mental-health-2019-accepted-abstracts

Note:

June 24-25, 2019 | Philadelphia, USA

Mental Health 2019

Journal of Mental Health and Aging | Volume 3

Page 31

PSYCHIATRY DISORDERS, MENTAL

HEALTH ANDWELLNESS

World Summit on

OF EXCELLENCE

IN INTERNATIONAL

MEETINGS

YEARS

ANALYZING LONG-DURATION AND HIGH-FREQUENCY DATA USING THE TIME-

VARYING EFFECT MODEL

Haiyi Xie

Geisel School of Medicine, USA

ith the rapid development of methods for electronic data capture, longitudinal data sets with many as-

sessment points have become common in mental health services and addiction research. These data

typically exhibit complex and irregular patterns of change and the relationship between variables may also

change over time. Existing statistical methods are not flexible enough to capture this complexity, but a new

method, the time-varying effect model (TVEM), permits modeling nearly any shape of change and allows the

effect of an independent variable on outcome to change over time. This paper introduces TVEM and illustrates

its application using data from a 16 year study of 223 participants with serious mental illness and substance

abuse.

J Ment Health Aging 2019, Volume 3