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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https://figshare.com/articles/dataset/_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_/1027825
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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.
创建时间:
2014-05-15



