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

A computer program to estimate power and relative efficiency to assess multiplicative interactions in flexibly matched case-control studies.

Computer methods and programs in biomedicine - 1 Jun 2004

Stürmer T, Gefeller O, Brenner H

Abstract excerpt

Matching on one of two possibly interacting exposures can increase power and efficiency to estimate multiplicative interactions in case-control studies. We recently introduced the concept of flexible matching strategies with varying proportions of a dichotomous matching factor among controls to further increase power and efficiency. In order to facilitate the application of this concept, we developed a computer...

Read the complete abstract on PubMed

Topics

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

Share to Case-Control Studies
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Software

Source

Identifiers

PMID: 15135577
DOI: 10.1016/j.cmpb.2003.08.003

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

A computer program to estimate power and relative efficiency to assess multiplicative interactions in flexibly matched case-control studies.PMID 15135577Read ↗

Flexible matching strategies to increase power and efficiency to detect and estimate gene-environment interactions in case-control studies.Semantic proximity Read ↗

Flexible matching in case-control studies of gene-environment interactions.Semantic proximity Read ↗

Potential gain in efficiency and power to detect gene-environment interactions by matching in case-control studies.Semantic proximity Read ↗

Potential gain in precision and power by matching on strong risk factors in case-control studies: the example of laryngeal cancer.Semantic proximity Read ↗

The case-combined-control design was efficient in detecting gene-environment interactions.Semantic proximity Read ↗

Case-control association studies with matching and genomic controlling.Semantic proximity Read ↗

Misclassification in case-control studies of gene-environment interactions: assessment of bias and sample size.Semantic proximity Read ↗

Accounting for error due to misclassification of exposures in case-control studies of gene-environment interaction.Semantic proximity Read ↗

Statistical methods for haplotype-based matched case-control association studies.Semantic proximity Read ↗

Is the matched extreme case-control design more powerful than the nested case-control design?Semantic proximity Read ↗

Using Propensity Score Matching to Balance the Baseline CharacteristicsSemantic proximity Read ↗

Probabilistic record linkageSemantic proximity Read ↗

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