5 citations · 8 across the 5 of their papers we have counts for
6 papers
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…
Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure
Halie M. Rando, Adam L. MacLean, Alexandra J. Lee +31
The novel coronavirus SARS-CoV-2, which emerged in late 2019, has since spread around the world and infected hundreds of millions of people with coronavirus disease 2019 (COVID-19)…