Multivariate analysis for all lung cancer patients.

NIAID Data Ecosystem2026-03-10 收录

肺癌预后分析

多变量统计

数据链接：

https://figshare.com/articles/dataset/Multivariate_analysis_for_all_lung_cancer_patients_/5268913 数据链接链接失效反馈

官方服务：

资源简介：

Multivariate analysis for all lung cancer patients.

创建时间：

2017-08-03

Tumor Cell Expression of Vascular Endothelial Growth Factor Receptor 2 Is an Adverse Prognostic Factor in Patients with Squamous Cell Carcinoma of the Lung

癌症生物标志物

肺癌预后分析

A robust immunohistochemical (IHC) assay for VEGFR2 was developed to investigate its utility for patient tailoring in clinical trials. The sensitivity, specificity, and selectivity of the IHC assay we

NIAID Data Ecosystem50

Multivariable Cox regression analysis of clinicopathological variables and cumulative survival of patients with NSCLC.

肺癌预后分析

生存建模

Multivariable Cox regression analysis of clinicopathological variables and cumulative survival of patients with NSCLC.

NIAID Data Ecosystem20

Canonical correlation analyses summary table for the three constructed indices: component loadings and weights per item, Crohnbach’s alpha per subscale and canonical correlation per index.

典型相关分析

多变量统计

Analyses were performed with SPSS OVERALS module. OVERALS calculates a.o. component loadings, weights and eigenvalues.a bComponent loadings in OVERALS are similar to factor loadings in a factor analys

Figshare2015-12-02 更新10

Nucleotide composition PCA output & pairwise MANOVA results.

核苷酸组成

多变量统计

(XLSX)

NIAID Data Ecosystem30

Code and data for "Relative density clouds: Visualizing and exploring multivariate patterns of group differences"

多变量统计

组间差异分析

R code and data for: Del Giudice, M. (2023). Relative density clouds: Visualizing and exploring multivariate patterns of group differences. PLoS ONE.

Figshare2023-05-30 更新20