BIS 526 students are required to attend in person. Others are allowed to attend in person, but may also attend via zoom.
Speaker- Ian Mc Keague, Ph.D.
Title- “Empirical likelihood based inference for functional means with application to wearable device data”
This talk discusses a nonparametric inference framework for occupation time curves derived from wearable device data. Such curves provide the total time a subject maintains activity above a given level as a function of that level. Taking advantage of the monotonicity and smoothness properties of these curves, we develop a likelihood ratio approach to construct confidence bands and functional-ANOVA type tests to compare mean occupation time curves between groups of subjects. A simulation study shows that the proposed procedures outperform competing functional data approaches. Applications to wearable device data from an NHANES study and an ongoing phase 3 trial of an experimental drug for a mitochondrial DNA depletion syndrome will be discussed. Based on joint work with Hsin-Wen Chang (Academia Sinica).
Columbia UniversityIan McKeagueProfessor