Advancing biostatistical methods and training the next generation of experts
to improve rigor and reproducibility in imaging-based biomedical research.
Developing robust and generalizable statistical methods for the analysis of multimodal biomedical imaging data.
Integrating complex medical imaging data and other biomarkers to study health.
Building clinical tools for the assessment of disease diagnosis, progression, and prognosis through cross-sectional and longitudinal imaging studies.
Explore the latest research breakthroughs and publications from the PennSIVE research team.
Dr. Horwath is a recent graduate of Temple University with a PhD in Psychology. She completed her undergraduate degree in Psychology at Alfred University in December 2017. She will be […]
Russell “Taki” Shinohara, PhD was selected as the 2023 Mortimer Spiegelman Award recipient by the Applied Public Health Statistics Section of the American Public Health Association (APHA). Each year, the APHA […]
A key factor in designing randomized clinical trials is the sample size required to achieve a particular level of power to detect the benefit of a treatment. Sample size calculations […]
To acquire larger samples for answering complex questions in neuroscience, researchers have increasingly turned to multi-site neuroimaging studies. However, these studies are hindered by differences in images acquired across multiple […]