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Prevention Science : the Official Journal of the Society for Prevention Research|April 20, 2020
Finite Mixture Models with Student t Distributions: an Applied ExampleAlbert J Burgess-Hull
Drug and Alcohol Dependence|February 26, 2022
Trajectories of craving during medication-assisted treatment for opioid-use disorder: Subtyping for early identification of higher riskAlbert J Burgess-Hull, Leigh V Panlilio, Kenzie L Preston, et al.
Psychology of Addictive Behaviors : Journal of the Society of Psychologists in Addictive Behaviors|December 19, 2017
The social networks of smokers attempting to quit: An empirically derived and validated classificationAlbert J Burgess-Hull, Linda J Roberts, Megan E Piper, et al.
Journal of Addiction Medicine|August 1, 2022
Using Machine Learning to Predict Treatment Adherence in Patients on Medication for Opioid Use DisorderAlbert J Burgess-Hull, Caleb Brooks, David H Epstein, et al.
Drug and Alcohol Dependence|July 6, 2021
Longitudinal patterns of momentary stress during outpatient opioid agonist treatment: A growth-mixture-model approach to classifying patientsAlbert J Burgess-Hull, Kirsten E Smith, Destiny Schriefer, et al.
Vaccine|June 7, 2011
HPV vaccination among a community sample of young adult womenLisa E Manhart, Albert J Burgess-Hull, Charles B Fleming, et al.
Journal of Substance Use and Addiction Treatment|November 19, 2023
Activity space during treatment with medication for opioid use disorder: Relationships with personality, mood, and drug useLeigh V Panlilio, Albert J Burgess-Hull, Jeffrey D Feldman, et al.
NPJ Digital Medicine|March 21, 2020
Prediction of stress and drug craving ninety minutes in the future with passively collected GPS dataDavid H Epstein, Matthew Tyburski, William J Kowalczyk, et al.
Psychological Assessment|August 18, 2022
Variability in intensively assessed mood: Systematic sources and factor structure in outpatients with opioid use disorderSamuel W Stull, Jacqueline Mogle, Jeremiah W Bertz, et al.
Psychopharmacology|September 29, 2020
Beyond abstinence and relapse: cluster analysis of drug-use patterns during treatment as an outcome measure for clinical trialsLeigh V Panlilio, Samuel W Stull, Jeremiah W Bertz, et al.
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