Elizabeth Anne Sigworth Westerberg

Elizabeth Anne Sigworth Westerberg

Ph.D. Biostatistics | Medical Economics Analyst | RStats | Survival Analysis | Bayesian | Network Analysis | Meta-Analysis

Vanderbilt University

About

Elizabeth Westerberg recently completed her Ph.D. in Biostatistics at Vanderbilt University. Her research interests include survival analysis, Bayesian methods, network analysis, and meta-analysis. She worked under the advisement of Dr. Qingxia Chen, with a particular focus on applications to oncology.

In addition to her work as a Graduate Research Assistant, she has served as a Medical Economics Analyst for Wayspring, a company that contracts with health insurers to reduce opioid dependency among their members, as well as a collaborator with the Vanderbilt Brain Institute.

She is currently looking for a position in statistics or data science in the Netherlands, remote or on-site (near Amsterdam), beginning March 2023.

Interests
  • Survival Analysis
  • Bayesian Methods
  • Meta-analysis
  • RStats
Education

  • Ph.D. Biostatistics, 2022

    Vanderbilt University

  • B.A. Mathematics, 2016

    Saint Olaf College

Skills

Statistics

Bayesian methods, survival analysis, meta-analysis, regression, simulation

R

dplyr, ggplot2, RStan, JAGS, etc.

Python

numpy, pandas, scikit-learn, etc.

Data platforms

Exasol, PostgreSQL, Redshift, Google BigQuery

Development tools

GitHub, JIRA, Confluence, Trello

Reporting

RMarkdown, Tableau, LaTeX, Beamer, Microsoft Suite

Experience

 
 
 
 
 
Medical Economics Analyst
Wayspring (formerly axialHealthcare)
Jun 2018 – Present Nashville, TN, USA
  • Performed savings analyses for clients with sensitive data (medical claims and member demographics)
  • Collaborated across departments, authored executive reports, and presented in client-facing meetings
  • Utilized time-series trend forecasting, risk-adjustment, longitudinal analysis, and propensity-score designs in reporting
  • Coded automated in-house implementation of risk adjustment methodology in R and SQL
  • Began as intern in June 2018, with responsibilities shifted to part-time analyst level in May 2020
 
 
 
 
 
Biostatistics Ph.D. Candidate
Dept. Biostatistics, Vanderbilt Univ.
Aug 2016 – Dec 2022 Nashville, TN, USA
  • Developed Bayesian meta-analytic method guiding medication switching, focused on chemotherapy
  • Extensive experience with survival analysis, particularly time-dependent coefficient effects
  • Completed coursework in mathematics, probability theory, computing (R and Python), and statistical modeling
  • Served as teaching assistant for Regression Analysis, Survival Analysis, and Advanced Probability courses
 
 
 
 
 
Graduate Research Assistant
Dept. Biomedical Informatics, Vanderbilt Univ.
Jan 2018 – Dec 2022 Nashville, TN, USA
  • Focused on oncology data using clinical trial data, electronic health records, and genetic data
  • Performed meta- and network analyses in R on clinical trial publishing and co-authorship trends over time
  • Collaborated with clinicians for analyses, manuscript publication, and conference presentations
  • Dedicated effort towards multisite NIH grant 1U24CA194215
 
 
 
 
 
Neuroscience Collaborator
Vanderbilt Brain Institute
Jun 2019 – Dec 2021 Nashville, TN, USA
  • Devised statistical modeling strategies for cognitive neurophysiological datasets via Bayesian methods
  • Coauthored high impact manuscript in multidisciplinary journal (see PNAS 2021)
  • Provided ongoing statistical consultation and education to groups at the Vanderbilt Brain Institute
 
 
 
 
 
Graduate Student Association Officer
Dept. Biostatistics, Vanderbilt Univ.
Aug 2016 – May 2021 Nashville, TN, USA
  • Organized trainee events, invited guest speakers, and liaised with faculty and staff on behalf of students
  • Acted as Secretary from August 2018 - May 2019 then Vice President August 2019 - May 2021

Recent Publications

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Elizabeth A Sigworth, Ran Tao, Qingxia Chen (2022). An empirical comparison of methods for efficiently estimating time-varying effects in the Cox model. Manuscript under preparation.

Elizabeth A Sigworth, Ran Tao, Qingxia Chen (2022). Efficient estimation of the Cox model with time-varying effects under two-phase designs. Manuscript under preparation.

Elizabeth A Sigworth, Samuel M. Rubinstein, Jeremy L Warner, Yong Chen, Qingxia Chen (2022). Building a dose toxo-equivalence model from a Bayesian meta-analysis of published clinical trials. Revision under review with Ann Appl Stat.

Elizabeth A Sigworth, Samuel M. Rubinstein, Sandip Chaugai, Donna R Rivera, Philip D Walker, Qingxia Chen, Jeremy L Warner (2022). Development of a Bayesian toxo-equivalence model between docetaxel and paclitaxel. In iScience.

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Jacob A Westerberg, Elizabeth A Sigworth, Jeffrey D Schall, Alexander Maier (2022). Pop-out search instigates beta-gated feature selectivity enhancement across V4 layers. In PNAS.

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Scott D. Nelson, Allison B. McCoy, Hayley Rector, Andrew J. Teare, Tyler W. Barrett, Elizabeth A Sigworth, et al (2022). Assessment of a naloxone coprescribing alert for patients at risk of opioid overdose: a quality improvement project. In Anesth Analg.

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Katerina Andreadis, Ethan Chan, Minha Park, Natalie C Benda, Mohit M Sharma, Michelle Demetres, Diana Delgado, Elizabeth A Sigworth, Qingxia Chen, Andrew Liu, Lisa Grossman Liu, Marianne Sharko, Brian J Zikmund-Fisher, Jessica S Ancker (2021). Imprecision and preferences in interpretation of verbal probabilities in health: a systematic review. In J Gen Intern Med.

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Xuanyi Li, Elizabeth A Sigworth, Adrianne H. Wu, Jess Behrens, Shervin A. Etemad, et al (2020). Seven decades of chemotherapy clinical trials: a pan‐cancer social network analysis. In Nat Sci Rep.

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Samuel M Rubinstein, Elizabeth A Sigworth, Shervin Etemad, Richard L Martin, Qingxia Chen, Jeremy L Warner (2019). Indication of measures of uncertainty for statistical significance in abstracts of published oncology trials: a systematic review and meta-analysis. In JAMA Netw Open.

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