Video: Introduction to MOST

January 23, 2018:LINDAMOST

We recently released an eight-minute video that provides a conceptual overview of the multiphase optimization strategy (MOST). Methodology Center Director Linda Collins explains the phases MOST, a framework for optimizing behavioral and biobehavioral interventions. This is the third in our new series of instructional videos; video introductions to latent class analysis and time-varying effect modeling are also available.


Video: Two-Hour MOST Workshop

November 21, 2017:linda one on one

Thanks to all who participated in our 1 & 1 workshop on the multiphase optimization strategy (MOST). On Tuesday, November 14, 2017, Methodology Center Director Linda Collins presented an introduction to optimizing health interventions using MOST. We filmed both the one-hour presentation and the one-hour question-and-answer session that followed. If you were unable to attend, this recording of the workshop is a great way to learn the basics of MOST.

We will continue to host more 1 & 1 workshops. Watch the newsletter and our website for upcoming workshop topics, dates, and times.

Watch the video.

Videos: Introduction to Just-in-Time Adaptive Interventions

March 13, 2017:

Susan MurphyIn our latest video releases, Methodology Center Investigator Susan Murphy introduces some innovative tools for building adaptive health interventions that can be delivered through a smartphone or other mobile device. In the first video, she introduces the just-in-time adaptive intervention (JITAI), a type of intervention that uses real-time data to deliver interventions as needed via mobile devices. In the second video, she introduces the microrandomized trial, an innovative trial design for building JITAIs. In the third video, Susan discusses data analysis to inform the development of a JITAI.



Nahum-Shani, I., Smith, S.N. Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018). Just-in-time adaptive interventions (JITAIs) in mobile health: Key components and design principles for ongoing health behavior support. Annals of Behavioral Medicine. doi:10.1007/s12160-016-9830-8


Klasnja, P., Hekler, E. B., Shiffman, S., Boruvka, A., Almirall, D., Tewari, A. and Murphy, S. A. (2015). Micro-randomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psychology. Vol 34(Suppl):1220-1228. doi: 10.1037/hea0000305. PubMed PMID: 26651463; PubMed Central PMCID: PMC4732571​

Liao,P., Klasnja, P., Tewari, P., Murphy, S. A. (2018). Sample size calculations for micro-randomized trials in mHealth. Statistics in Medicine. 2015 Dec 28. doi: 10.1002/sim.6847. PubMed PMID: 26707831


Boruvka, A., Almirall, D., Witkiewitz, K., Murphy, S. A. (in press) Assessing time-varying causal effect moderation in mobile health. Journal of the American Statistical Association.

Video: Introduction to TVEM

October 25, 2016:

We recently released a nine-minute video that provides a conceptual overview of time-varying effect modeling (TVEM). Methodology Center Scientific Director Stephanie Lanza describes two published examples of TVEM and explains how TVEM can be useful with different types of data. This is the second in our new series of instructional videos; a video introduction to latent class analysis is also available.

Watch the video.

Video: Time-Varying Effect Modeling for Multiple Data Types

February 17, 2016:
Methodology Center Scientific Director Stephanie Lanza recently presented a video lecture as part of the “Medicine: Mind the Gap” National Institutes of Health (NIH) seminar series. In the one-hour lecture, she discusses time-varying effect modeling (TVEM) and how it can be used to answer questions about the way relationships change over time. This lecture introduces TVEM within the context of two studies: a nicotine intervention that uses ecological momentary assessments (EMA) and an e-cigarette study that uses cross-sectional data that spans developmental age.

The “Medicine: Mind the Gap” lecture series explores issues at the intersection of research, evidence, and clinical practice—areas in which conventional wisdom may be contradicted by recent evidence. The goal of the series is to engage the NIH community in thought-provoking discussions about their role in helping to guide today’s research.
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