Buchumschlag

Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wang, Runqiu, Dai, Ran, Dai, Hongying, French, Evan, Zheng, Cheng
Format:	Preprint
Veröffentlicht:	2023
Schlagworte:	Methodology Applications
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Online multi-layer FDR control
von: Wang, Runqiu, et al.
Veröffentlicht: (2025)

FDR controlling procedures with dimension reduction and their application to GWAS with linkage disequilibrium score
von: Jung, Dayeon, et al.
Veröffentlicht: (2025)

Do-search -- a tool for causal inference and study design with multiple data sources
von: Karvanen, Juha, et al.
Veröffentlicht: (2020)

Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection
von: Lacroix, Perrine, et al.
Veröffentlicht: (2023)

Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
von: Miah, Kaya, et al.
Veröffentlicht: (2024)

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

Autoregressive models for panel data causal inference with application to state-level opioid policies
von: Antonelli, Joseph, et al.
Veröffentlicht: (2024)

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

Model-free High Dimensional Mediator Selection with False Discovery Rate Control
von: Wang, Runqiu, et al.
Veröffentlicht: (2025)

Prediction intervals for overdispersed multinomial data with application to historical controls
von: Budig, Sören, et al.
Veröffentlicht: (2026)

Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
von: Pakrashi, Anis, et al.
Veröffentlicht: (2024)

A regularized multi-state model for covariate selection with interval-censored survival data
von: Bercu, Ariane, et al.
Veröffentlicht: (2025)

Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
von: Aiello, Luca, et al.
Veröffentlicht: (2025)

Modi linear failure rate distribution with application to survival time data
von: Benkhelifa, Lazhar
Veröffentlicht: (2025)

A concordance coefficient for lattice data: An application to poverty indices in Chile
von: Vallejos, Ronny, et al.
Veröffentlicht: (2025)

Spatiotemporal factor models for functional data with application to population map forecast
von: Wakayama, Tomoya, et al.
Veröffentlicht: (2023)

The general linear hypothesis testing problem for multivariate functional data with applications
von: Zhu, Tianming
Veröffentlicht: (2023)

Improved order selection method for hidden Markov models: a case study with movement data
von: Dupont, Fanny, et al.
Veröffentlicht: (2024)

Model-based bi-clustering using multivariate Poisson-lognormal with general block-diagonal covariance matrix and its applications
von: Kral, Caitlin, et al.
Veröffentlicht: (2025)

Efficient estimation of cumulative incidence curves via data fusion with surrogates: application to integrated analysis of vaccine trial and immunobridging data
von: Zhao, Pan, et al.
Veröffentlicht: (2026)

Nullstrap-DE: A General Framework for Calibrating FDR and Preserving Power in DE Methods, with Applications to DESeq2 and edgeR
von: Jiang, Chenxin, et al.
Veröffentlicht: (2025)

Quantile regression for longitudinal functional data with application to feed intake of lactating sows
von: Battagliola, Maria Laura, et al.
Veröffentlicht: (2023)

Modelling multi-scale state-switching functional data with hidden Markov models
von: Sidrow, Evan, et al.
Veröffentlicht: (2021)

A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data
von: Liu, Yusha, et al.
Veröffentlicht: (2022)

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

Group integrative dynamic factor models with application to multiple subject brain connectivity
von: Kim, Younghoon, et al.
Veröffentlicht: (2023)

Inferring a population composition from survey data with nonignorable nonresponse: Borrowing information from external sources
von: Ballerini, Veronica, et al.
Veröffentlicht: (2022)

Modelling intransitivity in pairwise comparisons with application to baseball data
von: Spearing, Jess, et al.
Veröffentlicht: (2021)

On the application of Gaussian graphical models to paired data problems
von: Ranciati, Saverio, et al.
Veröffentlicht: (2023)

Integrating complex selection rules into the latent overlapping group Lasso for constructing coherent prediction models
von: Wang, Guanbo, et al.
Veröffentlicht: (2022)

Flexible model for varying levels of zeros and outliers in count data
von: Ahmad, Touqeer, et al.
Veröffentlicht: (2025)

A time warping model for seasonal data with application to age estimation from narwhal tusks
von: Reiter, Lars Nørtoft, et al.
Veröffentlicht: (2024)

Parameter estimation of the four-parameter Harris extended Weibull distribution with applications to real-life data
von: Chaturvedi, Prithul, et al.
Veröffentlicht: (2025)

A brief introduction on latent variable based ordinal regression models with an application to survey data
von: Wieditz, Johannes, et al.
Veröffentlicht: (2023)

A finite-infinite shared atoms nested model for the Bayesian analysis of large grouped data
von: D'Angelo, Laura, et al.
Veröffentlicht: (2024)

Partial frontiers are not quantiles
von: Dai, Sheng, et al.
Veröffentlicht: (2022)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
von: Ng, Edwin, et al.
Veröffentlicht: (2021)

Non-crossing convex quantile regression
von: Dai, Sheng, et al.
Veröffentlicht: (2022)

Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams
von: Morsomme, Raphael, et al.
Veröffentlicht: (2025)

Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors
von: Hardcastle, Luke, et al.
Veröffentlicht: (2024)