Paul B. 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)
Formerly Arkansas Affiliated with NCTR through 2021; recent publications list University of Bradford.
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Paul B. Rogers is a biostatistician whose research has focused on statistical analysis and modeling in various medical contexts. His work includes contributions to understanding the safety profile of therapies for inflammatory bowel disease and evaluating the effectiveness of different treatment regimens for prostate cancer. Rogers has also investigated radiation sensitivity in patients and explored methodologies for analyzing health data, such as using AI-powered topic modeling for opioid-related cardiovascular risks. His publications span a range of medical areas, including oncology, neurology, and healthcare management. Rogers has a publication record of 90 items with an h-index of 10 and 375 citations. He has collaborated extensively with researchers at the National Center for Toxicological Research, including Dong Wang and Beverly Lyn-Cook, with whom he shares multiple publications.
Metrics
- h-index: 10
- Publications: 90
- Citations: 375
Positions
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Biostatistician publications 2021–2026National Center for Toxicological Research Division of Bioinformatics and Biostatistics ORCID
Selected Publications
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Two decades of prescription opioid-related cardiovascular safety signals: a FAERS-based pharmacovigilance study using machine learning (2026)
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Exploring Sex Differences in Cardiac ICU Admission and Length of Stay Using Multiple Correspondence Analysis (2026)
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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)
Collaboration Network
Top Collaborators
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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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