There is a statistics seminar at 2:00 pm on Sunday, 31 July at ISRT. ISRT alumni member, Kaviul Anam Khan will talk with the title “A Generalized Variable Importance Metric to Identify Important Predictors from Black Box Machine Learning Methods”.   Biodata of Kaviul Anam Khan is:   Mohammad Kaviul Anam Khan, PhD (c), Rafal Kustra, PhD Biostatistics Division

Title: Constrained inference in mixed models for clustered data Abstract: Mixed models are commonly used for analyzing clustered data, including longitudinal data and repeated measurements. Unrestricted full maximum likelihood (ML) methods have been extensively studied in the literature for analyzing generalized, linear, and mixed models. However, constraints or parameter orderings may occur in practice, and

Title: “Identification of delayed transfer of care (DTOC) patients at the time of admission and prediction of their length of stay in NHS hospitals” Summary: Delayed transfer of care (DTOC), also known as bed-blocking has been a persistent challenge for NHS hospitals. It occurs when a patient is clinically ready to be discharged, however, the