Contributed Posters

Contributed Poster Presentations: Section on Statistical Consulting

Tue, Aug 5, 2:00 PM - 3:50 PM Room CC-Hall B Music City Center

Section on Statistical Consulting

6 Presentations

01: Association between Human Trafficking Arrests and Online Ad Volume: A Study of Five U.S. Cities

2:00 PM - 3:50 PM

Co-authors: Isabella Martin (The University of Alabama), Xinshu Yi (University of Alabama), Isabella Martin (The University of Alabama), Subhabrata Chakraborti (The University of Alabama), Nickolas Freeman (The University of Alabama), Jason Parton (University of Alabama)

ASWs cross correlation function autocorrelation function change point analysis human trafficking time series analysis

02: CART Analysis to Predict Serious Complications with Central Line in Pediatric Patients

2:00 PM - 3:50 PM

Co-authors: Amy Pan (Medical College of Wisconsin), Melodee Liegl (Medical College of Wisconsin), Amy Pan (Medical College of Wisconsin), Alina Burek (Medical College of Wisconsin)

Classification and Regression Tree analysis Predictive modeling Sensitivity Specificity area under the receiver operating characteristic curve

03: Enhancing Causal Inference: The Comparison of Stratification Over Adjustment in IPTW Analyses

2:00 PM - 3:50 PM

Co-authors: Sai Liu (Stanford University), Sai Liu (Stanford University), Maria Montez-Rath (Stanford University), Tara Chang (Stanford Univeristy)

Inverse Probability of Treatment Weighting (IPTW)Causal Inference Stratification Adjustment

04: Machine Learning Models for Risk Stratification in Infants with Abnormal Development

2:00 PM - 3:50 PM

Co-authors: Ke Yan (Medical College of Wisconsin), Katherine Carlton (Medical College of Wisconsin), Ke Yan (Medical College of Wisconsin), Jian Zhang, Erwin Cabacungan (Medical College of Wisconsin), Susan Cohen (Medical College of Wisconsin)

Machine learning Prediction Health care

05: Metabolic Heat Profiles in Chondrocytes: A Comparison of Functional and Integrated Data Approaches

2:00 PM - 3:50 PM

Co-authors: Sarah Mensah (Montana State University), Sarah Mensah (Montana State University), Mark Greenwood (Montana State University-Bozeman), Ronald June (Montana State University), Erik Myers (Montana State University), Priyanka Brahmachary (Montana State University), Ross Carlson (Montana State University), Campbell Putnam (Montana State University)

biostatistics functional data functional ANOVA follow-up tests

06: ML Identification of Key Features for 90-Day Readmission & LOS in CAR T-Cell Therapy for R/R LBCL

2:00 PM - 3:50 PM

Co-authors: Philip Yeung (Kansas University Medical Center/ MPKey, LLC.), Philip Yeung (Kansas University Medical Center/ MPKey, LLC.), Aaron Trando (University of California San Diego School of Medicine,), Ah-Reum Jeong (Department of Medicine, Division of Blood and Marrow Transplantation), Dimitrios Tzachanis (Department of Medicine, Division of Blood and Marrow Transplantation)

chimeric antigen receptor (CAR) T-cell 90-day readmission machine learning important features