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06/29/2023
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
The use of smart devices (e.g., smartphones, smartwatches) and other wea...
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06/28/2023
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
Twin revolutions in wearable technologies and smartphone-delivered digit...
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06/26/2023
Exploring the big data paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS)
Selection bias poses a challenge to statistical inference validity in no...
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02/17/2023
Design of Experiments with Sequential Randomizations on Multiple Timescales: The Hybrid Experimental Design
Psychological interventions, especially those leveraging mobile and wire...
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12/02/2022
Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes
Construction of just-in-time adaptive interventions, such as prompts del...
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08/17/2022
Node-level community detection within edge exchangeable models for interaction processes
Scientists are increasingly interested in discovering community structur...
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04/13/2022
Recurrent event analysis in the presence of real-time high frequency data via random subsampling
Digital monitoring studies collect real-time high frequency data via mob...
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11/01/2021
Kernel Deformed Exponential Families for Sparse Continuous Attention
Attention mechanisms take an expectation of a data representation with r...
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10/11/2021
SMART Binary: Sample Size Calculation for Comparing Adaptive Interventions in SMART studies with Longitudinal Binary Outcomes
Sequential Multiple-Assignment Randomized Trials (SMARTs) play an increa...
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02/02/2021
Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
Micro-randomized trial (MRT) is a sequential randomized experimental des...
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05/21/2020
The Hypothesis of Testing: Paradoxes arising out of reported coronavirus case-counts
Many statisticians, epidemiologists, economists and data scientists have...
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03/02/2020
A Functional EM Algorithm for Panel Count Data with Missing Counts
Panel count data is recurrent events data where counts of events are obs...
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01/28/2019
Hierarchical network models for structured exchangeable interaction processes
Network data often arises via a series of structured interactions among ...
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10/24/2018
Exchangeable, Markov multi-state survival process
We consider exchangeable Markov multi-state survival processes -- tempor...
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11/09/2017
