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Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks.
Washington, Peter; Kalantarian, Haik; Tariq, Qandeel; Schwartz, Jessey; Dunlap, Kaitlyn; Chrisman, Brianna; Varma, Maya; Ning, Michael; Kline, Aaron; Stockham, Nathaniel; Paskov, Kelley; Voss, Catalin; Haber, Nick; Wall, Dennis Paul.
Afiliação
  • Washington P; Department of Bioengineering, Stanford University, Stanford, CA, United States.
  • Kalantarian H; Department of Biomedical Data Science, Stanford University, Stanford, CA, United States.
  • Tariq Q; Department of Biomedical Data Science, Stanford University, Stanford, CA, United States.
  • Schwartz J; Department of Biomedical Data Science, Stanford University, Stanford, CA, United States.
  • Dunlap K; Department of Biomedical Data Science, Stanford University, Stanford, CA, United States.
  • Chrisman B; Department of Bioengineering, Stanford University, Stanford, CA, United States.
  • Varma M; Department of Computer Science, Stanford University, Stanford, CA, United States.
  • Ning M; Department of Biomedical Data Science, Stanford University, Stanford, CA, United States.
  • Kline A; Department of Biomedical Data Science, Stanford University, Stanford, CA, United States.
  • Stockham N; Department of Neuroscience, Stanford University, Stanford, CA, United States.
  • Paskov K; Department of Biomedical Data Science, Stanford University, Stanford, CA, United States.
  • Voss C; Department of Computer Science, Stanford University, Stanford, CA, United States.
  • Haber N; Department of Biomedical Data Science, Stanford University, Stanford, CA, United States.
  • Wall DP; Department of Pediatrics, Stanford University, Stanford, CA, United States.
J Med Internet Res ; 21(6): e14950, 2019 Jun 27.
Article em En | MEDLINE | ID: mdl-31250828
ABSTRACT
[This corrects the article DOI 10.2196/13668.].

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article