Bayesian sequential analysis of adverse events with binary data
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jiayue, Boukai, Ben |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Sequential Procedure for Early Detection of Multiple Side Effects
by: Wang, Jiayue, et al.
Published: (2024)
by: Wang, Jiayue, et al.
Published: (2024)
Early Detection of Treatments Side Effect: A Sequential Approach
by: Wang, Jiayue, et al.
Published: (2024)
by: Wang, Jiayue, et al.
Published: (2024)
Using off-treatment sequential multiple imputation for binary outcomes to address intercurrent events handled by a treatment policy strategy
by: Rehal, Sunita, et al.
Published: (2025)
by: Rehal, Sunita, et al.
Published: (2025)
Efficient scenario analysis in real-time Bayesian election forecasting via sequential meta-posterior sampling
by: Han, Geonhee, et al.
Published: (2025)
by: Han, Geonhee, et al.
Published: (2025)
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)
by: Chen, David, et al.
Published: (2024)
Optimal sequential two-stage Bayes Factor Design for two-arm clinical Phase II Trials with binary Endpoints
by: Kelter, Riko
Published: (2026)
by: Kelter, Riko
Published: (2026)
Simulation-based Bayesian predictive probability of success for interim monitoring of clinical trials with competing event data: two case studies
by: Micoli, Chiara, et al.
Published: (2024)
by: Micoli, Chiara, et al.
Published: (2024)
Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, et al.
Published: (2026)
by: Xu, Zichun, et al.
Published: (2026)
Optimal scheduling of interim analyses in group sequential trials
by: He, Zhangyi, et al.
Published: (2025)
by: He, Zhangyi, et al.
Published: (2025)
A Bayesian multivariate extreme value mixture model
by: Hu, Chenglei, et al.
Published: (2024)
by: Hu, Chenglei, et al.
Published: (2024)
BayesFBHborrow: An R Package for Bayesian borrowing for time-to-event data from a flexible baseline hazard
by: Axillus, Sophia, et al.
Published: (2024)
by: Axillus, Sophia, et al.
Published: (2024)
Meta-analysis of networks of diagnostic tests with binary and continuous results
by: Derezea, Efthymia, et al.
Published: (2026)
by: Derezea, Efthymia, et al.
Published: (2026)
A finite-infinite shared atoms nested model for the Bayesian analysis of large grouped data
by: D'Angelo, Laura, et al.
Published: (2024)
by: D'Angelo, Laura, et al.
Published: (2024)
Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)
by: Loewinger, Gabriel, et al.
Published: (2024)
Borrowing strength between unaligned binary time-series via Bayesian nonparametric rescaling of Unified Skewed Normal priors
by: Cantoni, Beatrice, et al.
Published: (2025)
by: Cantoni, Beatrice, et al.
Published: (2025)
Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)
by: Bhandari, Saurabh, et al.
Published: (2025)
Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events
by: Gao, Chenyin, et al.
Published: (2025)
by: Gao, Chenyin, et al.
Published: (2025)
Bayesian hierarchical models with calibrated mixtures of g-priors for assessing treatment effect moderation in meta-analysis
by: Wang, Qiao, et al.
Published: (2024)
by: Wang, Qiao, et al.
Published: (2024)
Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)
by: Mauri, Lorenzo, et al.
Published: (2026)
Bayesian principal stratification with longitudinal data and truncation by death
by: Grossi, Giulio, et al.
Published: (2023)
by: Grossi, Giulio, et al.
Published: (2023)
Consistent Bayesian meta-analysis on subgroup specific effects and interactions
by: Panaro, Renato, et al.
Published: (2025)
by: Panaro, Renato, et al.
Published: (2025)
Hierarchical Bayesian spectral analysis of multiple stationary time series
by: Lee, Rebecca, et al.
Published: (2025)
by: Lee, Rebecca, et al.
Published: (2025)
Sparse two-stage Bayesian meta-analysis for individualized treatments
by: Shen, Junwei, et al.
Published: (2024)
by: Shen, Junwei, et al.
Published: (2024)
A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study
by: Bhandari, Saurabh, et al.
Published: (2024)
by: Bhandari, Saurabh, et al.
Published: (2024)
Monitoring time to event in registry data using CUSUMs based on relative survival models
by: Tran, Jimmy Huy, et al.
Published: (2024)
by: Tran, Jimmy Huy, et al.
Published: (2024)
Copas-Heckman-type sensitivity analysis for publication bias in rare-event meta-analysis under generalized linear mixed models
by: Zhou, Yi, et al.
Published: (2024)
by: Zhou, Yi, et al.
Published: (2024)
Bayesian Source Apportionment of Spatio-temporal air pollution data
by: Frigeri, Michela, et al.
Published: (2025)
by: Frigeri, Michela, et al.
Published: (2025)
Bayesian kernel machine regression for heteroscedastic health outcome data
by: Smith, Melissa J., et al.
Published: (2025)
by: Smith, Melissa J., et al.
Published: (2025)
Bayesian generalized method of moments applied to pseudo-observations in survival analysis
by: Orsini, Léa, et al.
Published: (2024)
by: Orsini, Léa, et al.
Published: (2024)
Ridge, lasso, and elastic-net estimations of the modified Poisson and least-squares regressions for binary outcome data
by: Kitano, Takahiro, et al.
Published: (2024)
by: Kitano, Takahiro, et al.
Published: (2024)
Surviving the frailty of time to event analysis in massive datasets with Generalized Additive Models (and the help of Simon Laplace)
by: Argyropoulos, Christos, et al.
Published: (2025)
by: Argyropoulos, Christos, et al.
Published: (2025)
Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden
by: Alt, Ethan M., et al.
Published: (2024)
by: Alt, Ethan M., et al.
Published: (2024)
Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
by: Aiello, Luca, et al.
Published: (2025)
by: Aiello, Luca, et al.
Published: (2025)
Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)
by: Ji, Feng, et al.
Published: (2024)
Learning Bayesian networks: a copula approach for mixed-type data
by: Castelletti, Federico
Published: (2023)
by: Castelletti, Federico
Published: (2023)
A Bayesian nonlinear stationary model with multiple frequencies for business cycle analysis
by: Lenart, Łukasz, et al.
Published: (2024)
by: Lenart, Łukasz, et al.
Published: (2024)
Efficient Bayesian functional principal component analysis of irregularly-observed multivariate curves
by: Nolan, Tui, et al.
Published: (2023)
by: Nolan, Tui, et al.
Published: (2023)
Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)
by: Junglee, Yovna, et al.
Published: (2025)
Residual lifetime prediction for heterogeneous degradation data by Bayesian semi-parametric method
by: Karmakar, Barin, et al.
Published: (2025)
by: Karmakar, Barin, et al.
Published: (2025)
A Bayesian multivariate model with temporal dependence on random partition of areal data
by: Pavani, Jessica, et al.
Published: (2024)
by: Pavani, Jessica, et al.
Published: (2024)
Similar Items
-
Optimal Sequential Procedure for Early Detection of Multiple Side Effects
by: Wang, Jiayue, et al.
Published: (2024) -
Early Detection of Treatments Side Effect: A Sequential Approach
by: Wang, Jiayue, et al.
Published: (2024) -
Using off-treatment sequential multiple imputation for binary outcomes to address intercurrent events handled by a treatment policy strategy
by: Rehal, Sunita, et al.
Published: (2025) -
Efficient scenario analysis in real-time Bayesian election forecasting via sequential meta-posterior sampling
by: Han, Geonhee, et al.
Published: (2025) -
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)