BayesMendel: an R Environment for Mendelian Risk Prediction

DOI10.2202/1544-6115.1063zbMath1077.92029OpenAlexW2127022187WikidataQ33241509 ScholiaQ33241509MaRDI QIDQ5700461

Wen-Yi Wang, Sining Chen, Karl W Broman, Hormuzd A. Katki, Giovanni Parmigiani

Publication date: 28 October 2005

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1039&context=jhubiostat

Mathematics Subject Classification ID

Medical applications (general) (92C50) Genetics and epigenetics (92D10) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items (7)

Prediction of hereditary cancers using neural networks ⋮ SNIP: an adaptation of sorted neighborhood methods for deduplicating pedigree data ⋮ Frailty Models for Familial Risk With Application to Breast Cancer ⋮ Extending models via gradient boosting: an application to Mendelian models ⋮ Nonparametric Adjustment for Measurement Error in Time-to-Event Data: Application to Risk Prediction Models ⋮ BayesMendel ⋮ Effect of Misreported Family History on Mendelian Mutation Prediction Models

Uses Software

• R
• survival

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