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

Comparison of statistics in association tests of genetic markers for survival outcomes.

Statistics in medicine - 28 Feb 2014

Mendolia Franco, Klein John P, Petersdorf Effie W, Malkki Mari, Wang Tao

Abstract excerpt

Computationally efficient statistical tests are needed in association testing of large scale genetic markers for survival outcomes. In this study, we explore several test statistics based on the Cox proportional hazards model for survival data. First, we consider the classical partial likelihood-based Wald and score tests. A revised way to compute the score statistics is explored to improve the computational...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Genetic Association Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Markers

Share to Monte Carlo Method

Share to Polymorphism, Single Nucleotide

Share to Proportional Hazards Models

Source

Open in PubMed Open full text

Identifiers

PMID: 24105914
DOI: 10.1002/sim.5982
PMCID: PMC3985281

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

Comparison of statistics in association tests of genetic markers for survival outcomes.PMID 24105914Read ↗

Kernel machine SNP-set analysis for censored survival outcomes in genome-wide association studies.Semantic proximity Read ↗

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

Power and sample size calculations for SNP association studies with censored time-to-event outcomes.Semantic proximity Read ↗

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

Unified Methods for Feature Selection in Large-Scale Genomic Studies with Censored Survival OutcomesSemantic proximity Read ↗

Gene-gene interaction analysis for the survival phenotype based on the Cox model.Semantic proximity Read ↗

Quantifying the contribution of genetic variants for survival phenotypes.Semantic proximity Read ↗

Gene-based analysis of bi-variate survival traits via functional regressions with applications to eye diseases.Semantic proximity Read ↗

SurvivalGWAS_Power: a user friendly tool for power calculations in pharmacogenetic studies with "time to event" outcomes.Semantic proximity Read ↗

Score tests of genetic association in the presence of linkage based on the additive genetic gamma frailty model.Semantic proximity Read ↗

SNP Set Association Testing for Survival Outcomes in the Presence of Intrafamilial Correlation.Semantic proximity Read ↗

Goodness-of-fit two-phase sampling designs for time-to-event outcomes: a simulation study based on New York University Women’s Health Study for breast cancerSemantic proximity Read ↗

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