Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study

Ostropolets, A., Albogami, Y., Conover, M., Banda, J. M., Baumgartner, W. A., Blacketer, C., Desai, P., DuVall, S. L., Fortin, S., Gilbert, J. P., Golozar, A., Ide, J., Kanter, A. S., Kern, D. M., Kim, C., Lai, L. Y. H., Li, C., Liu, F., Lynch, K. E., … Ryan, P. B. (2023). Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. Journal of the American Medical Informatics Association, 30(5), 859–868. https://doi.org/10.1093/jamia/ocad009
Authors:
Anna Ostropolets
Yasser Albogami
Mitchell Conover
Juan M. Banda
William A. Baumgartner
Clair Blacketer
Priyamvada Desai
Scott L. DuVall
Stephen Fortin
James P. Gilbert
Asieh Golozar
Joshua Ide
Andrew S. Kanter
David M. Kern
Chungsoo Kim
Lana Y.H. Lai
Chenyu Li
Feifan Liu
Kristine E. Lynch
Evan Minty
Maria Inês Neves
Ding Quan Ng
Tontel Obene
Victor Pera
Nicole Pratt
Gowtham Rao
Nadav Rappoport
Ines Reinecke
Paola Saroufim
Azza Shoaibi
Katherine Simon
Marc A. Suchard
Joel N. Swerdel
Erica A. Voss
James Weaver
Linying Zhang
George Hripcsak
Patrick B. Ryan
Affiliated Authors:
Anna Ostropolets
Andrew S. Kanter
Linying Zhang
George Hripcsak
Patrick B. Ryan
Columbia Affiliation:
Subjects:
Research Personnel (MeSH)
Author Keywords:
credibility
observational data
open science
reproducibility
elink
Publication Type:
Article
Unique ID:
10.1093/jamia/ocad009
PMID:
36826399
DOI:
10.1093/jamia/ocad009
Journal:
Journal of the American Medical Informatics Association
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
View PubMed Record

Record Created: