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Dawson Haddox

@dawsonhaddox.bsky.social
90 followers 103 following 14 posts

Clinical Psychology PhD Student at UArizona | Machine Learning, Measurement, Precision Therapeutics dawsonhaddox.com

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Dawson Haddox @dawsonhaddox.bsky.social · 21/08/2026
🚨 New preprint! Across six studies (N=2,467), we evaluated three modular adaptations to the PHQ depression measures: separating double-barreled items, adding irritability and low-libido items, and supporting past-week assessment. 🧵1/7 osf.io/preprints/ps...
Screenshot of the abstract for “Modular Patient Health Questionnaire (PHQ-9) Adaptations for Symptom-Level and Past-Week Depression Assessment in Clinical and Nonclinical Adults.”
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Dawson Haddox @dawsonhaddox.bsky.social · 03/06/2026
I had a great time giving my first conference talks, sharing my work on depression assessment and digital phenotyping at #APS26BCN! Grateful to my mentor (@depressionlab.bsky.social), my collaborators (Drs. Fried, Allen, Craske, Sachdeva, and many others), and everyone I met and learned from there.
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Reposted by Dawson Haddox
Matt Southward @mattsouthward.bsky.social · 29/05/2026
*Everyone* wants to know how we can use intensive longitudinal data to advance predictive models of mental health outcomes! #APS2026BCN @psychscience.bsky.social
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Reposted by Dawson Haddox
Eiko Fried @eikofried.bsky.social · 27/05/2026
3/5 FRI 12:30pm: Discussant in a symposium organized by @dawsonhaddox.bsky.social on "Advancing Predictive Models of Mental Health Outcomes Using Intensive Longitudinal Data". Will make this very brief to make sure presenters get as many questions about their work as possible.
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Reposted by Dawson Haddox
Miri Forbes @miriforbes.bsky.social · 12/05/2026
Turns out empirically derived phenotypes (data-driven symptom sets) nested within traditional mental disorders can help reduce diagnostic heterogeneity! We learned so much cool and interesting stuff in this study. I could talk (/post) about it all day, but here’s a few highlights (🧵)
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Dawson Haddox @dawsonhaddox.bsky.social · 18/03/2026
Super interesting read!
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Reposted by Dawson Haddox
Zachary Cohen @depressionlab.bsky.social · 17/12/2025
1/n Out today in @jamapsychiatry.com: Interpretation Issues With the Patient Health Questionnaire Instructions. We find troubling variability in whether people think they should respond based on the frequency of the Sx or the frequency of being bothered by the Sx. jamanetwork.com/journals/jam...
jamanetwork.com
Interpretation Issues With the Patient Health Questionnaire Instructions
This survey study assesses whether responses to the Patient Health Questionnaire reflect symptom frequency and severity.
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Reposted by Dawson Haddox
Dominique Maciejewski 🟥 @domimaciejewski.bsky.social · 07/11/2025
What a week! After 5 days, the #mitnb workshop has come to an end. We had a keynote on time scales and two workshops on careless responding and reliability. The central part of the workshops were the hackathons. We had super diverse hackathons, all designed to assess measurement in #ESM. (1/4)
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Reposted by Dawson Haddox
Björn Siepe @bsiepe.bsky.social · 22/10/2025
We built the openESM database: ▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place ▶️Harmonized (meta-)data, fully open-source software ▶️Filter & search all data, simply download via R/Python Find out more: 🌐 openesmdata.org 📝 doi.org/10.31234/osf...
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