Case-Deletion Diagnostics for Maximum Likelihood Multipoint Quantitative Trait Locus Linkage Analysis | Zendy

Maria C.B. Mendoza | Zendy; Trudy L. Burns | Zendy; Michael Jones | Zendy

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Case-Deletion Diagnostics for Maximum Likelihood Multipoint Quantitative Trait Locus Linkage Analysis

Author(s) -

Maria C.B. Mendoza,

Trudy L. Burns,

Michael Jones

Publication year - 2009

Publication title -

human heredity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.423

H-Index - 62

eISSN - 1423-0062

pISSN - 0001-5652

DOI - 10.1159/000194980

Subject(s) - outlier , quantitative trait locus , linkage (software) , locus (genetics) , genetic linkage , trait , statistics , likelihood function , computation , sensitivity (control systems) , mathematics , computer science , computational biology , biology , genetics , estimation theory , algorithm , gene , engineering , electronic engineering , programming language

Case-deletion diagnostic methods are tools that allow identification of influential observations that may affect parameter estimates and model fitting conclusions. The goal of this paper was to develop two case-deletion diagnostics, the exact case deletion (ECD) and the empirical influence function (EIF), for detecting outliers that can affect results of sib-pair maximum likelihood quantitative trait locus (QTL) linkage analysis.

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