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Multiple logistic regression analysis for risk of hyperuricemia.

NIAID Data Ecosystem2026-03-10 收录

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https://figshare.com/articles/dataset/Multiple_logistic_regression_analysis_for_risk_of_hyperuricemia_/6732293 数据链接链接失效反馈

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资源简介：

Multiple logistic regression analysis for risk of hyperuricemia.

应用场景：

创建时间：

2018-07-02

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Univariate logistic regression analysis of risk of developing advanced lesions at surveillance, according to molecular and clinical characteristics of patients at the baseline colonoscopy.

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The adjusted ORs for the risk of GDM.

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aORs were adjusted for all variables in the table. The adjusted ORs for the risk of GDM.

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Uncertainties in individual parameter estimates for fits in Fig 2.

不确定性量化

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Means of parameter values (M) and their standard errors (SEM) for the parameters estimated from fits to individual patient data in Fig 2. 50 realizations of the model were used for these estimates of

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General linear model examining the influence of clinical indices for predicting achievement of CR/VGPR.

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Multiple regression models for BMI, waist circumference and blood pressure in male and female subjects.

慢性病风险因素分析

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The variables BMI, waist, systolic and diastolic blood pressure are all logged. Variable coding: Smoking, smoke exposure and employment–yes = 1, no = 0; TB and HIV–positive = 1, negative = 0; educatio

Figshare2015-12-03 更新10

Multiple logistic regression analysis for risk of hyperuricemia.

资源简介：

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