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Benjamin Alan Goldstein

Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Translational Biomedical
Duke Box 2721, Durham, NC 27710
2424 Erwin Road Ste 902, 9023 Hock Plaza, Durham, NC 27705

Selected Grants


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 Institutes of Health · 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

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 Institutes of Health · 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

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

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

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