Practical considerations when designing an online learning algorithm for an app-based mHealth intervention
Fuente:
arXiv
Saved in:
| Main Authors: | Gonzalez, Rachel T, Abbott, Madeline R, Nallamothu, Brahmajee, Hummel, Scott, Dorsch, Michael, Dempsey, Walter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
by: Vega, Sofia L., et al.
Published: (2025)
by: Vega, Sofia L., et al.
Published: (2025)
Practical considerations for specifying a super learner
by: Phillips, Rachael V., et al.
Published: (2022)
by: Phillips, Rachael V., et al.
Published: (2022)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
Evaluation of the HeartSteps Online Sampling Algorithm
by: Meng, Xiang, et al.
Published: (2025)
by: Meng, Xiang, et al.
Published: (2025)
Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular
by: Bobb, Jennifer F., et al.
Published: (2026)
by: Bobb, Jennifer F., et al.
Published: (2026)
State policy heterogeneity analyses: considerations and proposals
by: Rubinstein, Max, et al.
Published: (2026)
by: Rubinstein, Max, et al.
Published: (2026)
Importance sampling for online variational learning
by: Chagneux, Mathis, et al.
Published: (2024)
by: Chagneux, Mathis, et al.
Published: (2024)
Ethical considerations for data involving human gender and sex variables
by: Thornton, Suzanne, et al.
Published: (2024)
by: Thornton, Suzanne, et al.
Published: (2024)
Simple binning algorithm and SimDec visualization for comprehensive sensitivity analysis of complex computational models
by: Kozlova, Mariia, et al.
Published: (2023)
by: Kozlova, Mariia, et al.
Published: (2023)
A non-parametric optimal design algorithm for population pharmacokinetics
by: Hovd, Markus, et al.
Published: (2025)
by: Hovd, Markus, et al.
Published: (2025)
CVXSADes: a stochastic algorithm for constructing optimal exact regression designs with single or multiple objectives
by: Yeh, Chi-Kuang, et al.
Published: (2024)
by: Yeh, Chi-Kuang, et al.
Published: (2024)
Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
by: Zhang, Jeffrey, et al.
Published: (2025)
by: Zhang, Jeffrey, et al.
Published: (2025)
Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
by: Dey, Debangan, et al.
Published: (2026)
by: Dey, Debangan, et al.
Published: (2026)
Connections as treatment: causal inference with edge interventions in networks
by: Chen, Shuli, et al.
Published: (2026)
by: Chen, Shuli, et al.
Published: (2026)
Estimating average treatment effects when treatment data are absent in a target study
by: Wen, Lan, et al.
Published: (2025)
by: Wen, Lan, et al.
Published: (2025)
Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
Design-based inference for generalized network experiments with stochastic interventions
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Bounding interventional queries from generalized incomplete contingency tables
by: Lodato, Ivano, et al.
Published: (2025)
by: Lodato, Ivano, et al.
Published: (2025)
Sequential Kalman filter for fast online changepoint detection in longitudinal health records
by: Li, Hanmo, et al.
Published: (2023)
by: Li, Hanmo, et al.
Published: (2023)
Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health
by: Chen, Kevin L., et al.
Published: (2024)
by: Chen, Kevin L., et al.
Published: (2024)
Component over Composite: Mitigating Type I Error Inflation when Imputing "Days Alive and at Home"
by: Tackney, Mia S., et al.
Published: (2026)
by: Tackney, Mia S., et al.
Published: (2026)
Investigating the performance of the Phase II Hotelling T2 chart when monitoring multivariate time series observations
by: Nadi, Adel Ahmadi, et al.
Published: (2025)
by: Nadi, Adel Ahmadi, et al.
Published: (2025)
Beyond expected values: Making environmental decisions using value of information analysis when measurement outcome matters
by: Akinlotan, Morenikeji D., et al.
Published: (2023)
by: Akinlotan, Morenikeji D., et al.
Published: (2023)
Sensitivity Analysis when Generalizing Causal Effects from Multiple Studies to a Target Population: Motivation from the ECHO Program
by: Liu, Bolun, et al.
Published: (2025)
by: Liu, Bolun, et al.
Published: (2025)
Estimation of ratios of normalizing constants using stochastic approximation : the SARIS algorithm
by: Guédon, Tom, et al.
Published: (2024)
by: Guédon, Tom, et al.
Published: (2024)
Correspondence analysis: handling cell-wise outliers via the reconstitution algorithm
by: Qi, Qianqian, et al.
Published: (2024)
by: Qi, Qianqian, et al.
Published: (2024)
Priming bias versus post-treatment bias in experimental designs
by: Blackwell, Matthew, et al.
Published: (2023)
by: Blackwell, Matthew, et al.
Published: (2023)
Optimal designs for identifying effective doses in drug combination studies
by: Schürmeyer, Leonie, et al.
Published: (2025)
by: Schürmeyer, Leonie, et al.
Published: (2025)
Regression discontinuity design in perinatal epidemiology and birth cohort research
by: Popovic, Maja, et al.
Published: (2022)
by: Popovic, Maja, et al.
Published: (2022)
Influence analyses of "designs" for evaluating inconsistency in network meta-analysis
by: Sasaki, Kotaro, et al.
Published: (2024)
by: Sasaki, Kotaro, et al.
Published: (2024)
Practical Process Capability Indices Workflows
by: Jiang, Fei, et al.
Published: (2026)
by: Jiang, Fei, et al.
Published: (2026)
A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data
by: Considine, Ellen M., et al.
Published: (2025)
by: Considine, Ellen M., et al.
Published: (2025)
Novel g-computation algorithms for time-varying actions with recurrent and semi-competing events
by: D'Alessio, Alena Sorensen, et al.
Published: (2026)
by: D'Alessio, Alena Sorensen, et al.
Published: (2026)
Dose optimization design accounting for unknown patient heterogeneity in cancer clinical trials
by: Silva, Rebecca B., et al.
Published: (2025)
by: Silva, Rebecca B., et al.
Published: (2025)
What makes a study design quasi-experimental? The case of difference-in-differences
by: Renson, Audrey, et al.
Published: (2025)
by: Renson, Audrey, et al.
Published: (2025)
A multi-arm multi-stage design for trials with all pairwise testing
by: Greenstreet, Peter, et al.
Published: (2025)
by: Greenstreet, Peter, et al.
Published: (2025)
Assurance Methods for designing a clinical trial with a delayed treatment effect
by: Salsbury, James, et al.
Published: (2023)
by: Salsbury, James, et al.
Published: (2023)
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
by: Kendall, Emmett B., et al.
Published: (2021)
by: Kendall, Emmett B., et al.
Published: (2021)
A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
by: Schaller, Ophélie, et al.
Published: (2026)
by: Schaller, Ophélie, et al.
Published: (2026)
Replicable Bandits for Digital Health Interventions
by: Zhang, Kelly W., et al.
Published: (2024)
by: Zhang, Kelly W., et al.
Published: (2024)
Similar Items
-
Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
by: Vega, Sofia L., et al.
Published: (2025) -
Practical considerations for specifying a super learner
by: Phillips, Rachael V., et al.
Published: (2022) -
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024) -
Evaluation of the HeartSteps Online Sampling Algorithm
by: Meng, Xiang, et al.
Published: (2025) -
Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular
by: Bobb, Jennifer F., et al.
Published: (2026)