Physical Sciences and Mathematics Commons^™

Medical Outcomes, Quality Of Life, And Family Perceptions For Outpatient Vs Inpatient Neutropenia Management After Chemotherapy For Pediatric Acute Myeloid Leukemia, Kelly D Getz, Julia E Szymczak, Yimei Li, Rachel Madding, Yuan-Shung V Huang, Catherine Aftandilian, Staci D Arnold, Kira O Bona, Emi Caywood, Anderson B Collier, M Monica Gramatges, Meret Henry, Craig Lotterman, Kelly Maloney, Amir Mian, Rajen Mody, Elaine Morgan, Elizabeth A Raetz, Jeffrey Rubnitz, Anupam Verma, Naomi Winick, Jennifer J Wilkes, Jennifer C Yu, Brian T Fisher, Richard Aplenc

Department of Medicine Faculty Papers

Importance: Pediatric acute myeloid leukemia (AML) requires multiple courses of intensive chemotherapy that result in neutropenia, with significant risk for infectious complications. Supportive care guidelines recommend hospitalization until neutrophil recovery. However, there are little data to support inpatient over outpatient management.

Objective: To evaluate outpatient vs inpatient neutropenia management for pediatric AML.

Design, setting, and participants: This cohort study used qualitative and quantitative methods to compare medical outcomes, patient health-related quality of life (HRQOL), and patient and family perceptions between outpatient and inpatient neutropenia management. The study included patients from 17 US pediatric hospitals with frontline chemotherapy start dates ranging …

A Bayesian Hierarchical Mixture Model With Continuous-Time Markov Chains To Capture Bumblebee Foraging Behavior, Max Thrush Hukill

Honors Projects

The standard statistical methodology for analyzing complex case-control studies in ethology is often limited by approaches that force researchers to model distinct aspects of biological processes in a piecemeal, disjointed fashion. By developing a hierarchical Bayesian model, this work demonstrates that statistical inference in this context can be done using a single coherent framework. To do this, we construct a continuous-time Markov chain (CTMC) to model bumblebee foraging behavior. To connect the experimental design with the CTMC, we employ a mixture model controlled by a logistic regression on the two-factor design matrix. We then show how to infer these model …