Results for Analysis Data Model

Dr. Shults works to develop statistical methods for longitudinal data that include semi-parametric approaches to account for subject/cluster level associations and maximum likelihood-based approaches for simulation and analysis of discrete longitudinal outcomes that may have overdispersion.

Dr. Falk is a Clinical Geneticist who serves as executive director of the Mitochondrial Medicine Frontier Program. Her translational research lab investigates the causes and global metabolic consequences of mitochondrial disease, as well as targeted therapies, in C. elegans, zebrafish, mouse, and human tissue models of genetic-based respiratory chain dysfunction.

Dr. Zee's statistical methods research includes topics in survival analysis, measurement error, observational data methods, and machine learning. Her clinical research is focused on kidney disease, specifically in clinical and pathology markers of glomerular and chronic kidney disease progression.

Dr. Kadauke is the associate director of the Cell and Gene Therapy Laboratory at CHOP and the medical director of the Cell and Gene Therapy Informatics team. His research focuses on developing novel ways to manufacture cell therapies with the goal of accelerating and broadening patient access to these life-saving therapies.

Dr. Shu's research focuses on developing and applying suitable statistical methods for assessing comparative safety and effectiveness of medical products.

Dr. Forrest's research focuses on developing novel ways of conducting multi-center pediatric applied clinical research, child health services and outcomes research, pediatric person-reported outcome measure development and application, life course health science, learning health systems science, and policies and programs that promote the lifelong health of children. He has a particular interest in the concept and measurement of health.

Dr. Cardinale's research is focused on understanding the mechanisms of gene expression and gene regulation in autoimmune diseases, including inflammatory bowel disease, type 1 diabetes, and systemic sclerosis. He uses data from large-scale genomic studies to identify disease-causing genetic variants and functionally explore the target genes of those variants.

Dr. Tan studies transcriptional regulation during normal development and disease. This involves the interplay of multiple transcription and epigenetic factors in a 3D chromosomal environment. Using experimental genomics and computational modeling, Dr. Tan investigates transcriptional regulatory networks underlying embryonic hematopoiesis, T cell differentiation, and pediatric leukemia.