Roles
Research Professor
Research Professor, Biostatistics and Bioinformatics Core Shared Resource, Sylvester Comprehensive Cancer Center
-
Biography
Isildinha Reis, DrPH, is a research professor in the Department of Public Health Sciences at the University of Miami and a member of the Sylvester Comprehensive Cancer Center Biostatistics and Bioinformatics Shared Resource. She joined the University of Miami and Sylvester Biostatistics in 1999.
From 2012 to 2015, Dr. Reis served as director of the Biostatistics Division of the Sylvester Biostatistics and Bioinformatics Shared Resource. She earned a master’s degree in statistics in 1989 and a master’s degree in public health in 1991 from the University of São Paulo in São Paulo, Brazil. She received her Doctor of Public Health (DrPH) in biostatistics in 1996 from the University of California, Los Angeles, School of Public Health.
Dr. Reis has more than 20 years of experience in applied statistics and statistical methodology. At Sylvester, she has served on multidisciplinary research teams evaluating novel cancer treatments, biomarkers, and treatment-related outcomes, including short- and long-term side effects, risk of recurrence and metastasis, and mortality. She has played a key role as a co-investigator on numerous grant applications submitted by Sylvester investigators to the National Institutes of Health, the Bankhead-Coley Cancer Research Program, the Department of Defense, and other funding agencies. -
Education & Training
Education
-
Research Interests
Survival analysis.
Repeated measures analysis.
Statistical methods applied to epidemiologic studies.
Statistical methods applied to clinical trials and cancer research.
Statistical design and analysis of phase I and phase II oncology clinical trials. -
Publications
Disclaimer: The information presented in this section has been consolidated using AI and machine learning technologies. While every effort has been made to ensure accuracy, errors may occur. If you identify any inaccuracies, please use this link to inform our data team. Your feedback is greatly appreciated and helps us improve the quality of our content.