数据链接:
官方服务:
资源简介:
Metastatic infection–univariate logistic regression.
应用场景:
创建时间:
2023-06-23
相关数据集
Predictors of poor contrast sensitivity among HIV-infected participants on ART (N = 190) using logistic regression analysis.
*adjusted for all variables in table, and mean arterial blood pressure and BMI, age group used as a linear term in model.
NIAID Data Ecosystem50
DataSheet_1_Preoperative Prediction of Metastasis for Ovarian Cancer Based on Computed Tomography Radiomics Features and Clinical Factors.docx
BackgroundThere is urgent need for an accurate preoperative prediction of metastatic status to optimize treatment for patients with ovarian cancer (OC). The feasibility of predicting the metastatic st
NIAID Data Ecosystem20
Table_3_Brain metastases: It takes two factors for a primary cancer to metastasize to brain.xlsx
Brain metastasis of a cancer is a malignant disease with high mortality, but the cause and the molecular mechanism remain largely unknown. Using the samples of primary tumors of 22 cancer types in the
NIAID Data Ecosystem20
Bivariate and multivariate logistic regression analysis for predictors of renal impairment among HAART naive HIV positive individuals participated in the study, south west Ethiopia, 2014.
Bivariate and multivariate logistic regression analysis for predictors of renal impairment among HAART naive HIV positive individuals participated in the study, south west Ethiopia, 2014.
NIAID Data Ecosystem20
Specific genomic aberrations in squamous cell lung carcinoma with lymph node or distant metastasis
The majority of patients with squamous cell lung cancer (SCC) die because of metastatic disease. The genomic mechanisms underlying this metastatic behaviour are underexposed. We analyzed a cohort of p
NIAID Data Ecosystem20



