When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence
Fuente:
arXiv
Saved in:
| Main Authors: | Kuh, Swen, Kennedy, Lauren, Chen, Qixuan, Gelman, Andrew |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
by: Gelman, Andrew, et al.
Published: (2019)
by: Gelman, Andrew, et al.
Published: (2019)
A calibrated BISG for inferring race from surname and geolocation
by: Greengard, Philip, et al.
Published: (2023)
by: Greengard, Philip, et al.
Published: (2023)
Bias reduction in g-computation for covariate adjustment in randomized clinical trials
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
by: Mikhaeil, Jonas, et al.
Published: (2024)
by: Mikhaeil, Jonas, et al.
Published: (2024)
A robust score test in g-computation for covariate adjustment in randomized clinical trials leveraging different variance estimators via influence functions
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
Bayesian analysis of restricted mean survival time adjusted for covariates using pseudo-observations
by: Orsini, Léa, et al.
Published: (2025)
by: Orsini, Léa, 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)
Profile least squares estimation in networks with covariates
by: Chandna, Swati, et al.
Published: (2024)
by: Chandna, Swati, et al.
Published: (2024)
Direct covariance matrix estimation with compositional data
by: Molstad, Aaron J., et al.
Published: (2022)
by: Molstad, Aaron J., et al.
Published: (2022)
Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
by: Chen, Xinyuan, et al.
Published: (2023)
by: Chen, Xinyuan, et al.
Published: (2023)
A decay-adjusted spatio-temporal model to account for the impact of mass drug administration on neglected tropical disease prevalence
by: Giorgi, Emanuele, et al.
Published: (2025)
by: Giorgi, Emanuele, et al.
Published: (2025)
Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
by: Sondhi, Arjun, et al.
Published: (2024)
by: Sondhi, Arjun, et al.
Published: (2024)
Feature aware covariance estimation, with application to mixtures of chemical exposures
by: Bersson, Elizabeth, et al.
Published: (2025)
by: Bersson, Elizabeth, et al.
Published: (2025)
A regularized multi-state model for covariate selection with interval-censored survival data
by: Bercu, Ariane, et al.
Published: (2025)
by: Bercu, Ariane, et al.
Published: (2025)
cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates
by: Govan, Emma, et al.
Published: (2024)
by: Govan, Emma, et al.
Published: (2024)
Hypergraph adjusted plus-minus
by: Josephs, Nathaniel, et al.
Published: (2024)
by: Josephs, Nathaniel, 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)
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)
The Effects of Major League Baseball's Ban on Infield Shifts: A Quasi-Experimental Analysis
by: Kennedy-Shaffer, Lee
Published: (2024)
by: Kennedy-Shaffer, Lee
Published: (2024)
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness
by: Trangucci, Rob, et al.
Published: (2022)
by: Trangucci, Rob, et al.
Published: (2022)
Hybrid methods for missing categorical covariates in Cox model
by: Dioni, Abdoulaye, et al.
Published: (2025)
by: Dioni, Abdoulaye, et al.
Published: (2025)
Comparing estimators of discriminative performance of time-to-event models
by: Jin, Ying, et al.
Published: (2024)
by: Jin, Ying, et al.
Published: (2024)
A flexible and interpretable spatial covariance model for data on graphs
by: Christensen, Michael F., et al.
Published: (2022)
by: Christensen, Michael F., et al.
Published: (2022)
A new test for assessing the covariate effect in ROC curves
by: Fanjul-Hevia, Arís, et al.
Published: (2024)
by: Fanjul-Hevia, Arís, et al.
Published: (2024)
Analysis of spatially clustered survival data with unobserved covariates using SBART
by: Ghosh, Durbadal, et al.
Published: (2024)
by: Ghosh, Durbadal, et al.
Published: (2024)
Tree models for covariate-dependent method agreement with repeated measurements in clinical research
by: Karapetyan, Siranush, et al.
Published: (2026)
by: Karapetyan, Siranush, et al.
Published: (2026)
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)
Population Size Estimation with Many Lists and Heterogeneity: A Conditional Log-Linear Model Among the Unobserved
by: Rubio, Mateo Dulce, et al.
Published: (2024)
by: Rubio, Mateo Dulce, et al.
Published: (2024)
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023)
by: Cheng, Chao, et al.
Published: (2023)
DiPPER: A Bayesian approach to differential prevalence analysis with applications in microbiome studies
by: Pelto, Juho, et al.
Published: (2026)
by: Pelto, Juho, et al.
Published: (2026)
Link prediction in ecological networks under extreme taxonomic bias
by: Kampe, Jennifer N., et al.
Published: (2025)
by: Kampe, Jennifer N., et al.
Published: (2025)
Correcting inferences for volunteer-collected data with geospatial sampling bias
by: Lugtig, Peter, et al.
Published: (2022)
by: Lugtig, Peter, et al.
Published: (2022)
A Generalized Difference-in-Differences Estimator for Randomized Stepped-Wedge and Observational Staggered Adoption Settings
by: Kennedy-Shaffer, Lee
Published: (2024)
by: Kennedy-Shaffer, Lee
Published: (2024)
A novel smoothing-based goodness-of-fit test of covariance for multivariate sparse functional data
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
A tree-based model for addressing sparsity and taxa covariance in microbiome compositional count data
by: Wang, Zhuoqun, et al.
Published: (2021)
by: Wang, Zhuoqun, et al.
Published: (2021)
Empirical Bayes learning from selectively reported confidence intervals
by: Chen, Hunter, et al.
Published: (2025)
by: Chen, Hunter, et al.
Published: (2025)
Roughness regularization for functional data analysis with free knots spline estimation
by: De Magistris, Anna, et al.
Published: (2024)
by: De Magistris, Anna, et al.
Published: (2024)
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
by: Blasi, Federico, et al.
Published: (2024)
by: Blasi, Federico, et al.
Published: (2024)
Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
by: Wang, Ziyou, et al.
Published: (2026)
by: Wang, Ziyou, et al.
Published: (2026)
Causal inference and racial bias in policing: New estimands and the importance of mobility data
by: Huang, Zhuochao, et al.
Published: (2024)
by: Huang, Zhuochao, et al.
Published: (2024)
Similar Items
-
Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
by: Gelman, Andrew, et al.
Published: (2019) -
A calibrated BISG for inferring race from surname and geolocation
by: Greengard, Philip, et al.
Published: (2023) -
Bias reduction in g-computation for covariate adjustment in randomized clinical trials
by: Zhang, Xin, et al.
Published: (2025) -
Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
by: Mikhaeil, Jonas, et al.
Published: (2024) -
A robust score test in g-computation for covariate adjustment in randomized clinical trials leveraging different variance estimators via influence functions
by: Zhang, Xin, et al.
Published: (2025)