Multivariate logistic model of malignancy (n-174).

NIAID Data Ecosystem2026-03-11 收录

恶性肿瘤预测

癌症风险评估

数据链接：

https://figshare.com/articles/dataset/Multivariate_logistic_model_of_malignancy_n-174_/8237213 数据链接链接失效反馈

官方服务：

资源简介：

Multivariate logistic model of malignancy (n-174).

创建时间：

2019-06-06

Dose-response for assessing the cancer risk of inorganic arsenic in drinking water: the scientific basis for use of a threshold approach

毒理学

癌症风险评估

The biologic effects of inorganic arsenic predominantly involve reaction of the trivalent forms with sulfhydryl groups in critical proteins in target cells, potentially leading to various toxicologic

DataCite Commons2020-08-27 更新70

IMI MARCAR Project: towards novel biomarkers for cancer risk assessment. IMI MARCAR Project: towards novel biomarkers for cancer risk assessment

癌症风险评估

生物标志物发现

This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series

NIAID Data Ecosystem40

Main characteristics of previous studies examined the association of GI, GL, and lung cancer risk.

营养流行病学

癌症风险评估

Main characteristics of previous studies examined the association of GI, GL, and lung cancer risk.

Figshare2022-09-01 更新20

Additional file 2 of Population-based BRCA germline mutation screening in the Han Chinese identifies individuals at risk of BRCA mutation-related cancer: experience from a clinical diagnostic center from greater Shanghai area

基因突变筛查

癌症风险评估

Supplementary Material 2

DataCite Commons2024-08-18 更新50

Incidence and adjusted hazard ratio of esophageal cancer between different entities of pesticide/detergent intoxication.

病毒流行病学

癌症风险评估

Incidence and adjusted hazard ratio of esophageal cancer between different entities of pesticide/detergent intoxication.

Figshare2020-12-29 更新30

Multivariate logistic model of malignancy (n-174).

资源简介：

相关数据集