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

Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.

Biometrics - 27 Mar 2024

Baio Gianluca

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

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

Share to Genetic Predisposition to Disease
Share to Meta-Analysis as Topic
Share to Neoplasms
Share to Penetrance

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Risk Assessment

Source

Identifiers

PMID: 38819312
DOI: 10.1093/biomtc/ujae041

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 8 closest

Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.PMID 38819312Read ↗

Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.Semantic proximity Read ↗

Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.Semantic proximity Read ↗

Rejoinder to the discussion on "Bayesian meta-analysis of penetrance for cancer risk".Semantic proximity Read ↗

Bayesian meta-analysis of penetrance for cancer risk.Semantic proximity Read ↗

[Choice of genetic model on Meta-analysis of genetic association studies: introduction of genetic model-free approach for Bayesian analysis].Semantic proximity Read ↗

Combining previously published studies with current data in Bayesian logistic regression model: an example for identifying susceptibility genes related to lung cancer in humans.Semantic proximity Read ↗

Adjusting for Ascertainment Bias in Meta-Analysis of Penetrance for Cancer Risk.Semantic proximity Read ↗

Harvard report on cancer prevention. Causes of human cancer. Genetic susceptibility.Semantic proximity Read ↗

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