Addiction and Innovative Methods Lab
Addiction and Innovative Methods Lab
STUDIES IN THE FIELD
Our team’s current research projects examining substance use and other health behaviors using innovative methods and advanced technology.
Read more HERE.
TVEM
Learning and teaching resources on Time Varying-Effect Modeling, a method for examining dynamic associations across time.
Read more HERE.
Our Team
The Addiction and Innovative Methods (AIM) Lab is Co-Directed by Dr. Stephanie Lanza (Professor of Biobehavioral Health) and Dr. Ashley Linden-Carmichael (Associate Research Professor of Health and Human Development).
Our lab focuses on high-risk substance use across the lifespan with particular emphasis on adolescent and young adult substance use and combined use of multiple substances. Much of our work uses advanced statistical analysis to model the heterogeneity of substance use at the person- and day-level (latent class analysis), and changes in associations across time or age (time-varying effect modeling). Our team includes highly skilled and motivated post-doctoral and pre-doctoral fellows through the Prevention and Methodology Training (PAMT) program interested in studying patterns, predictors, and consequences of substance use throughout the lifespan.
Meet our team members HERE.
News Reel / Latest Articles
Best Poster Award
To view the poster Click Here ____________________ Miglena Ivanova, a third-year doctoral student in developmental psychology and a Prevention and Methodology Training (PAMT) predoctoral fellow, won the Best Poster Award for her work "Profiles of Co-occurring Internalizing and Externalizing Problems and Adolescent Substance Use" which she presented at [...]
Award Recipients
Congratulations to current lab members Danny Wang who was accepted as a Pre-Doctoral Fellow for the NIDA T32 Prevention and Methodology program and Sam Stull who received a NIDA F31 National Research Service Award for "The Role of Nondrug Reward in Recovery from Opioid Use Disorder: Intrapersonal and Socio-spatial [...]
Congratulations!
Congratulations to Danny Rahal (will be Assistant Professor at UC Santa Cruz Fall 2023) and Natalia Van Doren (will be post-doctoral scholar at a NIDA-funded T32 at UC San Francisco in Fall 2023).
How husbands perceive their wives’ weight may affect later marriage satisfaction
AIM Lab trainee, Anna Hochgraf's research was recently featured in Penn State News.