Applied Statistics and Data Science Seminar on August 7 on “Testing linearity in rapid microbiological method validation”

Title: Testing linearity in rapid microbiological method validation Abstract: Testing the linearity of a measurement system (MS) is required during its validation. Guidelines clearly discuss the appropriate design and analysis in testing the linearity of an MS when the data is Gaussian distributed but not for count data. This talk addresses how linearity is tested and

Applied Statistics and Data Science Seminar on Monday, August 21, 2023

Title: Hierarchical structural component models for pathway analysis of longitudinal categorical phenotypes Presenter:  Md. Kamruzzaman, PhD Associate Professor, Jagannath University, Email: kzaman1@isrt.ac.bd   Abstract: Several statistical methods for pathway analysis have been developed to test the association between pathways and phenotypes of interest. Since pathways are highly correlated, a hierarchical structural component models (HisCoM) was developed

Applied Statistics and Data Science Seminar on Monday, September 18, 2023

Title: The Generalized Variable Importance Metric: A model agnostic method to identify predictor outcome relationship Presenter:  Kaviul Anam khan PhD  in Biostatistics candidate at the Dalla Lana School of Public Health, University of Toronto Assistant Professor, Department of Statistical Sciences, University of Toronto   Abstract: The aim my research is to define importance of predictors