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ILD News

December 3, 2014

Rebecca Evans-PolceIn the United States, rates of substance use peak during adolescence and young adulthood. Previous literature has demonstrated that rates differ by race, ethnicity, and gender. Despite knowledge of these disparities, until now researchers have been unable to understand the extent to which these disparities change across adolescence and young adulthood. In the forthcoming article, “Changes in gender and racial/ethnic disparities in rates of cigarette use, regular heavy episodic drinking, and marijuana use: Ages 14 to 32,” to appear in Addictive Behaviors, Methodology Center researchers Rebecca Evans-Polce, Sara Vasilenko, and Stephanie Lanza use the time-varying effect model (TVEM) to examine the dynamic nature of substance use rates among different groups of adolescents and young adults.

 

December 1, 2014

Runze LiCongratulations to Runze Li for being named a Highly Cited Researcher by Thomson Reuters. This means that Runze is in the top one percent of most cited researchers in his field. Runze’s research focuses on the analysis of intensive longitudinal data (ILD) and high-dimensional data. During his 12 years as an investigator at The Methodology Center, Runze has been a pioneer not only in developing statistical methods but also in disseminating those methods to behavioral researchers. He led the development of the TVEM macro suite and the FHLM-LLR macro for analyzing ILD and PROC SCADLS & PROC SCADGLIM for selecting variables in high-dimensional data. Runze’s work is becoming even more relevant with the increasing availability of high-dimensional data, such as genetic data and ILD, such as data from smartphone studies. We look forward to many more years of collaborating with Runze.

 

Read about Runze’s research on analyzing ILD

November 3, 2014

output graphWe are pleased to release the latest version of the TVEM (time-varying effect model) SAS macro suite (v. 2.1.1). The macros in this suite estimate the coefficient functions in TVEMs for intensive longitudinal data (longitudinal data such as ecological momentary assessments, EMA, that are characterized by more frequent measurements than traditional panel data). 
 
Traditional analytic methods assume that covariates have constant effects on a time-varying outcome. The TVEM SAS macros allow the effects of covariates to vary with time. These macros enable researchers to answer new research questions about how relationships change over time. The newest version of the software includes some minor usability improvements.

 

Download the macro suite.
 

Not familiar with SAS macros? View our 4-minute video on how to run a macro.

August 27, 2014

researchers Kari and AngieEach year, we hold regular meetings of special interest groups open to all researchers and graduate students working with and developing cutting edge research methods. The groups provide a forum for individuals to discuss their own research and to learn from others. Topics include analyzing complex data, mixture modeling, optimizing behavioral interventions, and causal analysis. 

 

The schedule for this fall and contact information is now available. For specific dates, please see The Methodology Center’s calendar.

   

May 22, 2014

Stephanie LanzaMegan PiperSaul ShiffmanA recently published special issue of Nicotine and Tobacco Research explores the use of ecological momentary assessments (EMA) in smoking research. The issue, “New Methods for Advancing Research on Tobacco Dependence Using Ecological Momentary Assessments,” was edited by Stephanie Lanza, scientific director of The Methodology Center, Megan Piper, assistant professor in the University of Wisconsin department of  medicine and lead researcher at the Center for Tobacco Research and Intervention, and Saul Shiffman, professor of psychology at the University of Pittsburgh.

 

In their editorial, Elizabeth Ginexi, William Riley, Audie Atienza, and Patricia L. Mabry of the National Institutes of Health discuss the promise that these methods hold for behavioral health research outside of smoking research. The specific methods featured in the issue include time-varying effect models (TVEMs), multilevel models and their extension to predict intra-individual variability, and dynamical systems models. The special issue also includes studies that rely on data integration, specifically to integrate functional magnetic-resonance imaging (fMRI) data and global positioning system (GPS) data with EMA. If you work with or want to learn more about EMA data, this issue has something to offer.

 

The issue was funded by the National Cancer Institute and the Office of Behavioral and Social Sciences Research. The article was generated due to the strong response to a preconference workshop at the 2012 Society for Research on Nicotine and Tobacco Annual Meeting. Presentations from the workshop can be found on The Methodology Center website.  A link to the table of contents of the special issue can be found below. 

 

Open the special issue.

Stephanie LanzaFebruary 26, 2014

We are pleased to announce this spring’s Taste of Methodology workshop: The time-varying effect model (TVEM) for analyzing intensive longitudinal data. Taste of Methodology is a series of brief workshops for Penn State faculty that offers an overview of innovative methods along with lunch. This semester’s workshop will present the concepts and applications of TVEM in order to give faculty an efficient way to assess TVEM’s potential for their research. 

 

 

A Taste of Methodology: The time-varying effect model (TVEM) for analyzing intensive longitudinal data

PRESENTER: Stephanie Lanza, Scientific Director of The Methodology Center

WHEN: Wednesday, May 7, 2014, 10:30 am - 1:30 pm

WHERE: Bennett Pierce Living Center, 110 Henderson Building

  

A Taste of Methodology is co-sponsored by the Social Science Research Institute and the Methodology Center, and is part of SSRI's Innovative Methods Initiative. The workshop is FREE and open to all Ph.D.-level scientists at Penn State. Registration is required and places are limited. To register, email Tammy Knepp (TLKnepp@psu.edu).

New Grant Uses TVEM to Understand Opioid WithdrawalOctober 1, 2013

Part of the danger of opioids like oxycodone, morphine, and heroin stems from their highly addictive nature. In a new project funded by the National Institute on Drug Abuse, Methodology Center Investigator Stephanie Lanza will collaborate with colleague Hobart Cleveland and Principal Investigators Roger Meyer and Scott Bunce’s team from Penn State’s Milton S. Hershey Medical Center to improve treatment outcomes for patients recovering from opioid dependence. By following patients for seven months, researchers will track changes in the patients’ brain reward systems from initial detoxification through residential care and a follow-up period. The researchers will use time-varying effect models to better understand changes in mood, stress level, craving, and sleep. By studying these processes through initial recovery from dependence, researchers will learn how chemical balances in the brain return to levels typically found in people who are not dependent on opioids.

Open the NIH Reporter page for this project

Linda Collins, Stephanie Lanza, Donna Coffman, Bethany Bray, Kari Kugler, and Anne Fairlie

Society for Prevention Research (SPR) Annual Meeting

San Francisco, CA, May 28-31, 2013

 

The Methodology Center will be active at the upcoming annual meeting of the Society for Prevention Research (SPR).  At this year's conference, The Science of Prevention: Building a Comprehensive National Strategy for Well-Being, we will be presenting symposiums, a special interest group, paper talks, and multiple posters. Also look for us at the ECPN symposiums. We hope to see you there!

David ConroyFebruary 22, 2013

Methodology Center Collaborative Research Funding has been awarded to David Conroy, Professor of Kinesiology and Human Development & Family Studies at Penn State. He will work with Nilam Ram and Methodology Center Investigators Runze Li, Stephanie Lanza, and Linda Collins to design an intervention that encourages physical activity among heavy drinkers in order to reduce alcohol consumption.  Researchers believe that some forms of physical activity can reduce alcohol intake by enhancing enjoyment, improving mood, occupying time, and reducing reactions to stress. This project will address several unanswered questions about the relationship between physical activity and alcohol consumption and will use cutting-edge intervention-design methods to build an effective and efficient intervention.

Runze LiJanuary 3, 2013

Congratulations to Runze Li who was recently named a distinguished professor of statistics at Penn State! The University is recognizing Runze for his research leadership and for "raising the standards of the University with respect to teaching, research, and service." His work on time-varying effect models (TVEM) is helping smoking researchers (and other researchers who collect data using cell phones or the Internet) to answer new questions. The Center offers a free SAS macro to enable applied researchers to use TVEMs. 
Read more about TVEM

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