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Douglas Landsittel, PhD
- Professor and Chair of Biostatistics, School of Public Health and Health Professions, University at Buffalo (SUNY)
- Professor of Biomedical Informatics (2017–2021), University of Pittsburgh School of Medicine
Department of Biomedical Informatics (DBMI) | University of Pittsburgh School of Medicine
Biography
Dr. Douglas Landsittel is a Professor and Chair of Biostatistics at the University at Buffalo (SUNY) and former Professor of Biomedical Informatics at the University of Pittsburgh. He holds a PhD in Biostatistics from the University of Pittsburgh and a record spanning over 170 peer-reviewed publications with more than 9,400 citations (h-index=54). His career has spanned occupational epidemiology at CDC/NIOSH, clinical biostatistics at Pitt, and academic leadership at Indiana University-Bloomington and UB. He was appointed the James A. Caplin Chair in Evidence-Based Public Health (2021–2024), is a Fellow of the American Statistical Association (2022), and has received multiple national awards for his publications and study section leadership.
Research Interests
Dr. Landsittel’s research focuses on statistical methods for intervention studies, causal inference, and prognostic modeling across occupational and clinical research. Key methodological areas include comparative effectiveness research with observational data, neural networks for clinical prediction, biomarker panel development, and propensity score methods. Application areas span transplant medicine, polycystic kidney disease, cancer epidemiology, occupational injury prevention, and, more recently, COVID-19 outcomes and health disparities. He led the PCORI-funded ENACT network for building causal inference capacity at minority-serving institutions and has chaired multiple NIH and CDC study sections.
Specialties
- Biostatistics and Statistical Methods for Clinical Research
- Causal Inference and Comparative Effectiveness Research
- Biomarker Studies and Prognostic Modeling
- Patient-Centered Outcomes Research (PCOR)
- Occupational Epidemiology and Safety Research
Education & Training
- B.S., Applied MathematicsUniversity of Pittsburgh, Pittsburgh, PA1988–1992
- Ph.D., BiostatisticsUniversity of Pittsburgh Graduate School of Public Health, Pittsburgh, PA1992–1997
Awards & Distinctions
- Fellow, American Statistical AssociationAmerican Statistical Association2022
- James A. Caplin Chair in Evidence-Based Public HealthIndiana University-Bloomington2021–2024
- Hattie Becich Award for Best Teacher, Biomedical InformaticsUniversity of Pittsburgh2019
- First Place, Kenneth R. Gottesfeld AwardJournal of Diagnostic Medical Sonography2020
- Distinguished Clinical Study CertificateJournal of Vascular and Interventional Radiology2021
- Alice Hamilton Award for Best NIOSH Publication — Human StudiesNIOSH2001
- Alice Hamilton Award for Best NIOSH Publication — Biological SciencesNIOSH2002
- Best Dissertation of the Year in BiostatisticsDelta Omega Society, University of Pittsburgh1997
Representative Publications
Landsittel D, Srivastava A, Kropf K. Methods for Causal Inference and Associated Educational Resources. Qual Manag Health Care. 2020;29(4):260–269.
Landsittel D, Chang C-CH, Morton SC. Guidance for Researchers on Optimal Methods for Conducting Comparative Effectiveness Research With Observational Data. PCORI. 2019.
Cherukuri A, Salama AD, Mehta R, et al. (including Landsittel D). Transitional B cell cytokines predict renal allograft outcomes. Sci Transl Med. 2021;13(582):eabe4929.
Molinari L, Del Rio-Pertuz G, Smith A, Landsittel DP, et al. Utility of Biomarkers for Sepsis-Associated Acute Kidney Injury Staging. JAMA Netw Open. 2022;5(5).
Bae KT, Tao C, Feldman R, et al. (including Landsittel DP). Volume Progression and Imaging Classification in Autosomal Dominant Polycystic Kidney Disease. JASN. 2022.
Research Grants
| Grant / Funding Agency | Role | Grant Number | Years |
|---|---|---|---|
| Modeling Strategies for Observational CER — What Works Best When? PCORI | PI | ME-1306-03827 | 2014–2018 |
| Expanding National Capacity in PCOR through Training (ENACT) AHRQ | PI | R25HS023185 | 2014–2020 |
| Regulatory Dendritic Cell Therapy in Live Donor Renal Transplant Recipients NIH/NIAID | Statistician | U01 AI136779 | 05/2018–04/2025 |
| FIRST Coordination and Evaluation Center to Promote Inclusive Excellence NIH/Common Fund | Co-I | U24 | 09/2021–06/2030 |