Results 141 to 150 of about 4,195,887 (419)

Clinical applications of next‐generation sequencing‐based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression

open access: yesMolecular Oncology, EarlyView.
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker   +14 more
wiley   +1 more source

Semi-Confirmatory Factor Analysis for High-Dimensional Data with Interconnected Community Structures [PDF]

open access: yesarXiv
Confirmatory factor analysis (CFA) is a statistical method for identifying and confirming the presence of latent factors among observed variables through the analysis of their covariance structure. Compared to alternative factor models, CFA offers interpretable common factors with enhanced specificity and a more adaptable approach to covariance ...
arxiv  

Confirmatory Factor Analysis using Confa [PDF]

open access: yesThe Stata Journal: Promoting communications on statistics and Stata, 2009
This article describes the confa command, which fits confirmatory factor analysis models by maximum likelihood and provides diagnostics for the fitted models. Descriptions of the command and its options are given, and some illustrative examples are provided.
openaire   +2 more sources

Circulating tumor cells in metastatic breast cancer patients treated with immune checkpoint inhibitors – a biomarker analysis of the ALICE and ICON trials

open access: yesMolecular Oncology, EarlyView.
In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen   +13 more
wiley   +1 more source

Confirmatory Factor Analysis and Reliability of the Diabetes Treatment Satisfaction Questionnaire (DTSQ) for Arabic Speaking Patients with Type II Diabetes

open access: yesJournal of Multidisciplinary Healthcare, 2020
Diana Arabiat,1,2 Lisa Whitehead,1,3 Buthina Abu Sheikh,4 Ebenezer Afrifa-Yamoah5 1Edith Cowan University, School of Nursing and Midwifery, Joondalup, Perth, WA 6027, Australia; 2Maternal and Child Nursing Department, The University of Jordan, Amman ...
Arabiat Snr D   +3 more
doaj  

Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients

open access: yesMolecular Oncology, EarlyView.
Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha   +6 more
wiley   +1 more source

The Dimension of Food Souvenir: An Exploratory-Confirmatory Factor Analysis

open access: yesMATEC Web of Conferences, 2018
Food souvenirs as the tangible reminder that encounters the travelling experience are considered as an essential element in the tourism industry. However, the studies exploring the dimension of food souvenirs, are limited, and most of them applying ...
Sosianika Adila   +3 more
doaj   +1 more source

The cave of Shadows. Addressing the human factor with generalized additive mixed models [PDF]

open access: yesarXiv, 2015
Generalized additive mixed models are introduced as an extension of the generalized linear mixed model which makes it possible to deal with temporal autocorrelational structure in experimental data. This autocorrelational structure is likely to be a consequence of learning, fatigue, or the ebb and flow of attention within an experiment (the `human ...
arxiv  

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