APS

APS Virtual Poster Showcase · 2020

Multilevel Time Series Analysis

Virtual · June 2020

Poster Sessions · Methodology

  • 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