YSPH Biostatistics Seminar: “Empirical likelihood based inference for functional means with application to wearable device data”

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”

Abstract

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).