Results 61 to 70 of about 2,169,451 (280)

On Confidence Intervals

open access: yesProceedings of the National Academy of Sciences, 1942
Not ...
openaire   +3 more sources

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

open access: yesMolecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley   +5 more
wiley   +1 more source

p value and confidence intervals

open access: yesCurrent Medicine Research and Practice, 2012
In any research after obtaining the results, the researcher wants to know whether the results obtained are statistically significant or not. The statistical significance is usually expressed as p value or confidence intervals.
Vivek Choudhury   +2 more
doaj  

Democratic Confidence Intervals for comparing two Proportions [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2013
We offer methods to create an accurate graph for comparing confidence intervals for two proportions. The firstmethod involves using weighted sum contrasts when fitting logistic regression with a binary explanatory variable.
Phattrawan Tongkumchum   +3 more
doaj  

A High‐Sensitivity Circulating Nucleic Acid Sequencing Assay for Assessing Treatment Response to Alectinib in a Pediatric Patient With ALK‐Rearranged Non–Small Cell Lung Cancer

open access: yes
Pediatric Blood &Cancer, EarlyView.
Alberto D. Guerra   +9 more
wiley   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns   +10 more
wiley   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova   +25 more
wiley   +1 more source

Simple and Honest Confidence Intervals in Nonparametric Regression

open access: yes, 2018
We consider the problem of constructing honest confidence intervals (CIs) for a scalar parameter of interest, such as the regression discontinuity parameter, in nonparametric regression based on kernel or local polynomial estimators.
Armstrong, Timothy B., Kolesár, Michal
core   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra   +6 more
wiley   +1 more source

The Physical Significance of Confidence Intervals

open access: yes, 2001
We define some appropriate statistical quantities that indicate the physical significance (reliability) of confidence intervals in the framework of both Frequentist and Bayesian statistical theories.
Giunti, C., Laveder, M.
core   +1 more source

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