James Borders
@jamescborders
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PhD, CCC-SLP • Postdoctoral Fellow @TeachersCollege in the @AirwayLab • dysphagia, dystussia, meta-science • he/him
New York, NY
Joined January 2015
Interested in learning about data sharing? Dr. Micah Hirsch and I will be hosting a free webinar through CSDisseminate. 🗓 June 3.⏰ 4-5pm EST.🔗 Register:
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RT @DayLabUAB: I am not normally an alarmist, but these are not normal times. This change would cripple research infrastructure at hundreds….
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RT @VirusesImmunity: NIH indirect costs fund the backbone of research: maintaining labs, ensuring safety, and supporting admin work. These….
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RT @KordingLab: Slashing NIH funding won’t end ‘waste’—it creates more underpowered (too small) studies that don’t work. If we want real br….
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Anyone know of a behavioral clinical trial that used a sequential analysis to potentially stop early for futility or efficacy? (eg . I'm particularly interested in how one would justify this to a grant agency. @lakens #AcademicTwitter.
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RT @curtisAIRlab: Check out this article investigating the relationship between RSC and pharyngeal residue, penetration, and aspiration in….
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And provide a free website interface with R code to generate your own synthetic datasets - We hope this study will encourage discussion on the merits and barriers of data sharing in CSD, as well as the utility of synthetic data.
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In this study, we found that synthetic data largely maintained the statistical properties across studies representing the ASHA Big 9 domains. We conclude with a proposed framework for sharing different types of data
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Synthetic data involves creating an artificial dataset that doesn't represent real participants but maintains the dataset's statistical properties. These methods have been around for >30 years and are used across academic fields and government agencies like the US census bureau.
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Reproducibility is a core principle of science, but requires sharing data. Unfortunately, data sharing is uncommon in the field of CSD. Concerns largely center around maintaining participant confidentiality, particularly when consent cannot be obtained.
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Excited to share a new preprint with @ek_kearney & @SLPAustin where we examine how synthetic data can be used to share sensitive data in CSD while maintaining participant confidentiality & statistical properties of the dataset. A brief 🧵.
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RT @MichaelOkun: We lose our coughing ability slowly and progressively w/ Parkinson's. What if we train folks to improve cough? Could we im….
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RT @NIH_NINDS: @PittTweet @UCSanDiego @UNC @UABNews Michelle Troche, Ph.D., CCC-SLP (@TeachersCollege) has made it her mission to diversify….
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Had a great time presenting at the NYC Dysphagia Study Group last night, sharing research on cough skill training! So grateful for the engaging discussions and opportunity to connect with SLPs in the area. #Dysphagia #SLP
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.@OSFramework this would be great for preprints on OSF.
Students at Stanford have built alphaXiv, an open discussion forum for arXiv papers. Think of it as 𝕏 for research.
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RT @AirwayLab: We are thrilled to share the official job posting for a Clinical Fellowship in the UAD Lab! If you are interested, use the l….
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RT @AlexSwiderski: Happy to share that @PittCSD will be hosting our 3rd FREE intro to R bootcamp this summer across 12 hours over 8/13-8/1….
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RT @AirwayLab: The @AirwayLab and @SRL_NYU are joining forces again to raise money to support early stage investigators and the future of d….
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This was such a great read. My favorite part:
New preprint with Andrew Gelman @StatModeling: .How statistical challenges and misreadings of the literature combine to produce unreplicable science: An example from psychology.
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