Summary of UCP results.

Figshare2015-12-02 更新2026-04-29 收录

代谢物治疗评估

生物标志物统计分析

数据链接：

https://figshare.com/articles/dataset/_Summary_of_UCP_results_/423902 数据链接链接失效反馈

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Statistically significant effects of treatment on UCP levels and significant correlations are highlighted in bold. For details see text.

创建时间：

2015-12-02

Multivariable logistic regression analysis to evaluate the association of OLFM4 with LNM (pN+) in all patients (left) with corresponding interaction model (right) * .

淋巴结恶性预测

生物标志物统计分析

Multivariable logistic regression analysis to evaluate the association of OLFM4 with LNM (pN+) in all patients (left) with corresponding interaction model (right)*.

NIAID Data Ecosystem110

Participants' characteristics.

人群健康特征

生物标志物统计分析

Data are expressed as means (SD), inter-quartile ranges or frequencies (%).NA, non-available.The NHANES data analyses were performed using special sampling weights.To convert serum cholesterol levels

Figshare2015-12-02 更新40

T-test, geometric mean of maximum serum microcystin LR equivalent concentrations by subject characteristic.

环境化学物暴露评估

生物标志物统计分析

T-test, geometric mean of maximum serum microcystin LR equivalent concentrations by subject characteristic.

NIAID Data Ecosystem30

Demographics and biomarkers [mean and standard deviation (SD)] at baseline for the 2371 subjects used in the multiple regression model.

基线特征分析

生物标志物统计分析

Demographics and biomarkers [mean and standard deviation (SD)] at baseline for the 2371 subjects used in the multiple regression model.

Figshare2022-09-06 更新70

Beta coefficients with 95% confidence intervals from linear regression models for bone turnover markers with sex, age, BMI and smoking status as variables forced into the model, and with serum calcium, creatinine, PTH, 25(OH)D and HOMA as potential significant covariates in the 406 subjects.