Tech Talk: Principal Component Analytics for Investigators

In this talk, we will delve into the fundamentals of PCA, a powerful statistical technique for dimensionality reduction and data visualization. Discover how PCA can aid in extracting meaningful patterns from complex medical datasets, facilitating insights into patient diagnostics, treatment responses, and disease progression. We’ll explore real-world applications of PCA in medical research, showcasing its ability to uncover latent relationships among variables, identify key biomarkers, and enhance predictive modeling accuracy. Whether you’re a seasoned researcher or a novice in data analysis, this talk will provide valuable insights into harnessing the potential of PCA to advance medical investigations and improve healthcare outcomes.

Meet the Speaker

Keshab Subedi, Biostatistician, ChristianaCare

Keshab Subedi works as a Biostatistician in the Institute for Research on Equity and Community Health (iREACH) at ChristianaCare. He has collaborated as biostatistician with physicians and researchers from ChristianaCare and other ACCEL institutions. His collaborative work has been published in several medical journals including JAMA, JAMA Pediatrics, American Journal of Preventive Medicine, and Journal of Clinical and Translational Science.  He holds a Master of Science degree in Biostatistics from Drexel University.

 

 

Please RSVP to Debra.Reese@ChristianaCare.org Include your name, email address, and institution/organization.  We will provide instructions on obtaining CME credit for attendance.

Work supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.