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Better Living Through Statistics

April 20-21, 2018 at the University of Rochester, New York


SEVENTH ANNUAL CONFERENCE OF THE UPSTATE CHAPTERS OF THE AMERICAN STATISTICAL ASSOCIATION


Program

See Abstracts for more detail.

 

Friday, April 20

 

9:00-10:00           Registration : Goergen Atrium

 

10:00-11:45                   Tutorials

 

T1:      Kernel Learning Machines for Regression, Classification, and Unsupervised Learning : Goergen 108

 

Ernest Fokoué, Rochester Institute of Technology

 

T2:      Image Classification with Random Forests : Wilmot 116

 

Anthony Vodacek, Rochester Institute of Technology

 

12:45-2:15            Tutorials

 

T3:      Seeing the Forest through the Trees – A Comparison of Decision Trees, Bootstrap Forests, and Gradient-Boosted Trees : Wegmans 1005

 

Dean Neubauer, Corning Incorporated

 

T4:      Exploration of Deep Learning : Wegmans 1400

 

Raymond Ptucha, Rochester Institute of Technology

 

2:30-3:45              Tutorials

 

T5:      Evolutionary Molecular Dynamics : Wegmans 1400

 

Gregory Babbitt, Rochester Institute of Technology

 

T6:      Vector Autoregressive Models : Wegmans 1009

 

Maria Caterina Bramati, Rochester Institute of Technology

 

T7:      Gravitational Wave Open Data from LIGO and VIRGO : Wegmans 1005

 

Ofek Birnholtz, Rochester Institute of Technology

 

4:00-5:30              Department of Biostatistics and Computational Biology Colloquium : Wegmans 1400

 

Revisiting the genomewide threshold of 5 × 10-8 in 2018

 

Bhramar Mukherjee, Department of Biostatistics, University of Michigan

 

6:00-7:00              Poster Session and Competition : Goergen Atrium (Posters also displayed during lunch on Saturday)

 

Empirical Bayes method and random forest in high-dimensional DNA methylation data analysis

 Liling Zou, Department of Medical Statistics, Tongji University School of Medicine

Dongmei Li, Clinical and Translational Science Institute, University of Rochester Medical Center

Timothy Dye, Department of Obstetrics and Gynecology, University of Rochester Medical Center

Regularized estimation of high-dimensional sparse spectral density §

Yiming Sun, Yige Li, and Sumanta Basu, Department of Biological Statistics and Computational Biology, Cornell University

Gene filtering technique prior to causal pathway analysis §

 Lorin Miller, Jeffrey Mieczinkowski, David Tritchler, and Fan Zhang, Department of Biostatistics, SUNY at Buffalo

Swinging for the fences: are home run records helping baseball?

 Matthew Kochan, Canisius Library, Canisius College

 Milburn Crotzer, Department of Mathematics and Statistics, Canisius College

Modeling alphabet incorporated class A using fractional Brownian motion §

 James Caruana and Damien Halpern, Department of Mathematics, SUNY Geneseo

Gender distribution of concussions in collegiate athletics, 1988-2004 §

 Ann Zhang, Department of Public Health Sciences, University of Rochester Medical Center

A flexible orientational bias Monte Carlo multiple-try Metropolis algorithm §

 Alexis Zavez and Sally Thurston, Department of Biostatistics and Computational Biology, University of Rochester Medical Center

Visualization and outlier detection: phase, voltage, and frequency for power stations §

 Chandini Ramesh and Ernest Fokoué, College of Science, Rochester Institute of Technology

 Esa Rantanen, Department of Psychology, Rochester Institute of Technology

 

§ Indicates presentations that are eligible for the student presentation awards

 

7:00-9:00              Dinner : Goergen Atrium

 

Saturday, April 21

 

8:00-8:45              Breakfast/registration/orientation : Goergen Atrium

 

8:45-9:15              Welcome : Wegmans 1400

 

9:30-10:15            Parallel sessions

§ Indicates presentations that are eligible for the student presentation awards

 

Session 1A: Methodological Challenges and Advancements in the Current Research on the Impacts of Fracking : Goergen 101

Session Organizer/Chair:     Alina Denham, Department of Public Health Sciences, University of Rochester Medical Center

 9:30-9:45        Using difference-in-differences to assess the health consequences of shale gas development drinking water contamination

 Elaine Hill, Department of Public Health Sciences, University of Rochester Medical Center

 9:45-10:00      The impact of unconventional natural gas development on acute myocardial infarction hospitalizations among the elderly population: an application of the difference-in-differences design §

 Linxi Liu, Department of Public Health Sciences, University of Rochester Medical Center

 10:00-10:15    The new gold standard: using geology as a random predictor of where and when drilling happens §

 Andrew Boslett, Department of Public Health Sciences, University of Rochester Medical Center

Session 1B: Statistical Methods for Drug Evaluation : Goergen 109

9:30-9:50        An evaluation of statistical approaches to post-marketing surveillance §

 Yuxin Ding and Marianthi Markatou, Department of Biostatistics, SUNY at Buffalo

Robert Ball, Center for Drug Evaluation and Research, Food and Drug Administration

 9:55-10:15      Generalized multiple contrast tests in proof-of-concept dose-response studies §

 Shiyang Ma and Michael McDermott, Department of Biostatistics and Computational Biology, University of Rochester Medical Center

Session 1C: Applications of Spatial Modeling : Goergen 108

9:30-9:50        An inhomogeneous Poisson model of the spatial intensity of opioid overdoses, as represented by EMS naloxone use

 Christopher Ryan, SUNY Upstate Medical University Binghamton Clinical Campus

 9:55-10:15      Spatial analysis of Americans’ attitudes towards guns §

 Jiangmei Xiong and Joseph Ciminelli, Department of Mathematics, University of Rochester

Session 1D: Methods for Image Classification : Wilmot 116

9:30-9:50        Humpback whale image identification §

 Joseph Tadros and Yi Liu Chen, Department of Mathematics, SUNY Geneseo

 9:55-10:15      Emotion recognition using deep learning §

 Tolulope Olatunbosun Department of Mathematics, SUNY Geneseo

Ian Costley and Peter Murphy, Department of Physics, SUNY Geneseo

Session 1E: Methods for Detecting Change-Points and Phase Transitions : Goergen 110

 9:30-9:50        Change-point detection and issue localization based on fleet-wide fault data

 Necip Doganaksoy, Department of Accounting and Business Law, Siena College

Zhanpan Zhang, GE Global Research

 9:55-10:15      Detecting phase transitions in small group conversations through entropy methods §

 Jennifer Lentine and Bernard Ricca, Statistics and Data Science Program, St. John Fisher College

 

10:25-11:10                   Parallel sessions

 

Session 2A: Understanding Drinking Water Data: Findings and Implications for Policy : Goergen 101

Session Organizer/Chair:     Alexis Zavez, Department of Biostatistics and Computational Biology, University of Rochester Medical Center

10:25-10:40    New York State public drinking water contamination: trends, levels, and correlates §

 Alexis Zavez, Department of Biostatistics and Computational Biology, University of Rochester Medical Center

10:40-10:55    Coliform and the weather: evidence from over 10,000 public water systems §

 Devin Sonne, Department of Public Health Sciences, University of Rochester Medical Center

10:55-11:10    The effects of drinking water contamination on birth outcomes: new estimates from drinking water samples §

 Richard DiSalvo, Department of Economics, University of Rochester

Session 2B: New Perspectives on Sport Analytics : Goergen 109

Session Organizer/Chair:     Rob Weber, Statistics and Data Science Program, St. John Fisher College

10:25-10:40    Reconsidering wins above replacement as a metric §

 Rob Weber, Statistics and Data Science Program, St. John Fisher College

10:40-10:55    Are the worth it? §

 Kaylee Gassner, Statistics and Data Science Program, St. John Fisher College

10:55-11:10    Optimal empirical game plan for box lacrosse §

 Eddy Tabone, Statistics and Data Science Program, St. John Fisher College

Session 2C: Methods for Image Analysis with Applications in Medicine : Goergen 108

10:25-10:45    Analyzing skin lesions in dermoscopy images using convolutional neural networks §

 Vatsala Singh and Ifeoma Nwogu, Department of Computer Science, Rochester Institute of Technology

10:50-11:10    Spatial regression analysis of diffusion tensor imaging data for subjects with sub-concussive head blows §

 Yu Gu and Xing Qiu, Department of Biostatistics and Computational Biology, University of Rochester Medical Center

Patrick Asselin and Jeffrey Bazarian, Department of Emergency Medicine, University of Rochester Medical Center

Session 2D: Applications of Text Mining: Human Health and Life Aesthetics : Wilmot 116

Session Organizer/Chair:     Qiuyi Wu, College of Science, Rochester Institute of Technology 

10:25-10:45    Natural language processing of clinical notes in electronic health records §

 Xupin Zhang, Warner School of Education, University of Rochester

 Zhen Tan, Department of Biochemistry and Biophysics, University of Rochester Medical Center

10:50-11:10    Music mining with a topic modeling approach for improvisational learning §

 Qiuyi Wu, College of Science, Rochester Institute of Technology

Session 2E: Models for Analysis of Health Outcomes Data : Goergen 110

10:25-10:45    Impact of hospital share of nursing home-originating hospitalizations on risk adjusted hospital 30-day readmission rates §

 Zhiqiu Ye, Helena Temkin-Greener, Yue Li, and Orna Intrator, Department of Public Health Sciences, University of Rochester Medical Center

Ghinwa Dumyati, Department of Medicine, University of Rochester Medical Center

Dana Mukamel, Department of Medicine, University of California–Irvine

10:50-11:10    The economic disparities and suicides: multi-level analyses of panel time series data in the United States

 Bruce Sun, Department of Mathematics, SUNY Buffalo State

 

11:20-12:05                   Parallel sessions

 

Session 3A: Advancing Health Services Research through Novel Models and Data : Goergen 101

Session Organizer/Chair:     Alina Denham, Department of Public Health Sciences, University of Rochester Medical Center

11:20-11:35    Leveraging underutilized data sets to illuminate the relationship between pharmaceutical detailing and physician prescribing behavior §

 Teraisa Mullaney, Department of Public Health Sciences, University of Rochester Medical Center

11:35-11:50    Testing relationships of latent constructs with limited data §

 Chelsea Katz, Department of Public Health Sciences, University of Rochester Medical Center

11:50-12:05    Using maximum likelihood estimation to test improvements to conceptual framework of health services utilization §

 Alina Denham, Department of Public Health Sciences, University of Rochester Medical Center

Session 3B: Biomedical Science Applications : Goergen 109

11:20-11:40    Gene pathway analysis reveals neuropathologies in mice that may be linked to autism spectrum disorder in humans §

Valeriia Sherina, Department of Biostatistics and Computational Biology, University of Rochester Medical Center

Carolyn Klockel, Jakob Gunderson, Joshua Allen, Marissa Sobolewski, and Deborah Cory-Slechta, Department of Environmental Medicine, University of Rochester Medical Center

Jason Blum and Judith Zelikoff, Department of Environmental Medicine, New York University School of Medicine

11:45-12:05    Representation of spheroprotein surface topography using standard cartographic techniques: potential advantages over traditional methods

 Vicente Reyes, Ronin Institute

Session 3C: Applications of Data Science for Social Good : Goergen 108

11:20-11:40    Exploratory analysis of data on homelessness: paving the way for data analytics for social good §

 Travis Broadbeck and Necip Doganaksov, Department of Accounting and Business Law, Siena College

11:45-12:05    Point process prediction §

 Italo Sayan, College of Science, Rochester Institute of Technology

Session 3D: Undergrad, Meet Data Science: Notes from the Field on a Data Science Minor : Wilmot 116

Session Organizer/Chair:     B. Evan Blaine, Statistics and Data Science Program, St. John Fisher College

11:20-11:35    Introducing data science: statistics, computing, and more

 Anne Geraci and Katie Donovan, Statistics and Data Science Program, St. John Fisher College

11:35-11:50    Programmatic issues in an undergraduate data science minor

 B. Evan Blaine, Statistics and Data Science Program, St. John Fisher College

11:50-12:05    Tying it all together

 Bernard Ricca, Statistics and Data Science Program, St. John Fisher College

Session 3E: Statistics and Machine Learning for Prediction : Goergen 110

11:20-11:40    Integrating machine learning algorithms and statistical methodology to predict college graduation status and final GPA §

 Robert Tumasian, Diana DeFilippis, and Sydney Ng, Department of Mathematics, SUNY Geneseo

11:45-12:05    Predicting stock market prices using machine learning algorithms §

 Andrew Flannery, George Kuliner, and Chase Yaeger, Department of Mathematics, SUNY Geneseo

 

12:15-1:15            Lunch : Goergen Atrium

 Sponsor Sessions

M&T Bank : Wegmans 1005

Corning : Wegmans 1009

Praxair : Wegmans Collaborative Space (by the stairs)

 

1:25-2:35              Session 4: Keynote Lecture : Wegmans 1400

How Big Data can Leverage Small Data and Conversely   

Bhramar Mukherjee, Department of Biostatistics, University of Michigan

 

2:40-3:20              Data competition session : Wegmans 1400

(four 10-minute presentations)

 The four finalist teams are:

  1. Power Analysis Rangers
  2. Insight
  3. The Soothsayers
  4. StatsROCker

3:30-4:15              Parallel sessions

 

Session 5A: Statistics Education : Goergen 101

Session Organizer/Chair:     Susan Mason, Department of Psychiatry, Niagara University

3:30-3:50        Success in a statistics course: how important is grit?

 Susan Mason, Department of Psychiatry, Niagara University

 Elizabeth Reid, Department of Mathematics, Marist College

3:55-4:15        Active learning in mathematics and statistics courses

 Elizabeth Reid, Department of Mathematics, Marist College

Session 5B: Methods for Regression Analysis : Goergen 109

3:30-3:50        Comparing the efficiency of shrinkage estimators

 Marvin Gruber, College of Science, Rochester Institute of Technology

 3:55-4:15        Statistical learning approach to modal regression

 Yunlong Feng, Department of Mathematics and Statistics, SUNY Albany

Session 5C: Predicting Outcomes using the Bradley-Terry Model : Goergen 108

3:30-3:50        Prediction and evaluation with the Bradley-Terry model: a college hockey case study

 John Whelan, College of Science, Rochester Institute of Technology

3:55-4:15        Big data analytics: some ethical and legal aspects

 Reneta Barneva, Department of Applied Professional Studies, SUNY at Fredonia

Session 5D: Quantifying Treatment Effects in Clinical Studies : Wilmot 116

3:30-3:50        Investigations of a nonparametric effect size statistic for studies with two independent samples

 Bernard Ricca and B. Evan Blaine, Statistics and Data Science Program, St. John Fisher College

3:55-4:15        Measures of overall survival reported and utilized in randomized controlled trials of cancer therapies

 Eva Culakova, Department of Surgery, University of Rochester Medical Center

Session 5E: Statistics and Data Science Applications in Media and Astronomy : Goergen 110

3:30-3:50        Predicting a quasar’s redshift and radio brightness from Sloan Digital Sky Survey data §

 Alexander Belles, William Freed, and John Robinson, Department of Mathematics, SUNY Geneseo

3:55-4:15        Understanding news readers at Globo.com with data science

 Andre Ramos, Globo.com

 

§ Indicates presentations that are eligible for the student presentation awards

 

4:25-5:00              Awards and wrap-up  : Wegmans 1400