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

NIAID Data Ecosystem30

Stepwise expansion of the multivariate logistic regression model (lactate/albumin ratio as a dichotomous variable or continuous variable).

医学统计建模

临床预测模型

Stepwise expansion of the multivariate logistic regression model (lactate/albumin ratio as a dichotomous variable or continuous variable).

Figshare2025-08-01 更新00

Odds ratios and adjusted odds ratios for insulin resistance in quartiles of each parameter.

胰岛素抵抗风险分析

医学统计建模

Odds ratios and adjusted odds ratios for insulin resistance in quartiles of each parameter.

NIAID Data Ecosystem30

Table 1_Developing machine learning models for predicting cardiovascular disease survival based on heavy metal serum and urine levels.xlsx

心血管疾病预测

重金属生态风险评估

BackgroundEnvironmental exposure to heavy metals, such as arsenic, cadmium, and lead, is a known risk factor for cardiovascular diseases. ObjectiveWe aim to examine the associations between heavy meta

NIAID Data Ecosystem10

Multivariate logistic regression analysis to predict the development of CAD.

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