AMERICAN ASSOCIATION OF SUICIDOLOGY
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AAS/Rocky Mountain MIRECC Research Methods Webinar Series

Accounting for Dropout in Longitudinal Studies
Thursday, September 22, 2:00pm EST

Free for AAS Members* | $35 for Non-Members
*Member discount will be applied when logged in to your account.

Click here to register

Description: Dropout is common in longitudinal studies and can depend on the unobserved outcomes, even after conditioning on observed data. When this is the case, dropout is considered missing not at random and nonignorable, requiring that the relationship be accounted for in the analyses. Frequently, the possibility of nonignorable dropout is disregarded and naïve methods that ignore the dropout mechanism are employed. This can lead to biased results and incorrect conclusions. Mixture models are a class of models that can be used to account for the relationship between a longitudinal outcome and dropout.  Join us to learn about two mixture model methods that can be implemented using standard statistical software, the Conditional Linear Model and the Natural Spline Varying-coefficient model.

Learning Objectives:
At the conclusion of this webinar, attendees will be able to:

  1. Explain effect of nonignorable dropout in longitudinal studies
  2. Determine whether a longitudinal study may warrant the use of the presented methods
  3. Describe the Conditional Linear Model
  4. Describe the Natural Spline Varying-coefficient mixture model

Continuing Education: 

Counselors

  • American Association of Suicidology has been approved by NBCC as an Approved Continuing Education Provider, ACEP No. 5607.  Programs that do not qualify for NBCC credit are clearly identified.  American Association is solely responsible for all aspects of the programs.

Psychologists

  • The American Association of Suicidology is approved by the American Psychological Association to sponsor continuing education for psychologists. AAS maintains responsibility for the program and its content.

Presenter Bio: Jeri Forster, PhD is the Director of the Data and Statistical Core (DASC) at the VISN 19 Rocky Mountain Mental Illness, Research, Education and Clinical Center (MIRECC). She is also an Assistant Professor in the Department of Physical Medicine and Rehabilitation at the University of Colorado, School of Medicine, Anschutz Medical Campus. Dr. Forster has been in collaboration with the Rocky Mountain MIRECC for over 9 years, serving as the DASC Director for the last 4 years.  The mission of the Rocky Mountain MIRECC is to study suicide with the goal of reducing suicidal ideation and behaviors in the Veteran population. Towards this end, the work of the Rocky Mountain MIRECC is focused on promising clinical interventions, as well as the cognitive and neurobiological underpinnings of suicidal thoughts and behaviors that may lead to innovative prevention strategies. While Dr. Forster is involved in numerous projects at the MIRECC related to suicidality, TBI and PTSD in Veterans, she also specializes in longitudinal data analysis, with an emphasis on methods to handle nonignorable dropout. 


Qualitative Methods for Suicide Research
October 20, 2:00pm EST
Presenter: Brooke Dorsey Holliman, PhD
Medical Anthropologist, Health Science Specialist
Rocky Mountain MIRECC
Denver VA Medical Center

More information and registration will be available soon.


Analytic Approaches for and Common Biases of Working with Rare Outcomes
November 17, 2:00pm EST
Presenter: Claire Hoffmire, PhD
Epidemiologist, Heath Science Specialist
Rocky Mountain MIRECC
Denver VA Medical Center 

More information and registration will be available soon.


Propensity Scores
December 15, 2:00pm EST
Presenter: Todd Wagner, PhD
VA Health Economics Resource Center
VA Center for Health Care Evaluation
VA Cooperative Studies Program Coordinating Center
Center for Innovation to Implementation (Ci2i)
Consulting Associate Professor of Medicine, Stanford University

More information and registration will be available soon.

   
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