVID Era

Silvia Irin Sharna – Bowling Green State University

Statistical Thinking, Systematic Reviews, and Meta-Analyses for Biomarkers and Medical Tests

Arkendra De – Agilent Technologies

Section on Statistical Graphics (2)

A Form of Independent Deviations and Their Relationship with the Sample Average and Variance

Uditha Wijesuriya – University of Southern Indiana

Section on Statistical Graphics

Dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

Hubert Baniecki – Warsaw University of Technology

Section on Statistical Graphics

Section on Statistical Learning and Data Science (8)

The Third Moment Tensor Method with Principal Components and Basis Expansion

Ruchira Ray – Columbia University

A Novel Neural Network Estimator for the AR(1) Model

Angela Folz – National Institute of Standards and Technology/University of Colorado Boulder

A Workflow Time Study to Estimate Savings from the Implementation of a Machine Learning Algorithm to Automate Fall Risk Assessment

Gregg Gascon – OhioHealth

How Real Is Synthetic Missing Data? Impact of Missing Pattern Modeling on Imputer Evaluation

Rohan Chakraborty – Pymetrics

A Comparison of Deep Learning Methods for Identifying Anomalous Heartbeats in Electrocardiogram Data

Thomas Dunn – University of Central Oklahoma

Industry Self-Classification in the Economic Census

Brian Dumbacher – U.S. Census Bureau

A Statistical Learning Oracle to Support Decisions in Inference

Lucas Koepke – National Institute of Standards and Technology and University of Colorado

Debiasing Principal Component Score Estimation in Exponential Family PCA for Sparse Count Data

Ruochen Huang – The Ohio State University

Section on Statistics and Data Science Education (8)

Boosting Students' Programming Interest Using an R Shiny Web App Rstats in Introductory Statistics Courses

Xuemao Zhang – East Stroudsburg University

Using Six Sigma to Increase Submissions of a University's COVID-19 Symptom Monitoring Form

Diane Evans – Rose-Hulman Institute of Technology

Diversity in Project-Based Learning Strategy in Undergraduate Statistics Education

Shurong Fang – John Carroll University

Audiences and Arguments: Teaching the Strategies of Effective Data Communicators

Sara Stoudt – Bucknell University

Teaching Students in Statistics Courses to Read Critically

Lisa W. Kay – Eastern Kentucky University

Time to War in the Thucydides Trap

Jake Tan – Wissahickon High School

Statistical Literacy UNM Math 1300: First-Year Results

Milo Schield – University of New Mexico

Teaching Statistical Inference Through a Conceptual Lens: A Spin on Existing Methods with Examples

Mortaza Jamshidian – California State University, Fullerton

Section on Statistics and the Environment (5)

Frequency Separated Periodic Block Bootstrapping: Consistency and Robustness for Periodic Characteristics of Time Series

Edward L. Valachovic – University at Albany, State University of New York

Impact of Benthic Organisms to Mitigate Water Pollution in the Indian River Lagoon

Rebecca Beltran – Aquinas College

Impacts of Climate Change on Mountain Glaciers

Jonathan Webb – University of Idaho

Modeling Ciguatera Fish Poisoning Cases Using Climate and Environmental Factors in Florida

Christopher Ryzowicz – New College of Florida

Modeling Sea Level Rise in Florida

Hanna Vaidya – Wake Forest University

Section on Statistics in Epidemiology (3)

A Year of Work in COVID-19 Statistical Modeling

Jorge Romeu – Syracuse University

Section on Statistics in Epidemiology

Sample Size Calculator for Selection Trials Using Equivalence Designs in Phase II Studies

Himanshu Joshi – IHDS, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai

Section on Statistics in Epidemiology

COVID-19, Climate, and Socioeconomic Status in the United States: A Bayesian Analysis of County-Level Case Data

Jordan Bramble – University of Kansas

Section on Statistics in Epidemiology

Section on Statistics in Imaging (2)

A Full Bayesian Approach to SENSE Image Reconstruction Increases Brain Tissue Contrast and Reduces Noise for More Accurate Statistical Analysis

Chase Sakitis – Marquette University

Section on Statistics in Imaging

Utilizing Baseline Information in Addition to Task-Related Information in fMRI

Daniel B. Rowe – Marquette University; Medical College of Wisconsin

Section on Statistics in Imaging

Section on Statistics in Sports (5)

An Investigation of Lateral Trunk Flexion Angle Movement and Muscle Strength in UCONN Athletes

Carolyn Morgan – Meck Limited, LLC

Assessing Injury Risk of UCONN Athletes Using Multi-Dimensional Classification Models

Morris H. Morgan – Meck Limited, LLC

Empirical Analysis of Varsity Volleyball Team Performance

Kristen Li – EAST Chapel Hill High

The Shapes of Winning Percentage Distributions in the Four American Sports

Richard Auer – Loyola University Maryland

Assessing the Impact of COVID-19 on Men’s Swimming in Kansas 6A High School Championships

Michael Mayo – Blue Valley North High School

Section on Teaching of Statistics in the Health Sciences (2)

An Alternate Proof of Stirling's Formula

Ilhan Izmirli

Section on Teaching of Statistics in the Health Sciences

Facilitating the Integration of Ethical Reasoning into Quantitative Courses: Stakeholder Analysis, Ethical Practice Standards, and Case Studies

Rochelle E. Tractenberg – Georgetown University Medical Center

Section on Teaching of Statistics in the Health Sciences

Social Statistics Section (8)

Optional Randomized Response Technique for Estimating Proportions of Two Sensitive Characteristics and Their Overlap

Kavya Pushadapu – Texas A&M University-Kingsville

Preliminary Analysis to Explore the Association Between Discriminatory Experiences and Social Behavior

Sreejata Dutta – University of Kansas Medical Center

Psychometric Assessment of Interpersonal Violence Survey: Workplace Scales in the Department of the Air Force

Sarah Stutts – US Air Force

Analysis of the Impact of Secondary Source Data on the CPI’s Gasoline Standard Errors

Jenny FitzGerald – Bureau of Labor Statistics

Empathetic Data Science Practice: Towards Community-Led Statistics for Stronger Science

Claire Morton – Stanford University

Who's Afraid of Data? Lessons from the Field in Myanmar

Nimai Mehta – American University

A Dual-Frame Estimation Approach for Combining Probability and Nonprobability Samples

Chien-Min Huang – Colorado State University

Hybrid Methods for Combining Probability and Nonprobability Samples for Estimation

Michael Yang – NORC at the University of Chicago

Survey Research Methods Section (35)

Address-Based Sampling for Socio-Demographic Studies of the U.S. Jewish Community

Zachary H. Seeskin – NORC at the University of Chicago

David Dutwin – NORC at the University of Chicago

Leonard Saxe – Brandeis University

Anybody Home? In-Person Recruitment in a Multimode Design on the MCBS

Alanah Raykovich – NORC at the University of Chicago

Holly Hagerty – NORC at the University of Chicago

Rachel Carnahan – NORC at the University of Chicago

Jennifer Vanicek – NORC at the University of Chicago

COVID-19 Vaccination Coverage in the U.S.: Comparison Among National Probability-Based Surveys - National Immunization Survey Adult COVID Module, Household Pulse Survey, and the AmeriSpeak Panel

Vicki J. Pineau – NORC at University of Chicago

Jason Fields – US Census Bureau

James Singleton – US Centers for Disease Control and Prevention

Elizabeth Allen – NORC at the University of Chicago

David Dutwin – NORC at the University of Chicago

Sarah Kornylo – NORC at the University of Chicago

Xiuli Tang – NORC at the University of Chicago

Michael Chen – US Centers for Disease Control and Prevention

Benjamin Fredua – NORC at the University of Chicago

Impact of Differential Appeals in an Advance Letter Mailing on Phone Recruitment for a Longitudinal Survey

Melissa Heim Viox – NORC at the University of Chicago

Chrystine Tadler – NORC at the University of Chicago

Megan Bjorgo – NORC at the University of Chicago

Making Lotteries Legible: Designing Natural Experiments

Daniel Goldstein – NYC Department of Housing

Elyzabeth Gaumer – NYC Department of Housing

Multilingual Communities Require Multilingual Surveys: A Language Justice-Informed Approach to the New York City Housing and Vacancy Survey

Caitlin Waickman – NYC Department of Housing Preservation and Development

Allison Corbett – NYC Department of Housing Preservation and Development

The Impact of Questionnaire Mode on Estimates of Health Insurance Coverage and Vaccines for Children Program Eligibility in the National Immunization Survey

Rachel Francis – NORC at the University of Chicago

Zachary H. Seeskin – NORC at the University of Chicago

Amie Conley – NORC at the University of Chicago

Laurie D. Elam-Evans – National Center for Immunization and Respiratory Diseases

Chalanda Smith – National Center for Immunization and Respiratory Diseases

Holly A. Hill – National Center for Immunization and Respiratory Diseases

Michael Chen – National Center for Immunization and Respiratory Diseases, CDC

Total Survey Error Analysis: National Immunization Survey Adult COVID Module COVID-19 Vaccination Coverage Estimates

A. Elizabeth Allen – NORC at the University of Chicago

Vicki J. Pineau – NORC at University of Chicago

Kirk Wolter – NORC at the University of Chicago

Jason Boim – NORC at the University of Chicago

James Singleton – US Centers for Disease Control and Prevention

Michael Chen – US Centers for Disease Control and Prevention

David Yankey – US Centers for Disease Control and Prevention

Jennifer Kriss – US Centers for Disease Control and Prevention

Yi Mu – US Centers for Disease Control and Prevention

Analyzing the Imputations for Nonresponse in the 2020 Census Post-Enumeration Survey

Michael Beaghen – U.S. Census Bureau

Bias in the Post-Enumeration Survey Due to Duplicate Misclassification

Scott Konicki – U.S. Census Bureau

COVID-19 Impacts on the Post-Enumeration Survey

Elizabeth Marra – U.S. Census Bureau

Nonresponse in the 2020 Post-Enumeration Survey (PES)

Shadie Khubba – U.S. Census Bureau

Research on Reducing Correlation Bias in Dual-System Estimates

Krista Heim – U.S. Census Bureau

Determination of Socio-Economic Effects of COVID-19 Pandemic in Turkey Using Logistic Regression

Berna Yazici – Eskisehir Technical University

Modeling State-Level Attitudinal Measures Related to COVID-19 Vaccination of Children Using Survey Data and Administrative Data

Nada Ganesh – NORC at the University of Chicago

Can’t Go in Person? Consider Survey Reminder Mailings

Chrystine Tadler – NORC at the University of Chicago

Reducing Response Bias in Reports of Trauma and PTSD: An Application of the Nonverbal Response Card in a Survey of Youth in Burkina Faso

David Lindstrom – Brown University

Bias Interrupters Developed Estimators’ Network (BIDEN) with a Mixture of TRUMP Cuts and Jackknifing

Sarjinder Singh – Texas A&M University-Kingsville

Evaluating the First-Stage Sample Design for the 2020 Redesign of the Consumer Expenditures Surveys

Stephen Ash – Bureau of Labor Statistics

Evaluating the Use of Design Weights in Classification Trees for Modeling Survey Nonresponse

Tien-Huan Lin – Westat

Optimizing the Current Population Survey Composite Estimator

Justin J. McIllece – Bureau of Labor Statistics

Overcoming the Challenges of Computing a Single Analysis Weight When a State-Level Component Is Incorporated into a Traditional National-Level Study

Ruby Johnson – RTI International

Uncertainty Assessment of Finite-Population Medians Under Complex Capture-Recapture Sampling Designs

Luca Sartore – U.S. Department of Agriculture and National Institute of Statistical Sciences

Comparing the 2019 American Housing Survey to Contemporary Sources of Property Tax Records: Implications for Survey Efficiency and Quality

Ariel Binder – U.S. Census Bureau

Hierarchical Bayesian Model for County-Level Cash Rental Rates

Lu Chen – NISS/NASS, USDA

Embracing Cross-Loading to Improve Latent Variable Models Fit: A Comparison of Exploratory and Bayesian Structural Equation Modeling

Kevin Gittner – Kennesaw State University - Kennesaw, GA

Automatic Imputation for an Area Survey

Tara Murphy – USDA National Agricultural Statistics Service

Extending the Dual-System Estimation for the Census of Agriculture

Habtamu Benecha – USDA National Agricultural Statistics Service

An Algorithm for Small Area Estimation Under Not Missing at Random Non-Response

Michael Sverchkov – Bureau of Labor Statistics

Application of Efficient Sampling with Prediction for Skewed Data

James Knaub – Retired

Modeling Changes in Physician Health After Participation in the Leading Physician Well-Being Certificate Program

Elisabeth Callen – American Academy of Family Physicians

Survey Data Quality

Ioannis Andreadis – Aristotle University of Thessaloniki

Estimating the Size of Clustered Hidden Populations

Laura Gamble – Westat

Forming Area Sampling Units with Geospatial Sorts, with Application to the Program for the International Assessment of Adult Competencies (PIAAC)

Benjamin Schneider – Westat

Predictive Modeling Using an Enhanced Address-Based Sampling Frame

Rachel Harter – RTI International