JSM 2024 Student Paper Competition
The Health Policy Statistics Section (HPSS) of the American Statistical Association (ASA) cordially invites submissions to our student paper competition for the 2024 Joint Statistical Meetings (JSM). Papers entered in the competition should show thorough and appropriate statistical analyses of health policy problems, issues, or questions pertinent to the goals of the ASA Health Policy Statistics Section. Papers focused on advances in statistical theory or statistical methodology are also encouraged provided that they are sufficiently motivated by problems in health policy. The student must be the first author on the paper if there are other co-authors. Current undergraduate or graduate students at any level, as well as those graduating in 2023 who wish to present research they conducted as students, are eligible to participate. Up to five prizes will be awarded. Each winner will be awarded
an $800 (USD) check,
a certificate, and
a ticket to the JSM HPSS Speaker with Lunch roundtable.
Students should follow ASA competition guidelines below. Winners, if applying for student paper awards from two sections, must notify both sections if they accept an award from one and then remove themselves from consideration for the award of the other section.
The award for the HPSS student paper competition is an excellent opportunity for students to present their work and launch their professional careers. HPSS has received submissions of very high quality in previous years. If you have a teaching or mentoring role, please bring this to the attention of your students and encourage them to apply.
The following general policies and procedures apply to all ASA section competitions:
All materials must be received by the Section by December 15, 2023.
Winners will be notified by January 15, 2024.
Competition winners must submit abstracts and register for JSM through the official JSM abstract submission system by the deadline.
Students may submit papers to no more than two sections and may accept only one section’s award. Students must inform both sections applied to when he or she wins and accepts an award, thereby removing the student from the award competition for the second section.
Students planning to participate in section competitions must adhere to the eligibility, paper format, submission process, and other requirements of the sections to which they are applying.
The following policies are specific to the HPSS student paper competition:
Competition winners must present their paper in a special topic contributed session and no other session.
Competition winners are encouraged to attend the HPSS Monday night business meeting/mixer in order to receive their awards.
Applications should include:
A cover letter including name, current affiliation and status including actual or intended date of graduation, and contact information (address, telephone, e-mail) of the applicant.
An abstract of up to 1200 characters.
Two drafts of the paper: blinded and unblinded. The title, abstract, keywords, the body of the manuscript, acknowledgements, and the references (excluding tables and figures) should not exceed 25 pages (A4 or letter, double space).
A letter from the adviser certifying student status (or completion of degree within the past year).
Applications must be submitted by email (PDF files preferred) to Fatema Shafie Khorassani (Email: email@example.com) by 5 PM EST December 15, 2023.
For further information and to apply, please contact:
Fatema Shafie Khorassani, HPSS Program Chair-Elect (2023-2024)
Sierra Pugh, Colorado State University, "A hierarchical Bayesian model for estimating age-specific COVID-19 infection fatality rates in developing countries"
Jiayi Tong, University of Pennsylvania Perelman School of Medicine, "A new end-to-end data aggregation approach for comparing hospital performance without sharing patient-level data"
Nicolas Hartman, University of Michigan, "Individualized Empirical Null Estimation for Exact Tests of Healthcare Quality"
Haolin Li, University of North Carolina at Chapel Hill, "Inverse Probability of Censoring Weighted Super Learner for Survival Prediction in Case-Cohort Studies"
Larry Han, Harvard T.H. Chan School of Public Health, "Privacy-Preserving and Communication-Efficient Hospital Quality Measurement"
Joseph Feldman, Rice University, "A Bayesian Framework for Generation of Fully Synthetic Mixed Datasets"
Anqi Yin, Georgetown University, "Doubly robust semiparmateric U-statistic with applications in biomedical studies"
Augustine Wigle, University of Waterloo, "Bayesian unanchored additive models for component network meta-analysis"
Xingruo Zhang, University of Chicago, "Defining R-Squared Measures for Mixed-Effects Location Scale Models"
Chenqi Fu, Penn State University, "Evidence synthesis with reconstructed survival data"
Kaitlyn Cook, Harvard University, “Stratified Proportional Hazards Models for Clustered Interval-Censored Data”
Yige Li, Harvard University, “Effectiveness of Localized Lockdowns in the COVID-19 Pandemic”
Ernesto Ullao, University of Washington, “Improved Matching via Augmented Propensity Score Estimation”
Yizhe Xu, University of Utah, “A Conditional Random Forest Approach to Estimating the Most Cost-effective Individualized Treatment Rule”
Bo Zhang, University of Pennsylvania, “Social Distancing and COVID-19: Randomization Inference for a Structured Dose-Response Relationship”
Alyssa Bilinski, Harvard University. “Nothing to see here? Non-inferiority approaches to parallel trends and other model assumptions”
Xiaofei Chen, Southern Methodist University. “Estimating the Optimal Timing of Surgery from Observational Data”
Qianheng Ma, University of Chicago. “A Shared-Parameter Location-Scale Growth Model to Link Non-ignorable Nonresponses in the Self-Initiated Event-Contingent EMA Assessments to Subject’s Mood Change and Mood Stability”
Yulia Sidi, University of Connecticut. “Non-inferiority clinical trials: treating margin as missing information”
Zekun Xu, North Carolina State University. “Treatment regimes with frequent treatment changes”
Christoph Kurz. Helmholtz Zentrum München. "The Effect of Bariatric Surgery on Health Care Costs: A Synthetic Control Approach Using Bayesian Structural Time Series"
Shirley Liao, Harvard University. "Posterior Predictive Treatment Assignment Methods for Causal Inference in the Context of Time-Varying Treatments"
James Normington, U. Minnesota. "A Bayesian difference-in-difference framework for the impact of primary care redesign on diabetes outcomes"
Zhixing Xu, Florida State University. “A Latent Class Based Joint Model for Recurrence and Termination with Application to Heart Transplants”
Jincheng Zhou, U. Minnesota. "A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance Data in Meta-analysis"
Devick Katrina. Harvard University. "The Role of Body Mass Index at Diagnosis on Black-White Disparities in Colorectal Cancer Survival: A Density Regression Mediation Approach"
Tom Chen. Harvard University. "A stochastic second-order generalized estimating equations approach for estimating association parameters under informative missingness"
Mingyang Shan. Brown University. "Bayesian Record Linkage Under Limited Linking Information"
Qinshu Lian. U. Minnesota. "Correcting for Exposure Misclassification in Meta-analysis: A Bayesian Approach"
Jincheng Zhou. U. Minnesota. "Bayesian Hierarchical Model Estimating CACE in Meta-Analysis"
Yifei Wang, UC Davis Biostatistics, “Joint Indirect Standardization when Only Marginal Distributions are Observed in the Index Population”
Qian Guan, NC State Statistics “A principled policy-optimized Bayesian nonparametric formulation of periodontal recall intervals”
Jeff Boatman, Minnesota Biostatistics, “Estimating Causal Effects from a Randomized Clinical Trial when Noncompliance is Measured with Error”
David Cheng, Harvard Biostatistics, “Estimating Average Treatment Effects with a Response-Informed Calibrated Propensity Score"
Alex Kaizer, Minnesota Biostatistics, “Dynamic Multi-Resolution Smoothing Using Multi-Source Exchangeability Models”
Edward Kennedy, University of Pennsylvania, “Nonparametric methods for doubly robust estimation of continuous treatment effects”
Georgia Papadogeorgou, Harvard University, “Towards adjustment for completely unobserved spatial confounding”
Laura Forastiere, University of Florence and Harvard School of Public Health, “Identification and estimation of causal mechanisms on clustered encouragement designs: Disentangling bed nets using Bayesian principal stratification”
Qinshu Lian, University of Minnesota, “A Bayesian hierarchical summary receiver operating characteristic model for network meta-analysis of diagnostic tests”
Patrick Schnell, University of Minnesota, “A Bayesian credible subgroups approach to identifying patient subgroups with positive treatment effects”
Hong Zhao, University of Minnesota, "Hierarchical Bayesian Approaches for Detecting Inconsistency in Network Meta-Analysis"
Jingjing Zou, Columbia University, "Transplant Allocation Strategies"
Liangyuan Hu, Brown University, "Estimating causal effect of treatment initiation time on mortality from observational data when both exposure and outcome are subject to censoring: Application to timing of cART initiation in HIV/TB co-infection"
Robert Ashmead, US Census Bureau, CSRM, "Health Care Policy Evaluation using Propensity Score Matching: A Study of Care Consistent with a Patient-Centered Medical Home using a Large Population Survey"
Caleb H Miles, Harvard University, "Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program"
Zhengyi Zhou, Cornell University, "A Spatio-Temporal Point Process Model For Ambulance Demand"
Michael Lopez, Brown University ; Roee Gutman, Brown University, "Matching To Estimate The Causal Effects From Multiple Treatments"
Hyunseung Kang, University of Pennsylvania, "Instrumental Variables Estimation With Some Invalid Instruments And Its Application To Mendelian Randomization"
Jeanette Birnbaum, University of Washington, "Projecting Benefits And Harms Of Novel Cancer Screening Biomarkers: A Study Of Pca3 And Prostate Cancer"
Fan Yang, Wharton, "Using Post-Quality Of Life Measurement Information In Censoring By Death Problems"
Hwanhee Hong, Division of Biostatistics, University of Minnesota School of Public Health, "A Bayesian Missing Data Framework for Generalized Multiple Outcome Mixed Treatment Comparisons"
Thomas Murray, Division of Biostatistics, University of Minnesota School of Public Health, "Composite Kaplan-Meier and Commensurate Bayesian Models for Combining Current and Historical Survival Information"
David Vock, formerly a student in the Department of Statistics at NC State University. Now an Assistant Professor at the University of Minnesota, "Assessing the Causal Effect of Organ Transplantation on the Distribution of Residual Lifetime"
Xiaoye Ma, Division of Biostatistics, University of Minnesota School of Public Health, "A Hybrid Bayesian Hierarchical Model Combining Cohort and Case-control Studies for Meta-analysis of Diagnostic Tests: Accounting for Disease Prevalence and Partial Verification Bias"
Megan Schuler, Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, "Effectiveness of Adolescent Substance Abuse Treatments: Is Biological Drug Testing Sufficient?"
Ludi Fan, University of Michigan, "Comparing Cumulative Incidence Functions Between Nonrandomized Groups"
Hwanhee Hong, University of Minnesota, "Hierarchical Bayesian Methods for Combining Efficacy and Safety in Multiple Treatment Comparisons"
So Young Kim, The University of North Carolina at Chapel Hill, "More Efficient Estimators for Case-Cohort Studies"
Gregory J. Matthews, University of Massachusetts, "Assessing the Privacy of Randomized Vector--Valued Queries to a Database Using the Area Under the Receiver-Operating Characteristic Curve"
Cheng Zheng, University of Washington, "Causal Mediation Analysis in Multi-Level Intervention and Multi-Component Mediator Case"
John Graves, Harvard University, "Health Care Reform and the Dynamics of Uninsurance: Lessons from Massachusetts"
Vinh Nguyen, University of California at Irvine, "Robust Inference in Semiparametric Discrete Hazard Models for Randomized Clinical Trials"
Zheyu Wang, University of Washington, "Accessing Diagnostic Accuracy with Ordinal Symptom Statuses Under the Absence of a Gold Standard"
Dan Yang, University of Pennsylvania, "Optimal Matching with Minimal Deviation from Fine Balance in a Study of Obesity and Surgical Outcomes"
Jose R. Zubizarreta, University of Pennsylvania, "Contrasting Evidence Within and Between Institutions That Supply Treatment in an Observational Study of Alternative Forms of Anesthesia"
Mike Baiocchi, University of Pennsylvania, "Near/Far Matching: Building a Stronger Instrument"
Dhiman Bhadra, University of Florida, "Bayesian Semiparametric Analysis of Case-Control Studies with Time-Varying Exposures"
Roee Gutman, Harvard University, "Full Bayesian Procedure for File Linking to Analyze End-of-Life Medical Costs"
Gregory J. Matthews, University of Connecticut, "Assessing Privacy Using the Area Under the Receiver-Operator Characteristic Curve"
Jessica Amelia Myers, Johns Hopkins Bloomberg School of Public Health, "Regression Adjustment and Stratification by Propensity Score in Treatment Effect Estimation"
Sean Devlin, University of Washington," Identification of Ovarian Cancer Symptoms in Health Insurance Claims Data"
Sandrah P. Eckel, Johns Hopkins Bloomberg School of Public Health, "Surrogate Screening Models for Determining Low Physical Activity in the Cardiovascular Health Study"
Carrie Hosman, University of Michigan, "Sensitivity Analyses for Omitted Variable Bias in Multiple Regression in a Study of Right Heart Catheterization"
Jessica A. Myers, Johns Hopkins Bloomberg School of Public Health, "Learning from Near Misses in Medication Errors: A Bayesian Approach"
Rui Wang, Harvard University, "Nonparametric Inference Procedure for Percentiles of the Random Effects Distribution in Meta-Analysis"
Shoshana R. Daniel, University of Pennsylvania, "An Algorithm for Optimal Tapered Matching, with Application to Disparities in Survival"
Wen Gu, University of Washington, "Estimating the Capacity for Improvement in Risk Prediction with a Marker"
Nan Hu, University of Washington, "A New Synthesis Method for Multiple Linear Regression"
Megan Othus, Harvard University/Dana Farber Cancer Institute, "A Class of Semiparametric Mixture Cure Survival Models with Dependent Censoring"
Jamie Perin, The University of North Carolina at Chapel Hill, "Semiparametric Efficient Estimator for Incomplete Longitudinal Binary Data with Application to Smoking Trends"
Benjamin French, University of Washington, "Analysis of Longitudinal Data To Evaluate a Policy Change"
Ying Huang, University of Washington, "Evaluating Predictive Capacity of Continuous Biomarkers"
Michael Law, Harvard Medical School/Harvard Pilgrim HealthCare, "Is Newer Always Better? Re-evaluating the Benefits of Newer Pharmaceuticals"
Charles Minard, The University of Texas M.D. Anderson Cancer Center, "Testing for Trends in a Two-State Markov Model with Applications in Smoking Cessation Studies"
Qing Pan, University of Michigan, "Evaluating Bias Correction in Weighted Proportional Hazards Regression"
Phillip Dinh, University of Washington, "Nonparametric Statistical Methods for a Cost-Effectiveness Analysis"
Ulysses Diva, University of Connecticut, "Extending the Capture-Recapture Methodology To Estimate Disease Subpopulation Sizes in the Presence of Cross-Classification"
Haijun Ma, University of Minnesota, "Hierarchical and Joint Site-Edge Methods for Medicare Hospice Service Region Boundary Analysis"
Kate Stewart, Harvard University, "Understanding Self-Reported Disability among the Elderly: a Novel Use of Anchoring Vignettes"
Justin Timbie, Harvard University, "Methods for Profiling the Value of Hospital Care Following Acute Myocardial Infarction"
Rebecca Boehm, Medical University of South Carolina, "On the Utility of Stochastic Models of Chronic Obstructive Pulmonary Disease"
Manuela Buzoianu, Carnegie Mellon University, "Optimal Bayesian Design for Patient Selection in a Clinical Trial"
Eloise Kaizar, Carnegie Mellon University, "Do Antidepressants Cause Suicide in Children? A Bayesian Metaanalysis"
Hai (Kevin) Lin, The University of Texas M. D. Anderson Cancer Center, "A Comparison of Estimators of Population Slope under Informative Dropout"
John Robinson, Johns Hopkins University, "A Hierarchical Multivariate Two-Part Model for Profiling Providers' Effects on Health Care Charges"
Jeff M. Allen, ACT and University of Iowa, "Comparison of Fixed and Random-effects Methods for Predicting Cancer Incidence in Iowa Counties Using SEER Data"
Marianne Bertolet, Carnegie Mellon University, "Inclusion of Sampling Weights in Mixed-Effects Models: A Comparison of Two Methods"
Yulei He, University of Michigan, "Handling Missing Longitudinal Covariates in Child-development Study: A Functional Multiple Imputation Approach"
Douglas Levy, Harvard University, "Covariate Adjustment in Clinical Trials with Nonignorable Missing Data and Noncompliance"
Maria E. Montez, Boston University, "Statistical Model Comparisons for Prediction of Mental Health and Substance Abuse Cost in the Veterans Health Administration"
Anirban Basu, University of Chicago, "Estimating Marginal and Incremental Effects on Health Outcomes Using Flexible Link and Variance Function Models"
Alex de Leon, University of Alberta, "General Mixed-Data Model: Extension of General Location and Grouped Continuous Models"
I-Chan Huang, Johns Hopkins University, "Application of a Propensity Score Approach for Risk Adjustment in Multiple Physician Group Profiling on Asthma Care"
Roberto Leon-Gonzalez, University of York, "Health and Wages in Britain: An Empirical Analysis"
Min Zhang, Cornell University, "Profiling Pharmacy Expenditures in Managed Health Care: Bayesian Inference for a Two-Part Hierarchical Model"
Doug Schaubel, University of North Carolina, “Regression Modelling of Gap Time Hazard Functions for Serial Failure Time Data”
Rivka Yanetz, Bar-Ilan University, “Application of the Proportion Explained to the Analysis of Length of Stay in Hospital after Surgery”
Bingming Yi, North Caroline State University, “A Factorial Design to Optimize Cell-Based Drug Discovery Analysis”