Rate My Professor Armando Teixeira-Pinto

Professor Teixeira-Pinto's research specializations encompass statistics, epidemiology, and public health, with a particular emphasis on developing multivariate statistical methods for analyzing multiple outcomes in observational studies, cohort analyses, and clinical trials. His work addresses key challenges in nephrology, chronic kidney disease, transplantation outcomes, sleep disturbances, physical activity, and glaucoma progression. He has authored numerous peer-reviewed publications in high-impact journals, accumulating over 9,400 citations. Notable publications include 'Two Novel Equations to Estimate Kidney Function in Persons Aged 70 and Older' (Annals of Internal Medicine, 2012), 'Prediction modeling—part 1: regression modeling' (Kidney International, 2020), 'Recommendations for Statistical Reporting in Cardiovascular Medicine' (Circulation, 2021), 'Vigorous intermittent lifestyle physical activity (VILPA) and mortality risk among US adults: a wearables-based national cohort study' (2026), 'BEAT-BK: An Adaptive, Randomized Controlled Trial to Treat Polyomavirus Infections (BKPyV) in Kidney and Kidney-pancreas Transplantation Recipients' (2026), and 'A systematic review of AI for predicting glaucoma progression: challenges and recommendations towards clinical implementation' (Nature Digital Medicine, 2026). His contributions extend to systematic reviews, meta-analyses, and protocol developments for trials like NAVKIDS2 and vascular access studies. Teixeira-Pinto teaches biostatistics courses, supervises postgraduate research, and participates in workshops on statistical methods for public health professionals.