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

Omnibus risk assessment via accelerated failure time kernel machine modeling.

Biometrics - 1 Dec 2013

Sinnott Jennifer A, Cai Tianxi

Abstract excerpt

Integrating genomic information with traditional clinical risk factors to improve the prediction of disease outcomes could profoundly change the practice of medicine. However, the large number of potential markers and possible complexity of the relationship between markers and disease make it dif...

Read the complete abstract on PubMed

Topics

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

Share to Artificial Intelligence
Share to Biometry
Share to Data Interpretation, Statistical

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Proportional Hazards Models

Share to Risk Assessment

Share to Sample Size

Share to Sensitivity and Specificity

Share to Survival Rate

Source

Open in PubMed Open full text

Identifiers

PMID: 24328713
DOI: 10.1111/biom.12098
PMCID: PMC3869038

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-24328713-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Omnibus risk assessment via accelerated failure time kernel machine modeling.PMID 24328713Read ↗

Network regularized Accelerated Failure Time Models for Robust Biomarker IdentificationSemantic proximity Read ↗

A novel kernel for correcting size bias in the logistic kernel machine test with an application to rheumatoid arthritis.Semantic proximity Read ↗

Variable selection in the accelerated failure time model via the bridge method.Semantic proximity Read ↗

Kernel machine methods for integrative analysis of genome-wide methylation and genotyping studies.Semantic proximity Read ↗

Integrative analysis of prognosis data on multiple cancer subtypes.Semantic proximity Read ↗

Associating Multivariate Quantitative Phenotypes with Genetic Variants in Family Samples with a Novel Kernel Machine Regression Method.Semantic proximity Read ↗

Sequence kernel association test for survival traits.Semantic proximity Read ↗

Transfer learning for accelerated failure time model with microarray dataSemantic proximity Read ↗

Gene-Based Association Analysis for Censored Traits Via Fixed Effect Functional Regressions.Semantic proximity Read ↗

A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction.Semantic proximity Read ↗

Integrative analysis of cancer prognosis data with multiple subtypes using regularized gradient descent.Semantic proximity Read ↗

Rare-Variant Kernel Machine Test for Longitudinal Data from Population and Family Samples.Semantic proximity Read ↗

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