Research Areas

We conduct methodological research focusing on experimental design and data analysis for the prevention and treatment of problem behaviors, particularly drug abuse and HIV. We apply the new methods we develop in empirical research and disseminate new methods to prevention and treatment scientists.

Uncover Population Profiles

Latent class analysis (LCA) and latent transition analysis (LTA) allow researchers to detect subgroups within a population.

Read more about LCA


Understand Intensive Longitudinal Data

Our intensive longitudinal data (ILD) project provides tools like the time-varying effect model (TVEM) for analyzing complex data, like smartphone data.

Read more about ILD

Develop Adaptive Interventions

Just-in-time adaptive interventions (JITAIs) are a special type of adaptive intervention where—thanks to mobile technology like activity sensors and smartphones—an intervention can be delivered when and where it is needed.

Read more about JITAIs and Related Methods

Understand Associations That Change Over Time

Time-varying effect modeling (TVEM) allows scientists to understand the way associations between variables change over time.

Read more about TVEM



Optimize Interventions

The multiphase optimization strategy (MOST) is a framework for engineering interventions in order to get the maximum impact from an intervention.

Read more about MOST

Identify Important Variables in Large Data Sets

 Our high-dimensional data project provides tools for variable screening and selection in datasets with large numbers of variables, like genetics data.

Read more about high-dimensional data