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Magdalena Cerda

New York University (NYU) - Department of Population Health

SCHOLARLY PAPERS

3

DOWNLOADS

295

TOTAL CITATIONS

1

Scholarly Papers (3)

1.

Economic Evaluation in Opioid Modeling: Systematic Review

Number of pages: 26 Posted: 27 May 2020
Harvard University - Harvard Medical School, Massachusetts General Hospital, Harvard University - Harvard Medical School, Harvard College, Columbia University - Mailman School of Public Health, College of Public Health, The Ohio State University, New York University (NYU) - Department of Population Health, Columbia University and Harvard University - Harvard Medical School
Downloads 138 (537,489)

Abstract:

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2.

Retention and Critical Outcomes Among New Methadone Maintenance Patients Following Extended Take-Home Reforms

Number of pages: 20 Posted: 16 May 2023
Mayo Clinic - College of Medicine and Science, New York University (NYU) - Department of Population Health, New York State Psychiatric Institute (NYSPI), New York State Psychiatric Institute (NYSPI), New York State Psychiatric Institute (NYSPI), New York University (NYU) - Department of Population Health, New York University (NYU) - Department of Population Health and Columbia University - Department of Psychiatry
Downloads 128 (576,708)
Citation 1

Abstract:

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opioid use disorder, methadone maintenance, opioid agonist therapy, opioid substitution treatment

3.

Evaluating the Predictive Performance of Different Data Sources to Forecast Overdose Deaths at the Neighborhood Level with Machine Learning in Rhode Island

Number of pages: 23 Posted: 15 Nov 2024
affiliation not provided to SSRN, New York University (NYU) - Department of Population Health, Brown University, affiliation not provided to SSRN, Brown University, Brown University, affiliation not provided to SSRN, Brown University, New York University (NYU) - Department of Population Health, Brown University - Department of Epidemiology, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 29 (1,345,526)

Abstract:

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Overdose, Forecast, Machine learning, Community Health, substance use