5 citations · 8 across the 5 of their papers we have counts for
5 papers · 1 filter
Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
John J. Dziak, Inbal Nahum-Shani
Background: Adaptive interventions provide a guide for using ongoing information about individuals to decide whether and how to modify the type, amount, delivery modality, or timin…
Design of Experiments with Sequential Randomizations on Multiple Timescales: The Hybrid Experimental Design
Inbal Nahum-Shani, John J. Dziak, Hanna Venera +3
Psychological interventions, especially those leveraging mobile and wireless technologies, often include multiple components that are delivered and adapted on multiple timescales (…
A causal approach to functional mediation analysis with application to a smoking cessation intervention
Donna L. Coffman, John J. Dziak, Kaylee Litson +3
The increase in the use of mobile and wearable devices now allows dense assessment of mediating processes over time. For example, a pharmacological intervention may have an effect…
SMART Binary: Sample Size Calculation for Comparing Adaptive Interventions in SMART studies with Longitudinal Binary Outcomes
John J. Dziak, Daniel Almirall, Walter Dempsey +2
Sequential Multiple-Assignment Randomized Trials (SMARTs) play an increasingly important role in psychological and behavioral health research. This experimental approach enables re…
Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes
Jamie Yap, John J. Dziak, Raju Maiti +4
Dynamic treatment regimens (DTRs), also known as treatment algorithms or adaptive interventions, play an increasingly important role in many health domains. DTRs are motivated to a…