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You are here: Home / Member News / Section News / Survey Research Methods Section News

Survey Research Methods Section News

November 1, 2023 Leave a Comment

At JSM 2023, the Survey Research Methods Section sponsored six invited sessions, nine topic-contributed sessions, eight contributed sessions, and 18 poster and speed entries on a variety of topics. SRMS also co-sponsored various other sessions. Below is a list of the sessions for which SRMS was the main sponsor:

Invited Sessions

  • “Formally Private Disclosure Limitation Methods for Establishment Data,” organized and chaired by Daniell Toth
  • “Missing Data: The Where, the How, and the Why,” organized by Sahar Zangeneh and chaired by Matt Williams
  • “Modern Techniques in Robust Estimation for Handling Outliers and Influential Units,” organized by Sixia Chen and chaired by David Haziza
  • “Advanced Methods of Using Auxiliary Information to Improve Inferences of Population Quantities,” organized by Lingxiao Wang and chaired by Sixia Chen
  • “Using Machine Learning and Data Science Methods to Improve Model-Assisted Estimation and Survey Design,” organized by Morgan Earp and chaired by Katherine Thompson
  • “Contributions to Inference from Survey Samples,” organized by Balgobin Nandram and chaired by Guofen Yan

Topic-Contributed Sessions

  • 50 Years of NCVS Data: What We’ve Accomplished and Where We Are Headed,” organized by Heather Brotsos and chaired by Alex Piquero
  • “Recent Advances in Statistical Modeling and Machine Learning for Dependent Data in Official Statistics and Survey Methodology,” organized and chaired by Scott Holan
  • “40 Years of the Survey of Consumer Finances: Building a Community of Use for Evidence Building,” organized and chaired by Arthur Kennickell
  • “Cell Suppression Methods for Economic Census and Establishment Surveys,” organized and chaired by Yang Cheng
  • “Combining Economic Survey Data with Other Data Sources,” organized by Christopher Henry, Heng Chen, and Angelika Welte and chaired by Heng Chen
  • “Field Survey Labor Challenges in the US, organized and chaired by Brad Edwards
  • “Getting the Utility Out of Privatized Data,” organized by Daniell Toth and chaired by Michael Hawes
  • “Cryptocurrency Surveys: What Data Tells Us?,” organized by Daniela Balutel and chaired by Christopher Henry
  • “Measurement of Sexual Orientation and Gender Identity in Federal Surveys,” organized by Kathy Ott and Struther VanHorn and chaired by Kathy Ott

Contributed Sessions

  • “Exploring Auxiliary Resources at Early Stages in the Sampling Process,” chaired by Katherine Irimata
  • “Hierarchical Models for Survey Data,” chaired by Akhil Vaish
  • “Evaluating and Addressing Survey Nonresponse,” chaired by Daifeng Han
  • “Survey and Data Science,” chaired by Victoria Landsman
  • “Analyzing Health Survey Data,” chaired by Erin Tanenbaum
  • “Sampling and Evaluation Strategies to Improve Coverage and Response,” chaired by Eric Rancourt
  • “Weighting Adjustments,” chaired by Evrim Oral
  • “Model-Based Estimation for Survey Data,” chaired by Justin McIllece

Contributed Speed Posters

  • “Propensity Score Weighting with Survey Weighted Data When Outcomes Are Binary,” presented by Chen Yang
  • “Generalized Estimating Equations for Interpretable Coefficients of Trends, Seasonality, and Covariates,” presented by Harold Gomes
  • “Outlier Detection for Administrative Data,” presented by John Bunker
  • “Using Propensity Score Estimation with Survey Weighted Data to Estimate Population Treatment Effects,” presented by Lihua Li
  • “Evaluating the Hidiroglou-Berthelot Method for Survey Data Collected by the US EIA,” presented by Michael Winkler
  • “Constructing Better ‘Confidence’ Intervals for Proportions and Tests of Differences Among Them,” presented by Phillip Kott
  • “To Calibrate or Not to Calibrate: Disability Measurement and Calibration in a State Health Survey,” presented by Robert Ashmed
  • “Calibrating the Census’ Low Response Score,” presented by Patrick Coyle
  • “Creating Compact Sampling Units Meeting Population Constraints for In-Person Surveys,” presented by Stephanie Zimmer

Contributed Posters

  • “Equating Monitor-Based to Self-Reported Physical Activity by Zero-Inflated Quantile Regression,” presented by Chengpeng Zeng
  • “Extension of Ardah and Oral’s Two-Stage RRT to the Polychotomous Case,” presented by Evrim Oral
  • “Uncertainty Estimation for US Crime Estimates Using the National Incident-Based Reporting System,” presented by George Couzens
  • “Error Sources, Data Summaries, and Data Cleaning from a World War I–Era Survey,” presented by Gerald Shoultz
  • “Estimation of US County-Level Average Unhealthy Days by Zero-Inflated Model and Hurdle Model,” presented by Yan Wang
  • “Dynamic Time-to-Event Models for Future Call Attempts Required Until Interview or Refusal,” presented by Xinyu Zhang
  • “The Seat-Belt Use Rate Study, Based on Iowa’s Data,” presented by Zirou Zhou
  • “Machine Learning Applications to Survey Quality Control and Fraud Detection,” presented by Timothy Van Blarcom

In addition, SRMS honors the best poster presentations it sponsors or co-sponsors at JSM. This year’s winners are the following:

  • Poster: Timothy Van Blarcom, D3 Systems, for “Machine Learning Applications to Survey Quality Control and Fraud Detection”
  • Speed Poster: Harold Gomes, National Institute for Occupational Safety and Health, for “Generalized Estimating Equations for Interpretable Coefficients of Trends, Seasonality, and Covariates”

Furthermore, we congratulate Chengpeng Zeng of Iowa State University, winner of the 2023 Student Travel Award.

Filed Under: Section News, Survey Research Methods Tagged With: 2023 Joint Statistical Meetings, 2023 Student Travel Award, ASA, award, Awards, Joint Statistical Meetings, JSM, JSM 2023, JSM 2023 Toronto, section, Sessions, SRMS, statistician, statisticians, statistics, student travel award, Survey Research Methods Section, travel award

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