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Web-Based Lectures

Previously recorded webinars are available through the LearnSTAT OnDemand program.

Current Webinar Offerings:


July 16, 2015 Mixed Models for Longitudinal Categorical Outcomes




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Title: Mixed Models for Longitudinal Categorical Outcomes
Presenter: Donald Hedeker
Date and Time: Thursday, July 16, 2015, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Mental Health Statistics Section

Registration Deadline: Tuesday, July 14, at 12:00 p.m. Eastern time

Description:
This webinar will focus on analysis of longitudinal data using mixed models. Because dichotomous, ordinal and nominal outcomes are common in many areas of research, this webinar will mainly consider the mixed logistic regression model, and generalizations of it. Specifically, the following models will be described: mixed logistic regression for dichotomous outcomes, mixed logistic regression for nominal outcomes, and mixed proportional odds and non-proportional odds models for ordinal outcomes. The latter models are useful because the proportional odds assumption of equal covariate effects across the cumulative logits of the model is often unreasonable. Use of the program SuperMix for these models will be described and illustrated.

Registration Fees:
Member of the Mental Health Statistics Section: $75
ASA Member: $90
Nonmember: $105

Each registration is allowed one web connection and one audio connection. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).

Register



Access Information
Registered persons will be sent an email the afternoon of Tuesday, July 14, with the access information to join the webinar and the link to download and print a copy of the presentation slides.