This paper is in the following e-collection/theme issue:

Infectious Diseases (non-STD/STI) (1529) JMIR Theme Issue: COVID-19 Special Issue (2414) Registered Report (565) Machine Learning (1451) Chronic Conditions (239) Electronic Health Records (996) Secondary Use of Clinical Data for Research and Surveillance (348)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2023.07.27.23293272v1, first published .
Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study

Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study

Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study

Authors of this article:

Zachary Butzin-Dozier1 Author Orcid Image ;   Yunwen Ji1 Author Orcid Image ;   Haodong Li1 Author Orcid Image ;   Jeremy Coyle1 Author Orcid Image ;   Junming Shi1 Author Orcid Image ;   Rachael V Phillips1 Author Orcid Image ;   Andrew N Mertens1 Author Orcid Image ;   Romain Pirracchio2 Author Orcid Image ;   Mark J van der Laan1 Author Orcid Image ;   Rena C Patel3 Author Orcid Image ;   John M Colford1 Author Orcid Image ;   Alan E Hubbard1 Author Orcid Image ;   The National COVID Cohort Collaborative (N3C) Consortium4
Article Authors Cited by Tweetations (6) Metrics Author Video

Zachary Butzin-Dozier   1 , PhD ;   Yunwen Ji   1 , MA ;   Haodong Li   1 , MA ;   Jeremy Coyle   1 , PhD ;   Junming Shi   1 , MA ;   Rachael V Phillips   1 , PhD ;   Andrew N Mertens   1 , PhD ;   Romain Pirracchio   2 , MD ;   Mark J van der Laan   1 , PhD ;   Rena C Patel   3 , MD ;   John M Colford   1 , MD, PhD ;   Alan E Hubbard   1 , PhD ;   The National COVID Cohort Collaborative (N3C) Consortium   4

1 Division of Biostatistics, University of California Berkeley School of Public Health, Berkeley, CA, United States

2 Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, CA, United States

3 Department of Infectious Diseases, University of Alabama at Birmingham School of Medicine, Birmingham, AL, United States

4 Members are listed at the end of the manuscript, Rockville, MD, United States

Corresponding Author:

  • Zachary Butzin-Dozier, PhD
  • Division of Biostatistics
  • University of California Berkeley School of Public Health
  • 2121 Berkeley Way
  • Berkeley, CA, 94720
  • United States
  • Phone: 1 3024376262
  • Email: zbutzin@berkeley.edu