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

AT A GLANCE

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1. Education

Academic Experience
1. Current Appointments & Affiliations
2. Previous Appointments & Affiliations

Expertise
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Research
1. Selected Grants

Publications
1. Selected Publications

Artistic Works / Events

Teaching

Advising & Mentoring

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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 CMEPreceptor · Awarded by National Institutes of Health · 2024 - 2029

Clinical and host microbiome features in the development of acute otitis media

ResearchCo-Mentor · Awarded by National Institutes of Health · 2023 - 2028

Impact of Autonomic Dysfunction on Multi-Organ Dysfunction following Severe TBI: The AUTO-BOOST Study

ResearchCo 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

ResearchCo Investigator · Awarded by National Institutes of Health · 2023 - 2028

Mechanistic Study of Inspiratory Training in Childhood Asthma

ResearchCo Investigator · Awarded by National Institutes of Health · 2023 - 2028

Duke-NCCU Interdisciplinary Postdoctoral Training Program in Child Psychiatric and Neurodevelopmental Conditions Program (DN-IPT)

Inst. Training Prgm or CMEPreceptor · Awarded by National Institutes of Health · 2024 - 2029

Clinical and host microbiome features in the development of acute otitis media

ResearchCo-Mentor · Awarded by National Institutes of Health · 2023 - 2028

Impact of Autonomic Dysfunction on Multi-Organ Dysfunction following Severe TBI: The AUTO-BOOST Study

ResearchCo 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

ResearchCo Investigator · Awarded by National Institutes of Health · 2023 - 2028

Mechanistic Study of Inspiratory Training in Childhood Asthma

ResearchCo 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

ResearchCo-Mentor · Awarded by National Institutes of Health · 2022 - 2027

POWER: Predicting Obesity with Enhanced EHR Resources

ResearchAdvisor · Awarded by National Institutes of Health · 2022 - 2027

Integrated Biostatistical Training for CVD Research

Inst. Training Prgm or CMEMentor · 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 CMEPreceptor · Awarded by National Institutes of Health · 2022 - 2026

Combining data sources to identify effect moderation for personalized mental health treatment

ResearchCo Investigator · Awarded by Johns Hopkins University · 2021 - 2025

Advanced computational approaches for integrating data to assess effect heterogeneity

ResearchCo Investigator · Awarded by Johns Hopkins University · 2021 - 2024

Engaging Multidisciplinary Health System Stakeholders to Create a Process for Implementing Machine-Learning Enabled Clinical Decision Support

ResearchCo-Principal Investigator · Awarded by National Institutes of Health · 2022 - 2024

Predictive Analytics in Hemodialysis: Enabling Precision Care for Patient with ESKD

ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2020 - 2024

Using simulation modeling and real-world data to monitor the effectiveness of the COVID-19 vaccine

ResearchPrincipal Investigator · Awarded by Food and Drug Administration · 2021 - 2023

Addressing Bias from Missing Data in EHR Based Studies of CVD

ResearchCollaborator · Awarded by National Institutes of Health · 2018 - 2023

Early Identification and Prevention of Child Maltreatment: Cross-Agency Processes and Outcomes

ResearchBiostatistician 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

ResearchPrincipal Investigator · Awarded by Food and Drug Administration · 2020 - 2022

QuBBD: Deep Poisson Methods for Biomedical Time-to-Event and Longitudinal Data

ResearchCo Investigator · Awarded by National Institutes of Health · 2017 - 2021

CPM Analysis

ResearchPrincipal 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

ResearchCo-Principal Investigator · Awarded by National Institutes of Health · 2019 - 2021

Machine Learning Platform for Surgical Risk Prediction and Modification

ResearchBiostatistician · Awarded by kelaHealth, Inc · 2017 - 2018

Understanding and predicting cardiac events in HD using real-time EHRs

ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2013 - 2018