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

Generalized least squares for assessing trends in cumulative meta-analysis with applications in genetic epidemiology.

Journal of clinical epidemiology - 1 Oct 2009

Bagos Pantelis G, Nikolopoulos Georgios K

Abstract excerpt

OBJECTIVE: Cumulative meta-analysis allows the evaluation of a study's contribution to the combined effect of the preceding research. It accrues evidence, gradually adding studies one at a time and provides updated estimates along with confidence intervals whenever new evidence emerges. In many research areas, a temporal evolution of the effect size (ES) is present, leading to diminishing effects and would be...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Evidence-Based Medicine

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Association Studies

Share to Genetic Predisposition to Disease

Share to Least-Squares Analysis

Share to Meta-Analysis as Topic

Share to Models, Statistical

Share to Molecular Epidemiology

Source

Identifiers

PMID: 19345563
DOI: 10.1016/j.jclinepi.2008.12.008

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Generalized least squares for assessing trends in cumulative meta-analysis with applications in genetic epidemiology.PMID 19345563Read ↗

GWAR: robust analysis and meta-analysis of genome-wide association studies.Semantic proximity Read ↗

Recurrent Events Analysis with Piece-wise exponential Additive Mixed ModelsSemantic proximity Read ↗

A robust method for testing association in genome-wide association studies.Semantic proximity Read ↗

Assessment of cumulative evidence on genetic associations: interim guidelines.Semantic proximity Read ↗

Pearson's test, trend test, and MAX are all trend tests with different types of scores.Semantic proximity Read ↗

Examining the stability of genetic risk effect as evidence accumulates in the context of meta-analysis.Semantic proximity Read ↗

On estimation of the variance in Cochran-Armitage trend tests for genetic association using case-control studies.Semantic proximity Read ↗

Assessing systematic measurement changes in single-wave study data: a simulation studySemantic proximity Read ↗

A generalized sequential Bonferroni procedure using smoothed weights for genome-wide association studies incorporating information on Hardy-Weinberg disequilibrium among cases.Semantic proximity Read ↗

A Robust Test for Additive Gene-Environment Interaction Under the Trend Effect of Genotype Using an Empirical Bayes-Type Shrinkage Estimator.Semantic proximity Read ↗

Cochran-Armitage test versus logistic regression in the analysis of genetic association studies.Semantic proximity Read ↗

Bridging Classical Statistics and Modern Data Analysis: A Comprehensive Survey of Generalized Linear ModelsSemantic proximity Read ↗

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