Announcement: Applied Longitudinal Data Analysis Workshop

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April 13, 2015, 00:00
to: April 17, 2015, 00:00
R060 - 771 McDermot Ave Winnipeg Manitoba
Team: Events, Training & News

CHIMb.ca
[img]

Announcement: Applied Longitudinal Data Analysis Workshop

Team: Events, Training & News

Location: R060 - 771 McDermot Ave Winnipeg Manitoba

April 13, 2015, 00:00
to: April 17, 2015, 00:00

Description


To register for this event, please click here.

Longitudinal research plays a critical and unique role in health, social and behavioral sciences. There are four core questions that characterize most longitudinal investigations:

  1. What is the shape of intra-individual change over time (i.e., linear, nonlinear)?
  2. Are there inter-individual differences in change over time?
  3. What predicts inter-individual differences in change over time?
  4. How do inter-individual differences in change over time relate to other outcomes?

There are a variety of approaches to answer these questions, but this workshop will focus on the multilevel model (mixed models) for change. By building on your familiarity with standard regression models, this workshop will examine the theory of mixed models in longitudinal studies, including a hands-on opportunity to use real data to build and interpret a multilevel model using SAS in a computer lab.

Session 1
Fundamental concepts of longitudinal data analysis and multilevel model for change will be presented, accompanied by analysis examples of longitudinal analyses from a mental health intervention study. The multilevel model with time-invariant and time-varying predictors, goodness of fit and model comparisons will be discussed.

Session 2
Other advanced topics in longitudinal data analysis will be discussed including discontinuous and nonlinear change, generalized linear mixed models and multivariate longitudinal analysis. Latent growth curve approach, developmental trajectory analysis and growth mixture model will also be discussed.

Session 3
Guided by the instructor, participants will work together with real data to build and interpret a multilevel model in a computer lab.

Requirements:
Workshop participants should have working knowledge of multiple regression and analysis of variance (ANOVA) modeling, including experience using SAS software to apply these models. No experience in multilevel modeling or structural equation modeling is required.

About the Instructor:
Dr. Depeng Jiang is an Assistant Professor in Biostatistics in the Department of Community Health Sciences at the University of
Manitoba and leads the Biostatistics Group in the Data Science Platform of the George and Fay Yee Center of Healthcare Innovation (CHI). Dr. Jiang’s program of research focuses on person-oriented statistical methods. His main research interests include longitudinal analysis and multilevel models, person-oriented statistical approaches (latent class analysis and growth mixture models), structural equation models, clinical trial design and impact evaluation.

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Location: 771 McDermot Ave, Winnipeg, Manitoba, Canada