Saved in:
| Main Authors: | Yauck, Mamadou, Moodie, Erica EM, Fourmigue, Alain, Dvorakova, Milada, Lambert, Gilles, Grace, Daniel, Cox, Joseph |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.04564 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Small Sample Inference for Two-way Capture Recapture Experiments
by: Rivest, Louis-Paul, et al.
Published: (2023)
by: Rivest, Louis-Paul, et al.
Published: (2023)
Bayesian Optimization for Identification of Optimal Biological Dose Combinations in Personalized Dose-Finding Trials
by: Willard, James, et al.
Published: (2024)
by: Willard, James, et al.
Published: (2024)
Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026)
by: Wigle, Augustine, et al.
Published: (2026)
Information Borrowing from Partially Compatible Trajectories for Estimation of Dynamic Treatment Regimes
by: Si, Chloe, et al.
Published: (2025)
by: Si, Chloe, et al.
Published: (2025)
Revisiting the Effects of Maternal Education on Adolescents' Academic Performance: Doubly Robust Estimation in a Network-Based Observational Study
by: McNealis, Vanessa, et al.
Published: (2023)
by: McNealis, Vanessa, et al.
Published: (2023)
Personalized Treatment Hierarchies in Bayesian Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026)
by: Wigle, Augustine, et al.
Published: (2026)
A Bayesian adaptive enrichment design using aggregate historical data to inform individualized treatment recommendations
by: Maleyeff, Lara, et al.
Published: (2026)
by: Maleyeff, Lara, et al.
Published: (2026)
Sparse two-stage Bayesian meta-analysis for individualized treatments
by: Shen, Junwei, et al.
Published: (2024)
by: Shen, Junwei, et al.
Published: (2024)
fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging
by: Maleyeff, Lara, et al.
Published: (2025)
by: Maleyeff, Lara, et al.
Published: (2025)
Joint mixed-effects models for causal inference in clustered network-based observational studies
by: McNealis, Vanessa, et al.
Published: (2024)
by: McNealis, Vanessa, et al.
Published: (2024)
An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables
by: Maleyeff, Lara, et al.
Published: (2024)
by: Maleyeff, Lara, et al.
Published: (2024)
Individualized treatment regimens under correlated data with multiple outcomes
by: Dolmatov, Misha, et al.
Published: (2025)
by: Dolmatov, Misha, et al.
Published: (2025)
Inference from multivariate differential recruitment in respondent-driven sampling data
by: Reinoso, Vanesa, et al.
Published: (2026)
by: Reinoso, Vanesa, et al.
Published: (2026)
Bayesian Optimization for Personalized Dose-Finding Trials with Combination Therapies
by: Willard, James, et al.
Published: (2023)
by: Willard, James, et al.
Published: (2023)
Small Sample Inference for Two‐Way Capture‐Recapture Experiments
by: Louis‐Paul Rivest, et al.
Published: (2024)
by: Louis‐Paul Rivest, et al.
Published: (2024)
Inference on state occupancy in covariate-driven hidden Markov models
by: Vienken, Maya N., et al.
Published: (2025)
by: Vienken, Maya N., et al.
Published: (2025)
Determining vaccine responders in the presence of baseline immunity using single-cell assays and paired control samples
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention
by: Williamson, Brian D., et al.
Published: (2023)
by: Williamson, Brian D., et al.
Published: (2023)
Comparing HIV Vaccine Immunogenicity across Trials with Different Populations and Study Designs
by: Jin, Yutong, et al.
Published: (2024)
by: Jin, Yutong, et al.
Published: (2024)
Machine learning methods for finite population parameter estimation in survey sampling
by: Dagdoug, Mehdi, et al.
Published: (2026)
by: Dagdoug, Mehdi, et al.
Published: (2026)
Estimating sample size in dental research
by: Lim, Hoi-Jeong
Published: (2025)
by: Lim, Hoi-Jeong
Published: (2025)
Predictive posteriors under hidden confounding
by: Meixide, Carlos García, et al.
Published: (2025)
by: Meixide, Carlos García, et al.
Published: (2025)
Estimation de la tendance-cycle avec des méthodes robustes aux points atypiques
by: Quartier-la-Tente, Alain
Published: (2025)
by: Quartier-la-Tente, Alain
Published: (2025)
Optimal Dynamic Treatment Regime Estimation in the Presence of Nonadherence
by: Spicker, Dylan, et al.
Published: (2024)
by: Spicker, Dylan, et al.
Published: (2024)
A Bayesian likely responder approach for the analysis of randomized controlled trials
by: Deng, Annan, et al.
Published: (2025)
by: Deng, Annan, et al.
Published: (2025)
Comparing Propensity Score-Based Methods in Estimating the Treatment Effects: A Simulation Study
by: Poletto, Sara, et al.
Published: (2024)
by: Poletto, Sara, et al.
Published: (2024)
Are Information criteria good enough to choose the right the number of regimes in Hidden Markov Models?
by: Nasri, Bouchra R, et al.
Published: (2023)
by: Nasri, Bouchra R, et al.
Published: (2023)
Efficiency gain in association studies based on population surveys by augmenting outcome data from the target population
by: Härkänen, Tommi, et al.
Published: (2024)
by: Härkänen, Tommi, et al.
Published: (2024)
Bayesian Hierarchical Model for Assessing Cost-Effectiveness of Municipal Water Systems in Senegal
by: Ndiaye, Ibrahim, et al.
Published: (2001)
by: Ndiaye, Ibrahim, et al.
Published: (2001)
Estimation of the complier causal hazard ratio under dependent censoring
by: Crommen, Gilles, et al.
Published: (2025)
by: Crommen, Gilles, et al.
Published: (2025)
Shared hidden-factor information framework for multiple behavioral tasks
by: Bian, Yuan, et al.
Published: (2026)
by: Bian, Yuan, et al.
Published: (2026)
Fast and scalable inference in hidden Markov models with Gaussian fields
by: Fischer, Jan-Ole
Published: (2026)
by: Fischer, Jan-Ole
Published: (2026)
Flexible unimodal density estimation in hidden Markov models
by: Koslik, Jan-Ole, et al.
Published: (2025)
by: Koslik, Jan-Ole, et al.
Published: (2025)
Autoregressive hidden Markov models for high-resolution animal movement data
by: Stoye, Ferdinand V., et al.
Published: (2024)
by: Stoye, Ferdinand V., et al.
Published: (2024)
Estimation and convergence rates in the distributional single index model
by: Balabdaoui, Fadoua, et al.
Published: (2023)
by: Balabdaoui, Fadoua, et al.
Published: (2023)
Quantization-based LHS for dependent inputs : application to sensitivity analysis of environmental models
by: Lambert, Guerlain, et al.
Published: (2024)
by: Lambert, Guerlain, et al.
Published: (2024)
Fully Data-driven Normalized and Exponentiated Kernel Density Estimator with Hyvärinen Score
by: Imai, Shunsuke, et al.
Published: (2022)
by: Imai, Shunsuke, et al.
Published: (2022)
Methodological Assessment of Public Health Surveillance Systems in Senegal Using Panel Data for Yield Improvement Evaluation
by: Mbodj, Mamadou, et al.
Published: (2007)
by: Mbodj, Mamadou, et al.
Published: (2007)
Post-selection inference with a single realization of a network
by: Ancell, Ethan, et al.
Published: (2025)
by: Ancell, Ethan, et al.
Published: (2025)
Joint estimation of insurance loss development factors using Bayesian hidden Markov models
by: Goold, Conor
Published: (2024)
by: Goold, Conor
Published: (2024)
Similar Items
-
Small Sample Inference for Two-way Capture Recapture Experiments
by: Rivest, Louis-Paul, et al.
Published: (2023) -
Bayesian Optimization for Identification of Optimal Biological Dose Combinations in Personalized Dose-Finding Trials
by: Willard, James, et al.
Published: (2024) -
Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026) -
Information Borrowing from Partially Compatible Trajectories for Estimation of Dynamic Treatment Regimes
by: Si, Chloe, et al.
Published: (2025) -
Revisiting the Effects of Maternal Education on Adolescents' Academic Performance: Doubly Robust Estimation in a Network-Based Observational Study
by: McNealis, Vanessa, et al.
Published: (2023)