Cover Image

Mapping beyond diseases: Controlled variable selection for secondary phenotypes using tilted knockoffs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Qian, Service, Susan, Bearden, Carrie E., Lopez-Jaramillo, Carlos, Freimer, Nelson, Sabatti, Chiara
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Second-order group knockoffs with applications to GWAS
by: Chu, Benjamin B, et al.
Published: (2023)

Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)

Catch me if you can: Signal localization with knockoff e-values
by: Gablenz, Paula, et al.
Published: (2023)

Network knockoffs: controlling false discovery in dyadic space
by: Van Ee, Justin, et al.
Published: (2026)

Controlled Variable Selection from Summary Statistics Only? A Solution via GhostKnockoffs and Penalized Regression
by: Chen, Zhaomeng, et al.
Published: (2024)

Bayesian variable selection using an informed reversible jump in imaging genetics: an application to schizophrenia
by: Montcho, Djidenou, et al.
Published: (2023)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)

Functional and variables selection in extreme value models for regional flood frequency analysis
by: Gardini, Aldo
Published: (2023)

Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024)

Sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising
by: Park, Kwangmoon, et al.
Published: (2023)

PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
by: Asenso, Theophilus Quachie, et al.
Published: (2026)

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array
by: Dumon, Marine, et al.
Published: (2025)

Assessing variable importance in survival analysis using machine learning
by: Wolock, Charles J., et al.
Published: (2023)

Addressing errors in multiple variables using generalized raking and cumulative probability models
by: Kawaguchi, Eric S., et al.
Published: (2026)

A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)

Generalized Jeffreys's approximate objective Bayes factor: Model-selection consistency, finite-sample accuracy, and statistical evidence in 71,126 clinical trial findings
by: Velidi, Puneet, et al.
Published: (2025)

Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
by: Chan, Christian, 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)

Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification
by: Hermansen, Tobias Østmo, et al.
Published: (2025)

Evaluating the impact of instrumental variables in propensity score models using synthetic and negative control experiments
by: Tian, Yuxi, et al.
Published: (2024)

Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data
by: Wang, Runqiu, et al.
Published: (2023)

Hierarchical models for small area estimation using zero-inflated forest inventory variables: comparison and implementation
by: White, Grayson W., et al.
Published: (2025)

Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
by: Castel, Charlotte, et al.
Published: (2024)

Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
by: Ameis, Lucia, et al.
Published: (2026)

Re-evaluating the impact of hormone replacement therapy on heart disease using match-adaptive randomization inference
by: Pimentel, Samuel D., et al.
Published: (2024)

Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior
by: Yang, Yunqi, et al.
Published: (2025)

Data-driven controlled subgroup selection in clinical trials
by: Müller, Manuel M., et al.
Published: (2025)

Prior selection for the precision parameter of Dirichlet Process Mixtures
by: Vicentini, Carlo, et al.
Published: (2025)

Subdata selection for big data regression: an improved approach
by: Chasiotis, Vasilis, et al.
Published: (2023)

A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)

Bayesian Mapping of Mortality Clusters
by: Sottosanti, Andrea, et al.
Published: (2024)

Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024)

Empirical Bayes learning from selectively reported confidence intervals
by: Chen, Hunter, et al.
Published: (2025)

Automated threshold selection and associated inference uncertainty for univariate extremes
by: Murphy, Conor, et al.
Published: (2023)

Multidimensional Poverty Mapping for Small Areas
by: Das, Soumojit, et al.
Published: (2025)

Mapping poverty at multiple geographical scales
by: De Nicolò, Silvia, et al.
Published: (2023)

Design-based nested instrumental variable analysis
by: Chen, Zhe, et al.
Published: (2025)

Functional structural equation modeling with latent variables
by: Asgari, Fatemeh, et al.
Published: (2024)

False Discovery Rate Control via Data Splitting for Testing-after-Clustering
by: Wang, Lijun, et al.
Published: (2024)

Prior Smoothing for Multivariate Disease Mapping Models
by: Retegui, Garazi, et al.
Published: (2026)