Robust Bayesian causal estimation for causal inference in medical diagnosis
Fuente:
arXiv
Saved in:
| Main Authors: | Basu, Tathagata, Troffaes, Matthias C. M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)
by: Castelletti, Federico, et al.
Published: (2024)
A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)
by: Luo, Yu, et al.
Published: (2025)
Connections as treatment: causal inference with edge interventions in networks
by: Chen, Shuli, et al.
Published: (2026)
by: Chen, Shuli, et al.
Published: (2026)
Combining observational and experimental data for causal inference considering data privacy
by: Mann, Charlotte Z., et al.
Published: (2023)
by: Mann, Charlotte Z., et al.
Published: (2023)
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)
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)
Multiply robust estimation for causal survival analysis with treatment noncompliance
by: Cheng, Chao, et al.
Published: (2023)
by: Cheng, Chao, et al.
Published: (2023)
Autoregressive models for panel data causal inference with application to state-level opioid policies
by: Antonelli, Joseph, et al.
Published: (2024)
by: Antonelli, Joseph, et al.
Published: (2024)
Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables
by: Park, Kwangmoon, et al.
Published: (2026)
by: Park, Kwangmoon, et al.
Published: (2026)
Do-search -- a tool for causal inference and study design with multiple data sources
by: Karvanen, Juha, et al.
Published: (2020)
by: Karvanen, Juha, et al.
Published: (2020)
A scalable Bayesian double machine learning framework for high dimensional causal estimation, with application to racial disproportionality assessment
by: Luo, Yu, et al.
Published: (2025)
by: Luo, Yu, et al.
Published: (2025)
Spatiotemporal causal inference with arbitrary spillover and carryover effects: Airstrikes and insurgent violence in the Iraq War
by: Mukaigawara, Mitsuru, et al.
Published: (2025)
by: Mukaigawara, Mitsuru, et al.
Published: (2025)
Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)
by: Nandy, Amarnath, et al.
Published: (2024)
Leveraging text data for causal inference using electronic health records
by: Mozer, Reagan, et al.
Published: (2023)
by: Mozer, Reagan, et al.
Published: (2023)
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)
A conceptual synthesis of causal assumptions for causal discovery and inference
by: Correia, Hannah E.
Published: (2025)
by: Correia, Hannah E.
Published: (2025)
Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)
by: Cheng, Chao, et al.
Published: (2026)
Sharp variance estimator and causal bootstrap in stratified randomized experiments
by: Yu, Haoyang, et al.
Published: (2024)
by: Yu, Haoyang, et al.
Published: (2024)
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
by: Liu, Xueqing, et al.
Published: (2023)
by: Liu, Xueqing, et al.
Published: (2023)
Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
by: Aurensanz-Crespo, Adrián, et al.
Published: (2026)
by: Aurensanz-Crespo, Adrián, et al.
Published: (2026)
Quantifying uncertainty of individualized treatment effects in right-censored survival data: A comparison of Bayesian additive regression trees and causal survival forest
by: Kabata, Daijiro, et al.
Published: (2025)
by: Kabata, Daijiro, et al.
Published: (2025)
Comparing causal parameters with many treatments and positivity violations
by: McClean, Alec, et al.
Published: (2024)
by: McClean, Alec, 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)
Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
by: Ballerini, Veronica, et al.
Published: (2023)
by: Ballerini, Veronica, et al.
Published: (2023)
crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding
by: Liu, Richard, et al.
Published: (2026)
by: Liu, Richard, et al.
Published: (2026)
Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)
by: Yip, Hiu Ching, et al.
Published: (2024)
Extension of Dynamic Network Biomarker using the propensity score method: Simulation of causal effects on variance and correlation coefficient
by: Shinoda, Satoru, et al.
Published: (2025)
by: Shinoda, Satoru, et al.
Published: (2025)
BLOG: Bayesian Longitudinal Omics with Group Constraints
by: Popa, Livia, et al.
Published: (2025)
by: Popa, Livia, et al.
Published: (2025)
On the Testing of complete causal mediation and its applications
by: Tsai, Yichin, et al.
Published: (2025)
by: Tsai, Yichin, et al.
Published: (2025)
Finite-sample bias-variance tradeoff with variables related to trial participation inserted into causal forest models for ensuring generalizability
by: Hamaya, Rikuta, et al.
Published: (2025)
by: Hamaya, Rikuta, et al.
Published: (2025)
Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
by: Pakrashi, Anis, et al.
Published: (2024)
by: Pakrashi, Anis, et al.
Published: (2024)
Bayesian estimation of clustered dependence structures in functional neuroconnectivity
by: Kim, Hyoshin, et al.
Published: (2023)
by: Kim, Hyoshin, et al.
Published: (2023)
Robust inference for the unification of confidence intervals in meta-analysis
by: Liang, Wei, et al.
Published: (2024)
by: Liang, Wei, et al.
Published: (2024)
A Bayesian theory for estimation of biodiversity
by: Rigon, Tommaso, et al.
Published: (2025)
by: Rigon, Tommaso, et al.
Published: (2025)
Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
Gender disparities in rehospitalisations after coronary artery bypass grafting: evidence from a sparse functional causal mediation analysis of the MIMIC-IV data
by: Xu, Henan, et al.
Published: (2024)
by: Xu, Henan, et al.
Published: (2024)
Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence
by: Pyne, Arijit, et al.
Published: (2022)
by: Pyne, Arijit, et al.
Published: (2022)
Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)
by: Whitaker, Sam A., et al.
Published: (2024)
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)
Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
by: Howes, Adam, et al.
Published: (2025)
by: Howes, Adam, et al.
Published: (2025)
Similar Items
-
Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024) -
A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025) -
Connections as treatment: causal inference with edge interventions in networks
by: Chen, Shuli, et al.
Published: (2026) -
Combining observational and experimental data for causal inference considering data privacy
by: Mann, Charlotte Z., et al.
Published: (2023) -
Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)