Results 91 to 100 of about 17,370,281 (337)
Molecular Oncology, EarlyView.Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
A MATLAB Package for Markov Chain Monte Carlo with a Multi-Unidimensional IRT Model [PDF]
Unidimensional item response theory (IRT) models are useful when each item is designed to measure some facet of a unified latent trait. In practical applications, items are not necessarily measuring the same underlying trait, and hence the more general ...
Yanyan Sheng
core
Molecular Oncology, EarlyView.LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
Origins of the item parameters X50 and β as a modern item analysis technique [PDF]
, 1966 BAKER, FRANK B. "Origins of the item parameters X50 and β as a modern item analysis technique", Journal of Educational Measurement, 2, n.º 2, december 1965, 167 ...
Bessa, Nícia Maria
core +1 more source
Psychometric properties of Generalized Anxiety Disorder-7 during COVID-19: item response theory analysis [PDF]
Psico-USFThis study evaluated the psychometric properties of the Generalized Anxiety Disorder Scale 7-item in a Brazilian sample during the COVID-19 pandemic using item response theory.
Beatriz Oliveira-Santos +3 more
doaj +2 more sources
Molecular Oncology, EarlyView.Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou +4 more
wiley +1 more source
Molecular Oncology, EarlyView.This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
MathematicsPredicting parameter estimates under item response theory (IRT) from expert-coded item features offers a scalable alternative to resource-intensive field testing.
Juyoung Jung +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani +9 more
wiley +1 more source
Markov Chain Monte Carlo Estimation of Normal Ogive IRT Models in MATLAB [PDF]
Modeling the interaction between persons and items at the item level for binary response data, item response theory (IRT) models have been found useful in a wide variety of applications in various fields. This paper provides the requisite information and
Yanyan Sheng
core