This month's MHRI-GHUCCTS Monthly Statistical Seminar Series will be held Friday, April 19, 2024, from 12 PM - 1 PM. This series features Dr. Paul Kolm, Associate Director in the Center for Biostatistics, Informatics, & Data Science (CBIDS) at MedStar Health Research Institute.

The topic of this month's seminar will be on Bayesian Statistics. Up to this point, we have discussed statistical analyses from the classical or frequentist perspective. Classical statistics are based on the concept of a fixed population parameter (e.g., a mean) that is estimated by random sampling an infinite number of times. Bayesian statistics are based on the concept of a random population parameter that is initially estimated by assuming some distribution of the population statistic (prior) and then updating the estimate based on the current sample (posterior). We will look at examples and compare the two perspectives.