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Linear regression models were used to find Pearson correlation coefficients and part correlations, with adjustments for age as a covariate, between magnetic-resonance imaging outcomes of central adiposity and biomarkers of cardiometabolic disease.

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https://figshare.com/articles/dataset/Linear_regression_models_were_used_to_find_Pearson_correlation_coefficients_and_part_correlations_with_adjustments_for_age_as_a_covariate_between_magnetic-resonance_imaging_outcomes_of_central_adiposity_and_biomarkers_of_cardiometabolic_disease_/7036577
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Linear regression models were used to find Pearson correlation coefficients and part correlations, with adjustments for age as a covariate, between magnetic-resonance imaging outcomes of central adiposity and biomarkers of cardiometabolic disease.
创建时间:
2018-08-31
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