Published on in Vol 21, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14950, first published .
Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks

Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks

Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks

Corrigenda and Addenda

1Department of Bioengineering, Stanford University, Stanford, CA, United States

2Department of Biomedical Data Science, Stanford University, Stanford, CA, United States

3Department of Computer Science, Stanford University, Stanford, CA, United States

4Department of Neuroscience, Stanford University, Stanford, CA, United States

5Department of Pediatrics, Stanford University, Stanford, CA, United States

6Department of Psychology, Stanford University, Stanford, CA, United States

7Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States

8Division of Systems Medicine, Department of Biomedical Data Science, Stanford University, Palo Alto, CA, United States

Corresponding Author:

Dennis Paul Wall, PhD

Division of Systems Medicine

Department of Biomedical Data Science

Stanford University

1265 Welch Rd

Palo Alto, CA,

United States

Phone: 1 617 304 6031

Email: dpwall@stanford.edu



The authors of “Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks” (J Med Internet Res 2019;21(5):e13668) missed an important source of funding in the Acknowledgments section — Wu Tsai Neurosciences Institute Neuroscience: Translate Program. The revised Acknowledgments section now appears as follows:

We thank all the crowd workers and citizen scientists who participated in the studies. These studies were supported by awards to DW by the National Institutes of Health (1R21HD091500-01 and 1R01EB025025-01). Additionally, we acknowledge the support of grants to DW from The Hartwell Foundation, the David and Lucile Packard Foundation Special Projects Grant, Beckman Center for Molecular and Genetic Medicine, Coulter Endowment Translational Research Grant, Berry Fellowship, Spectrum Pilot Program, Stanford’s Precision Health and Integrated Diagnostics Center (PHIND), Wu Tsai Neurosciences Institute Neuroscience: Translate Program, and Stanford’s Institute of Human Centered Artificial Intelligence as well as philanthropic support from Mr. Peter Sullivan. HK would like to acknowledge support from the Thrasher Research Fund and Stanford NLM Clinical Data Science program (T-15LM007033-35).

The correction will appear in the online version of the paper on the JMIR website on June 27, 2019, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article also has been resubmitted to those repositories.

Edited by G Eysenbach; This is a non–peer-reviewed article. submitted 06.06.19; accepted 13.06.19; published 27.06.19

Copyright

©Peter Washington, Haik Kalantarian, Qandeel Tariq, Jessey Schwartz, Kaitlyn Dunlap, Brianna Chrisman, Maya Varma, Michael Ning, Aaron Kline, Nathaniel Stockham, Kelley Paskov, Catalin Voss, Nick Haber, Dennis Paul Wall. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.06.2019.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.