Colloquium

Colloquium


Ph.D. Defense/Colloquium
January 17 (Tue) 10 a.m.
Alavi Commons Room, 6625 Everett Tower

Subgroup Analysis and Growth Curve Models for Longitudinal Data

Nichole Andrews
Department of Statistics
Western Michigan University

Abstract: Previously, a growth curve model was proposed to investigate treatment effects over time for longitudinal data. This method was able to identify if treatments performed similarly. It could be found with this procedure that two or more treatments perform similarly and, therefore, one is not recommended over the other, however individuals can react to the same treatment very differently. A complete process is now proposed for longitudinal data that identifies subgroups of the population that would benefit from a specific treatment. A random effects linear model is used to evaluate individual treatment effects longitudinally where the random effects identify a positive or negative reaction to the treatment over time. With the individual treatment effects and characteristics of the patients, various classification algorithms are applied to build prediction models for subgrouping. While many subgrouping approaches have been developed recently, most of them do not check its validity. In this paper, a simple validation approach is proposed which not only determines if the subgroups used are appropriate and beneficial, but also compares methods to predict individual treatment effects. This entire procedure is readily implemented by existing packages in statistical software. The effectiveness of the proposed method is confirmed with simulation studies and analysis of data from the Women Entering Care study on depression.
---
All statistics graduate students are expected to attend.

.

Past colloquiums

 

Department of Statistics
3304 Everett Tower
Western Michigan University
Kalamazoo MI 49008-5152 USA
(269) 387-1420 | (269) 387-1419 Fax
stat-webmaster@wmich.edu