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Benjamin Alan Goldstein
Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Translational Biomedical
ben.goldstein@duke.edu
Duke Box 2721, Durham, NC 27710
2424 Erwin Road Ste 902, 9023 Hock Plaza, Durham, NC 27705
Research
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Selected Grants
Duke-NCCU Interdisciplinary Postdoctoral Training Program in Child Psychiatric and Neurodevelopmental Conditions Program (DN-IPT)
Inst. Training Prgm or CME
Preceptor ·
Awarded by National Institutes of Health ·
2024 - 2029
Electrophysiological biomarkers of social engagement in autism
Research
Collaborator ·
Awarded by National Institutes of Health ·
2024 - 2028
Clinical and host microbiome features in the development of acute otitis media
Research
Co-Mentor ·
Awarded by National Institutes of Health ·
2023 - 2028
Impact of Autonomic Dysfunction on Multi-Organ Dysfunction following Severe TBI: The AUTO-BOOST Study
Research
Co Investigator ·
Awarded by National Institute of Neurological Disorders and Stroke ·
2023 - 2028
Mobile technologies to screen for prediabetes and type 2 diabetes in asymptomatic adults
Research
Co Investigator ·
Awarded by National Institutes of Health ·
2023 - 2028
Mechanistic Study of Inspiratory Training in Childhood Asthma
Research
Co Investigator ·
Awarded by National Institutes of Health ·
2023 - 2028
Machine Learning Methods to Develop and Deploy Real-Time Risk Surveillance for Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder from the Electronic Health Record
Research
Co-Mentor ·
Awarded by National Institute of Mental Health ·
2022 - 2027
POWER: Predicting Obesity with Enhanced EHR Resources
Research
Advisor ·
Awarded by Eunice Kennedy Shriver National Institute of Child Health and Human Development ·
2022 - 2027
Integrated Biostatistical Training for CVD Research
Inst. Training Prgm or CME
Mentor ·
Awarded by North Carolina State University ·
2022 - 2027
Duke Program of Training in Pulmonary ReSearch to Promote, Engage and Retain Academic Researchers (PROSPER)
Inst. Training Prgm or CME
Preceptor ·
Awarded by National Heart, Lung, and Blood Institute ·
2022 - 2026
Advancing Identification of Late-Talking Children and Mapping their Developmental Trajectories Using Real World Data from Electronic Health Records
Research
Principal Investigator ·
Awarded by National Institutes of Health ·
2024 - 2026
Advanced computational approaches for integrating data to assess effect heterogeneity
Research
Co Investigator ·
Awarded by Johns Hopkins University ·
2021 - 2025
Engaging Multidisciplinary Health System Stakeholders to Create a Process for Implementing Machine-Learning Enabled Clinical Decision Support
Research
Co-Principal Investigator ·
Awarded by National Institutes of Health ·
2022 - 2025
Combining data sources to identify effect moderation for personalized mental health treatment
Research
Co Investigator ·
Awarded by Johns Hopkins University ·
2021 - 2025
Predictive Analytics in Hemodialysis: Enabling Precision Care for Patient with ESKD
Research
Principal Investigator ·
Awarded by National Institutes of Health ·
2020 - 2025
Addressing Bias from Missing Data in EHR Based Studies of CVD
Research
Collaborator ·
Awarded by National Institutes of Health ·
2018 - 2023
Using simulation modeling and real-world data to monitor the effectiveness of the COVID-19 vaccine
Research
Principal Investigator ·
Awarded by Food and Drug Administration ·
2021 - 2023
Early Identification and Prevention of Child Maltreatment: Cross-Agency Processes and Outcomes
Research
Biostatistician Investigator ·
Awarded by Duke Endowment ·
2019 - 2022
Using electronic health records to identify and assess adverse events for biologics therapies: developing and validating methodological approaches
Research
Principal Investigator ·
Awarded by Food and Drug Administration ·
2020 - 2022
QuBBD: Deep Poisson Methods for Biomedical Time-to-Event and Longitudinal Data
Research
Co Investigator ·
Awarded by National Institutes of Health ·
2017 - 2021
CPM Analysis
Research
Principal Investigator ·
Awarded by Sanofi-Aventis Deutschland GmbH ·
2016 - 2021
A County-level spatiotemporal multi-dimensional database to define risk modifiers of environmentally triggered severe asthma exacerbations in children
Research
Co-Principal Investigator ·
Awarded by National Institutes of Health ·
2019 - 2021
Machine Learning Platform for Surgical Risk Prediction and Modification
Research
Biostatistician ·
Awarded by kelaHealth, Inc ·
2017 - 2018
Understanding and predicting cardiac events in HD using real-time EHRs
Research
Principal Investigator ·
Awarded by National Institutes of Health ·
2013 - 2018
