NIH Program Announcement Calls for Sequential, Multiple Assignment, Randomized Trials (SMARTs)
A new announcement from NIH seeks proposals that improve behavioral treatments for drug abuse, HIV, chronic pain, or related behaviors. PA-13-077 is sponsored by the National Institute on Drug Abuse (NIDA), the National Institute on Alcohol Abuse and Alcoholism (NIAAA), and the Office of Behavioral and Social Sciences Research (OBSSR). This program announcement specifically solicits proposals featuring sequential, multiple assignment, randomized trial (SMART) designs because of their applicability to efficacy studies and to translating interventions into real world settings.
View the program announcement.
Podcast: Latent Class Analysis (LCA) Part 2: Extensions of LCA
In our latest podcast, Center researchers Stephanie Lanza and Bethany Bray discuss extensions of LCA with host Aaron Wagner. Topics include LCA with grouping variables and covariates, latent transition analysis, causal inference in LCA, and LCA with a distal outcome. This is the second part of a two-part podcast; Part 1 provides an introduction to LCA.
Download the podcast.
Featured Article: Understanding Childhood Health Disparities with LCA
By understanding disparities in early childhood health among different segments of the U.S. population, researchers can address the greatest needs in our society. In the article “Measuring Early Childhood Health and Health Disparities: A New Approach,” appearing in the Maternal and Child Health Journal, Penn State researchers Marianne Hillemeier, Stephanie Lanza, Nancy Landale, and Sal Oropesa provide one of the most comprehensive examinations to date of child health and health disparities in the United States. Traditionally, disparities have been examined in terms of a specific health problem (e.g., asthma or obesity). By applying latent class analysis (LCA) to a national sample of four-year-old children, the authors simultaneously examined health conditions (e.g., obesity, asthma), functioning (e.g., vision, hearing, overall activity level), fine motor skills, emotional wellness (e.g., empathy, externalizing behavior), social skills, and cognitive achievement across ethnicities and socio-economic groups.
Runze Li Named Distinguished Professor
Congratulations to Runze Li who was recently named 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 (TVEMs) helps 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.
Now Accepting Applications: Postdoc in Prevention and Methodology
The Prevention and Methodology Training (PAMT) program will have an opening for a postdoctoral fellow starting this summer or fall. PAMT, a joint effort between The Prevention Research Center and The Methodology Center, cross-trains graduate and postdoctoral researchers as prevention scientists and methodologists.
Through this National Institute on Drug Abuse (NIDA)-funded program, prevention researchers are trained in the latest and most innovative research methods, and methodologists gain an understanding of the realities and challenges facing prevention efforts in real-world settings. If you have strong methodological skills and a passion for prevention science, please apply by March 15.