202 citations
- University of MichiganUS17 papers
- University of PennsylvaniaUS3 papers
- Hankuk University of Foreign StudiesKR2 papers
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- AbbVie (United States)US1 paper
- Aix-Marseille UniversitéFR1 paper
- Astronomical Observatory of RomeIT1 paper
- Center for Astrophysics Harvard & SmithsonianUS1 paper
- Centrale MéditerranéeFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro de Estudios de Física del Cosmos de AragónES1 paper
- Château GombertFR1 paper
5 papers · 1 filter
Fully Synthetic Data for Complex Surveys
Shirley Mathur, Yajuan Si, Jerome P. Reiter
When seeking to release public use files for confidential data, statistical agencies can generate fully synthetic data. We propose an approach for making fully synthetic data from…
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…
Bayes-raking: Bayesian Finite Population Inference with Known Margins
Yajuan Si, Peigen Zhou
Raking is widely used in categorical data modeling and survey practice but faced with methodological and computational challenges. We develop a Bayesian paradigm for raking by inco…
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome
Nicholas J. Seewald, Kelley M. Kidwell, Inbal Nahum-Shani +3
Clinicians and researchers alike are increasingly interested in how best to personalize interventions. A dynamic treatment regimen (DTR) is a sequence of pre-specified decision rul…
Assessing Time-Varying Causal Effect Moderation in Mobile Health
Audrey Boruvka, Daniel Almirall, Katie Witkiewitz +1
In mobile health interventions aimed at behavior change and maintenance, treatments are provided in real time to manage current or impending high risk situations or promote healthy…