Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Debiased lasso for generalized linear models with a diverging number of covariates.

Biometrics - 1 Mar 2023

Xia Lu, Nan Bin, Li Yi

Abstract excerpt

Modeling and drawing inference on the joint associations between single-nucleotide polymorphisms and a disease has sparked interest in genome-wide associations studies. In the motivating Boston Lung Cancer Survival Cohort (BLCSC) data, the presence of a large number of single nucleotide polymorphisms of interest, though smaller than the sample size, challenges inference on their joint associations with the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bias
Share to Linear Models
Share to Lung Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 34693983
DOI: 10.1111/biom.13587
PMCID: PMC9035473

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Debiased lasso for generalized linear models with a diverging number of covariates.PMID 34693983Read ↗

Logistic Bayesian LASSO for genetic association analysis of data from complex sampling designs.Semantic proximity Read ↗

Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies.Semantic proximity Read ↗

Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity.Semantic proximity Read ↗

Variable Selection in Heterogeneous Datasets: A Truncated-rank Sparse Linear Mixed Model with Applications to Genome-wide Association StudiesSemantic proximity Read ↗

A fast algorithm for Bayesian multi-locus model in genome-wide association studies.Semantic proximity Read ↗

Identifying Effect Modification of Latent Population Characteristics on Risk Factors with a Sparse Varying Coefficient RegressionSemantic proximity Read ↗

Resampling-based tests for Lasso in genome-wide association studies.Semantic proximity Read ↗

Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data.Semantic proximity Read ↗

Controlling the local false discovery rate in the adaptive Lasso.Semantic proximity Read ↗

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.Semantic proximity Read ↗

A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD)Semantic proximity Read ↗

Detecting rare haplotypes associated with complex diseases using both population and family data: Combined logistic Bayesian Lasso.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.