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

Title:  The Impact of Food Insecurity on Health Status, Suicidal Ideation and Quality of Life Among Adults Living in Poverty: A Study in Urban Slums of Bangladesh   Abstract: Food insecurity is an ongoing public health issue in developing countries, including Bangladesh, exacerbated by the ongoing COVID-19 pandemic. It has considerable health impacts on the

An "ISRT Applied Statistics Seminar" on October 25 (Tuesday) at 2:00 PM (Venue: ISRT Seminar Room). Mrs. Tasnim Ara will talk on "Explaining geo-spatial variation in mobile phone ownership among rural women of Bangladesh: A multi-level and multidimensional approach". Mrs. Tasnim Ara is a lecturer at the Institute of Statistical Research and Training (ISRT), University of Dhaka.

Dr. Mohaimen Mansur will give a talk on "Foundational Learning Skills of Children in Bangladesh: What We Learned from MICS".  Dr. Mansur is an Associate Professor at the Institute of Statistical Research and Training (ISRT), University of Dhaka.

Title: Subgroup Analysis with Differential Treatment Effects and Biomarker Identification Abstract: In the process of drug development and regulatory decision making, it is important to characterize heterogeneity of subject response to treatment. The heterogenous effect is typically assessed based on variety of information on clinical, gene and protein expression markers, commonly known as biomarkers. Previous studies