Aims This review was developed to introduce the essential components and variants of
structural equation modeling (SEM), synthesize the common issues in SEM applications …

Background With progress on both the theoretical and the computational fronts the use of
spline modelling has become an established tool in statistical regression analysis. An …

Purpose To develop and validate a radiomics nomogram for preoperative prediction of
lymph node (LN) metastasis in patients with colorectal cancer (CRC). Patients and Methods …

The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the …

Immunotherapy has made great progress in hepatocellular carcinoma (HCC), yet there is
still a lack of biomarkers for predicting response to it. Cancer stem cells (CSCs) are the …

Accurate prediction of peritoneal metastasis for gastric cancer (GC) with serosal invasion is
crucial in clinic. The presence of collagen in the tumour microenvironment affects the …

Background: Radiomics has emerged as a new approach that can help identify imaging
information associated with tumor pathophysiology. We developed and validated a …

The crude mortality rate in critical pneumonia cases with coronavirus disease 2019 (COVID-
19) reaches 49%. This study aimed to test whether levels of blood urea nitrogen (BUN) in …

In this article, the third in the PROGRESS series on prognostic factor research, Sara Schroter
and colleagues review how prognostic models are developed and validated, and then …

Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely
limited treatment options. Immunotherapy has been widely studied in GBM, but none can …