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Conditional logistic regression analysis: Predicted morbidity and mortality by the CD4+ and CD8+ T cell counts and the CD4/CD8 ratio in the Madrid cohort and SOCA cohort mortality nested studies.

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NIAID Data Ecosystem2026-03-08 收录
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*N = 47. Because of colinearity, we fitted one model to calculate the coefficients of CD4+ and CD8+ T cells, and a different model for the CD4/CD8 ratio. Variables CD4+ and CD8+ T cells, and the CD4/CD8 ratio were log transformed. Coefficients are adjusted by age, gender, nadir CD4+ T cell count and duration of viral suppression. To interpret the logarithmically transformed coefficients, we applied the following formula: Beta*log(1.10), resulting in the % of change in the odds of the outcome predicted by each 10% increase in the independent variable.

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2014-05-15
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