LOCATION:   319 Snedecor Hall
                                     
SPEAKER:Ozlem Ilk, Department of Statistics, Iowa State University

TITLE: Exploratory Multivariate Longitudinal Data Analysis

 

ABSTRACT:

The complex structure of longitudinal data with covariates requires new visual methods that enable interactive exploration. Here we catalog the general principles of exploratory data analysis for multivariate longitudinal data, and illustrate the use of the linked brushing approach for studying the mean structure over time. It is possible to reveal the unexpected, to explore the interaction between responses and covariates, to observe the individual variations, understand structure in multiple dimensions, and diagnose model fit by using these methods. The methods are illustrated on a real life dataset from the Iowa Youth and Families Project. COFFEE: 3:45 p.m., 104 Snedecor Hall