Summer Institute | The Methodology Center

2015 Summer Institute

 

Stephanie Lanza and Sara VasilenkoTopic: An Introduction to Time-Varying Effect Modeling

 

Presenters: Stephanie T. Lanza, Ph.D. and Sara A. Vasilenko, Ph.D.

 

Date: June 11-12, 2015

 

Venue: Bethesda North Marriott Hotel & Conference Center, North Bethesda, MD 

 

 

Workshop Information

Workshop objective

The goal of this two-day workshop is to help you gain the theoretical background and applied skills to be able to identify and address interesting, new research questions using time-varying effect modeling (TVEM). Application of these models to examine time-varying effects using intensive longitudinal data such as ecological momentary assessments, as well as age-varying effects using cross-sectional and panel data, will be introduced. By the end of the workshop, participants will have fit several time-varying effect models in SAS and will have had the opportunity to fit preliminary models to their own data.

 

General description

Workshop time will be spent in lecture, software demonstrations, computer exercises, and discussion. At the workshop, participants will be provided with a hard copy of all lecture notes, select computer exercises and output, and suggested reading lists for future reference. The software used in this course is a suite of SAS macros, downloadable software that is developed at the Penn State Methodology Center. Part of the second afternoon will be reserved for participants to apply the concepts learned in class to their own data, and the presenters will be available for consultation during that period.

 

Prerequisites

The prerequisite for this workshop is graduate-level statistics training for the behavioral or health sciences up through linear regression (usually two semesters of course work). Basic familiarity with SAS and logistic regression is helpful, but not a prerequisite.

 

Computer requirements

Participants are strongly encouraged to bring a laptop so that they can conduct the computer exercises and analyze their own data. To conduct analyses at the workshop, SAS Version 9 for Windows must be installed on the laptop prior to arrival. In addition, approximately one week prior to the workshop participants will be sent an email requesting that they download the TVEM SAS macro suite. Participants must verify that data use agreements permit them to bring their own data to the workshop. Simulated data will be made available to those who do not bring their own data.

 

Topics to be covered:  

  • Conceptual introduction to time-varying effect modeling (TVEM)
  • Regression, logistic regression, and multilevel modeling – a review
  • Multilevel modeling versus TVEM
  • TVEM for modeling time-varying effects in intensive longitudinal data
  • Model interpretation, model selection
  • TVEM for modeling age-varying effects in cross-sectional and panel data
     


 In addition to the above topics, there will be several hands-on computer exercises, open discussion times, and question/answer periods.

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How to attend

Enrollment is limited to 40 participants to maintain an informal atmosphere and to encourage interaction between the presenters and participants, as well as among participants. We give priority to individuals who are involved in drug abuse prevention and treatment research or HIV research, who have appropriate statistical background to get the most out of the Institute, and for whom the topic will have a direct and immediate relevance to their current work. We also aim to maximize geographic and minority representation.

 

To attend the 2015 Summer Institute, an application was required by Friday, March 6, 2015 at 5 p.m. EST. The deadline has now passed. Applicants will be notified about decisions by Tuesday, March 31, 2015.

 

Once accepted, participants will be emailed instructions about how to register. The registration fee of $395 for the two-day Institute covers all instruction, program materials, refreshment breaks, and lunch each day. Participants are encouraged to bring their own laptop computers for conducting exercises.

 

Review our refund, access and cancellation policies.

 

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Who are the presenters?

Stephanie Lanza, Ph.D.

Stephanie Lanza, Ph.D.

Scientific Director and Senior Research Associate, The Methodology Center

Research Associate Professor, College of Health and Human Development

 

I work primarily in two methodological areas. Much of my work seeks to advance finite mixture models, particularly latent class analysis. My primary collaborators on this project include Bethany BrayBrittany Rhoades Cooper, and John Dziak. I also work to advance and apply new statistical models in order to reveal dynamic processes. Much of this work, done in collaboration with Runze LiSara Vasilenko, and Megan Piper, addresses new research questions using intensive longitudinal data related to drug abuse.

  

Sara Vasilenko, Ph.D.

Sara Vasilenko, Ph.D.Research Associate, The Methodology Center

 

My primary interest is applying innovative methods to study adolescent and young adult development, health, and well-being, with a focus on the development of sexual behavior. I am collaborating with Stephanie Lanza and Runze Li on applications of TVEM to research on sexual behavior and substance use. I am also using LCA to examine multidimensional patterns of sexual and romantic behaviors with Stephanie Lanza and Kari Kugler.

 

 

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Where is it being held?

Bethesda North Marriott Hotel & Conference Center

5701 Marinelli Road

North Bethesda, MD 20852

301-822-9200

 

A block of rooms will be available at the hotel. Reservations must be received on or before Wednesday, May 20, 2015 (the "cut-off date"). To make reservations under the Summer Institute contract, please call 1-800-228-9290 or 1-301-822-9200. 

 

 

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Funding

Funding for this conference was made possible by R13DA020334 from NIDA. The views expressed in written conference materials or publications and by speakers and moderators do not necessarily reflect the official policies of the Department of Health and Human Services; nor does mention of trade names, commercial practices, or organizations imply endorsement by the U.S. Government.

 

 

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