APS
APS Virtual Poster Showcase · 2020
Multilevel Time Series Analysis
- Laura Lu
UGA - Zhiyong Zhang
University of Notre Dame
Abstract
This research introduced an innovative longitudinal modeling by combining time series and multilevel data structure. A multilevel time series modeling approach was first introduced, and then this model was applied to real data on emotional health that were collected from 153 participants and measured at 52 time points.
Statistics and Methodology