Issue: November 2014
eNews from The Methodology Center

teens smoking

Previous literature has established that gang membership is associated with higher rates of drug use. In a forthcoming article in The Journal of Experimental Criminology, Methodology Center Investigator Donna Coffman and two other researchers examine whether anticipated guilt for substance use explains this association. The authors also expand the available set of methods for causal inference when assessing mediation in the presence of moderation and time-varying confounding.  

 

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Susan Murphy Our latest podcast features Methodology Center Principal Investigator Susan Murphy. She discusses the sequential, multiple assignment, randomized trial (SMART), which allows scientists to develop adaptive interventions. She also describes the just-in-time, adaptive intervention (JITAI), which uses real-time data to deliver interventions as needed via mobile devices. Susan's MacArthur Fellowship is also discussed; the podcast was recorded before she was named a member of the Institute of Medicine of the National Academies.

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MD2K logo Four Methodology Center affiliated scientists, Susan Murphy, Inbal Nahum-Shani, David Conroy, and Bonnie Spring, are part of a new research center, the MD2K Center of Excellence for Mobile Sensor Data-to-Knowledge. MD2K's mission is to develop tools and methods to gather and analyze data from mobile devices in order to facilitate the early detection and prevention of health problems. The new center is funded through the National Institutes of Health (NIH) Big Data to Knowledge initiative, which is also supporting Methodology Center Investigator Donna Coffman's career development award.

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nondescriptive graph of SAS output We 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 (e.g., ecological momentary assessments that are characterized by more frequent measurements than traditional panel data).
 
Traditional longitudinal 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 macros.

Congratulations to Methodology Center Investigator Donna Donna Coffman   Coffman, who received a K01 Career Develop-

ment Award from the National Institutes of Health Big Data to Knowledge initiative. Donna's work will focus on the analysis of big data to promote healthy behavior related to physical activity, diet, stress management, and substance use.  

 

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We are delighted to announce that Methodology Center Principal Investigator Susan Murphy has been named a member of the Institute of Medicine of the National Academies.

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generic flow chart SMART designs are being used to build adaptive interventions that address a broad array of health problems. We revamped and improved the web page that describes funded projects using SMART.
  
 



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