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Impact of fitting age in general linear models testing the strength of association between genotype and reactor status for the SICCT test of exposure to bovine tuberculosis.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Impact_of_fitting_age_in_general_linear_models_testing_the_strength_of_association_between_genotype_and_reactor_status_for_the_SICCT_test_of_exposure_to_bovine_tuberculosis_/454306
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Each model is fitted with response variable reactor status (0 = positive test, 1 = negative test) and group (either breed, ‘B’, or STRUCTURE group, ‘S’, fitted as a factor) and genotype (‘G’, fitted as a factor) either with or without age at slaughter (‘A’, fitted as a covariate. Models either included (*) or did not include (+) all possible second order interactions between terms. Significance was assessed by repeatedly resampling genotype within breed/group without replacement and refitting the model. As in Table 2, significant P-values (P
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2015-12-02
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