The Survey Research Methods Section (SRMS) is sponsoring several mission-enabling sessions at the 2024 Joint Statistical Meetings (JSM). These sessions are aimed at promoting survey science, rigorous use of survey research methods, and their role in informing policy and countering misinformation in Statistics and Data Science. We are organizing four invited sessions, nine topic-contributed sessions, ten contributed sessions, seven contributed speed presentations, five contributed posters, one professional development course, and two roundtable lunches as the main sponsor.
Below is a list of activities sponsored by SRMS. For more information, see the JSM Online Program.
Invited Paper Sessions
· Bayesian Dependent Data Models and Machine Learning for Official Statistics and Survey Methodology
· Combining Probability and Non-Probability Data: Considerations, Methods, and Applications
· Challenging Aspects of Small Area and Survey Research
· Innovative Statistical and Machine Learning Methods for Survey Data
Topic Contributed Paper Sessions
· Innovative Modeling Approaches for Small Area Estimation in the Presence of Complex Dependence Structures
· Statistical Methods for Survey Data Integration and its Related Topics
· Navigating Complexity: Recent Advances in Analysis of Data from Complex Surveys
· Survey Data Analysis and Small Area Estimation: Some Innovative Contributions of Dr. Ralph Folsom
· Generating Select Synthetic Data
· Leveraging External Data Sources to Improve Federal Government Surveys
· Cleaning Products for Your Data: Four Studies in Editing and Imputation
· Bolstering Health Survey Data with Health-Related Administrative Data: Organizational Infrastructure and Analytic Examples
· Using Advanced AI Methods to Improve Statistical Estimation and Official Statistics at the Internal Revenue Service
Contributed Paper Sessions
· Recent Advances in Evaluating Mode Effects
· Innovative Methods for Survey Sampling
· Recent Advances in Estimation Methods for Survey Data
· Big Data Initiatives in Survey Statistics
· Challenges in Error Estimation for Survey Data
· Nonresponse Adjustment Methods for Survey Data
· Innovations in Survey Methodology
· Model-Based Estimation Methods for Survey Data
· Novel Imputation and Raking Methods in Sample Surveys
· Survey Data Collection, Estimation, and Disclosure Limitation Methods
Contributed Speed Presentations
· A Practical Approach for Case Prioritization in A Panel Survey
· Analysis of Total Survey Error in the 2022 National Immunization Survey-Child
· Analyzing Survey Data with Tree Models: rpms R Package
· Cross-fitting model evaluation for small area estimation using complex survey data
· Evaluation of Data Quality and Imputation Methods for EIA’s Liquefied Natural Gas Storage Report
· Model-Assisted Double-Coding of Open-Ended Survey Questions with Large Language Models
· Multilevel Regression and Poststratification with Population Margins: Application to HIV Inference
Contributed Posters
· A Survival Analysis for Respondent Burden in the American Community Survey Across Household Language
· Generalized Least Squares in Non-Monotone Missing Data
· Improving generalizability in the Penalized Spline of Propensity Methods for Treatment Comparison
· The Use of QR Codes in a National, Multimode Survey
· Unique Challenges of Weighting Calibration and Impact on COVID-19 Vaccine Hesitancy Outcomes
Professional Development Course
Data Integration in Surveys and Clinical Trials: Methods and Software
Roundtables
· Resampling Techniques for Small Area Statistics
· Survey Weight Calibration in R: Workflows and Pitfalls
Furthermore, we invite you to attend the GSS/SRMS/SSS Student Paper Competition Award Winners’ presentation of their award-winning papers on Thursday, August 8 at 10:30 AM and congratulate our student winners.
Finally, don’t forget to attend the SRMS Business Meeting and Mixer on Wednesday, August 7 at 6:00 PM and learn more about SRMS activities. We are looking forward to seeing you all at the SRMS Business Meeting and Mixer on Wednesday.
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Pushpal Mukhopadhyay, Ph.D.
Office of Statistical Methods and Research
Office of Energy Statistics
U.S. Energy Information Administration
pushpal.mukhopadhyay@eia.gov
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