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EFFICIENT COMPUTATION WITH A LINEAR MIXED MODEL ON LARGE-SCALE DATA SETS WITH APPLICATIONS TO GENETIC STUDIES

Abstract:

Motivated by genome-wide association studies, we consider a standard linear model with one additional random effect in situations where many predictors have been collected on the same subjects and each predictor is analyzed separately. Three novel contributions are (1) a transformation between the linear and log-odds scales which is accurate for the important genetic case of small effect sizes; (2) a likelihood-maximization algorithm that is an order of magnitude faster than the previously pu...

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Publication status:
Published

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Publisher copy:
10.1214/12-AOAS586
Journal:
ANNALS OF APPLIED STATISTICS More from this journal
Volume:
7
Issue:
1
Pages:
369-390
Publication date:
2013-03-01
DOI:
EISSN:
1941-7330
ISSN:
1932-6157
Language:
English
Keywords:
Pubs id:
pubs:396060
UUID:
uuid:f83e5551-9fc8-439d-b6c1-55363cca04e6
Local pid:
pubs:396060
Source identifiers:
396060
Deposit date:
2013-11-16

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