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Authors' Reply: Commentary on “Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line”

Authors' Reply: Commentary on “Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line”

[Editorial Note:While we found no intent to deceive on the part of the authors, we disagree with this interpretation; see corrigendum to Pisani et al’s 2019 publication [4]]. We should note that our author group appreciated the opportunity to consider this question. Most agreed that, while not required nor customary, there would be no harm—and could be some potential benefit—in disclosing unpaid advisory board service, and some of us will choose to do so in the future (eg,[5]).

Anthony R Pisani, Carlos Gallo, Madelyn S Gould, Nitya Kanuri, John E Marcotte, Brian Pascal, David Rousseau, Megan L Ranney, Bob Filbin, Shairi Turner

J Med Internet Res 2025;27:e59734

Efficacy of Web-Based Collection of Strength-Based Testimonials for Text Message Extension of Youth Suicide Prevention Program: Randomized Controlled Experiment

Efficacy of Web-Based Collection of Strength-Based Testimonials for Text Message Extension of Youth Suicide Prevention Program: Randomized Controlled Experiment

Restricted maximum likelihood estimation via lme() in R ×64-bit version 3.1.1 was used to fit all models. We decided a priori in consultation with our biostatistician (DP) to use significance level of .10 in order to match the scientific needs of testing a novel procedure–that is, to mitigate the risk of throwing out a useful procedure based on an overly rigorous (and arbitrary) P level [34,35].

Phyo Thiha, Anthony R Pisani, Kunali Gurditta, Erin Cherry, Derick R Peterson, Henry Kautz, Peter A Wyman

JMIR Public Health Surveill 2016;2(2):e164