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Multiple logistic regression between an individual's body condition status and the number of homozygous majority alleles out of a possible eight.

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NIAID Data Ecosystem2026-03-09 收录
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https://figshare.com/articles/dataset/_Multiple_logistic_regression_between_an_individual_s_body_condition_status_and_the_number_of_homozygous_majority_alleles_out_of_a_possible_eight_/1229285
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Dependent variable: body condition: 0 =  LBC (low body condition), 1 =  HBC (high body condition). χ2-value model  = 51.07, d.f.  = 3, Pmodel  = 4.7*10−11, nLBC = 230, nHBC = 90, nherds 20. Sex (categorical variable) and BTB status (bovine tuberculosis, categorical variable) were not significant when added to the model (P>0.17). Forward and backward selection resulted in the same model. Multiple logistic regression between an individual's body condition status and the number of homozygous majority alleles out of a possible eight.
创建时间:
2014-11-05
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