The Methodology Center | Advancing methods, improving health

Susan Murphy, 2013 MacArthur Fellow

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Aaron Wagner and Sara Vasilenko recording podcastFebruary 26, 2015

In this podcast, we discuss the Prevention and Methodology Training (PAMT) program, which is a collaboration between The Methodology Center and The Bennett Pierce Prevention Research Center. Host Aaron Wagner talks with Melissa Boone, Michael Russell, and Sara Vasilenko, all current or former PAMT postdoctoral fellows. The opportunities and unique features of the program are discussed in under 20 minutes. PAMT also trains Penn State graduate students as predoctoral fellows, but that aspect of the program is not discussed in the podcast. For more information about PAMT predoctoral and postdoctoral fellowships, contact Bethany Bray.

February 3, 2015

Stephanie Lanza and Sara VasilenkoWe are pleased to announce that Stephanie Lanza and Sara Vasilenko will present this year’s Summer Institute on Innovative Methods, “An Introduction to Time-Varying Effect Modeling.” Sponsored by The Pennsylvania State University’s Methodology Center and the National Institute on Drug Abuse, the 20th Summer Institute will provide the theoretical background and applied skills necessary to identify and address interesting, new research questions using time-varying effect modeling (TVEM). Stephanie and Sara will introduce applications 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. 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.

 

The Summer Institute will be held on June 11 – 12, 2015 at the Bethesda North Marriott Hotel & Conference Center in Bethesda, Maryland.

 

Read more and register 

January 30, 2015

distal outcomes example diagramWe are pleased to announce the release of the latest version of the %LCA_Distal SAS macro. Latent class analysis allows researchers to divide subjects into underlying subgroups that cannot be directly observed. The %LCA_Distal SAS macro was created to allow researchers to estimate the impact of membership in a latent class on an outcome at a later time. The newly released version 3.0 of the macro allows users to generate standard errors for the binary case and provides more information in the onscreen results for all cases. PROC LCA version 1.3.2 or higher must be used in order to generate standard errors.  

 

Read more or download the macro

January 27, 2015

child using a tablet

Adaptive interventions help guide clinicians in their decisions concerning when and how treatments should be altered, but developing empirically based adaptations requires gathering the right kind of data. The sequential, multiple assignment, randomized trial is a recent innovation that can provide high-quality, experimental data for developing adaptive interventions. Recently, a group of autism researchers published the results of their SMART study in the article “Communication interventions for minimally verbal children with autism: A sequential, multiple assignment, randomized trial,” which appears in the Journal of the American Academy of Child and Adolescent Psychiatry, a top journal in child and adolescent mental health. The authors, led by Connie Kasari of UCLA, designed a project to improve spoken communication for children with autism who are minimally verbal. The study’s results show the benefit of integrating speech-generating devices (SGD) as a part of language development interventions and the potential of SMART designs for developing adaptive interventions.

 


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