![Show Menu](styles/mobile-menu.png)
![Page Background](./../common/page-substrates/page0005.png)
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
alliedacademies.comYEARS
ANALYZING LONG-DURATION AND HIGH-FREQUENCY DATA USING THE TIME-
VARYING EFFECT MODEL
Haiyi Xie
Geisel School of Medicine, USA
W
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