Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
P
Paul Rogers
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Biostatistician
Also affiliated: Pennsylvania Department of Health (2012); United States Food and Drug Administration (2021–2025); United States Department of Veterans Affairs (1992); University of Huddersfield (1974); Federal Aviation Administration (2009–2017); University of Bradford (1981–2024); University of Calgary (2012); Purdue University West Lafayette (1989); Heidelberg University (1989); Veterans Health Administration (1992); Civil Aerospace Medical Institute (2009–2018); University of Pittsburgh at Bradford (2014); Cancer Research And Biostatistics (2025); Numerical Method (China) (2018); Peace Research and European Security Studies (1989); Institution of Structural Engineers (1967); Memphis Health Center (1992); Peace Museum (2014); University of Houston - Clear Lake (1990); University of Baltimore (1992); University of Pennsylvania (2012)
Faculty Researcher
9 h-index
90 pubs
363 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Paul Rogers is a biostatistician whose research focuses on the application of data mining and artificial intelligence techniques to analyze adverse events and health outcomes. He has investigated opioid-related cardiovascular risks, particularly in women, and examined sex-based differences in the immunotoxicity of silver nanoparticles. Rogers has also worked on developing health metrics, such as a modified Charlson Comorbidity Index for the American Indian population, utilizing data from the Strong Heart Study. His work involves normalizing drug names using RxNorm for analyses of the FDA adverse events reporting system and leveraging the Medical Information Mart for Intensive Care (MIMIC) database for studies on opioid poisoning in intensive care patients. Rogers has collaborated with several researchers at the National Center for Toxicological Research, including Beverly Lyn-Cook, Wen Zou, Weigong Ge, and Dong Wang.
Metrics
- h-index: 9
- Publications: 90
- Citations: 363
Selected Publications
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Abstract MPTU06: Prediction of cardiovascular diseases using statistical and machine learning approaches: The Strong Heart Study (2026)
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Exposure to a Titanium Dioxide Product Alters MicroRNA Expression in Human Cells (2026)
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AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women (2025)
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Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study (2025)
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Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study (2024)
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Identifying Vulnerabilities to NSAID Adverse Events in the U.S. Population: An Analysis of Preexisting Conditions and Sex (2024)
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Investigation of sex-based differences in the immunotoxicity of silver nanoparticles (2024)
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A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database (2023)
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Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study (2023)
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Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex (2023)
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Controlling for Confounding in Complex Survey Machine Learning Models to Assess Drug Safety and Risk (2023)
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Translational Research for Identifying Potential Early-stage Prostate Cancer Biomarkers (2022)
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Assessment of a Modified Sandwich Estimator for Generalized Estimating Equations with Application to Opioid Poisoning in MIMIC-IV ICU Patients (2021)
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Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data (2021)
Collaboration Network
Top Collaborators
Beverly Lyn‐Cook
United States Food and Drug Administration
5 shared publications
In database
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- Investigation of sex-based differences in the immunotoxicity of silver nanoparticles
- A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database
- Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex
- Identifying Vulnerabilities to NSAID Adverse Events in the U.S. Population: An Analysis of Preexisting Conditions and Sex
Dong Wang
National Center for Toxicological Research
4 shared publications
In database
- Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Identifying Vulnerabilities to NSAID Adverse Events in the U.S. Population: An Analysis of Preexisting Conditions and Sex
Jessica Reese
University of Oklahoma Health Sciences Center (US)
3 shared publications
- Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Weida Tong
United States Food and Drug Administration
3 shared publications
In database
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database
- Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study
Dong Wang
National Center for Toxicological Research
2 shared publications
In database
- Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data
- Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex
Zhiyuan Lu
National Center for Toxicological Research (US)
2 shared publications
- Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex
- Identifying Vulnerabilities to NSAID Adverse Events in the U.S. Population: An Analysis of Preexisting Conditions and Sex
Christine Merenda
United States Food and Drug Administration (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Richardae Araojo
United States Food and Drug Administration (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Christine Lee
Office of Minority Health and Health Equity (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Milena Lolic
Office of Minority Health and Health Equity (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Ying Zhang
University of Oklahoma Health Sciences Center (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Kimberly Malloy
University of Oklahoma Health Sciences Center (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Wen Zou
National Center for Toxicological Research (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Joshua Xu
United States Food and Drug Administration
2 shared publications
In database
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
Elisa Lee
University of Oklahoma Health Sciences Center (US)
2 shared publications
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
- Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study
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