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Multivariable logistic regression analysis of possible predictors of severe or critical COVID-19 disease among hospitalized patients with a pre-infection measurement of 25(OH)D level.

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NIAID Data Ecosystem2026-03-13 收录
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https://figshare.com/articles/dataset/Multivariable_logistic_regression_analysis_of_possible_predictors_of_severe_or_critical_COVID-19_disease_among_hospitalized_patients_with_a_pre-infection_measurement_of_25_OH_D_level_/19118862
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The multivariable analyses before and after cosinor correction models for the annual mean as well as each patient’s date of hospitalization are shown. This is the final step in the logistic regression (backward elimination).
创建时间:
2022-02-03
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