Results 111 to 120 of about 3,328,774 (379)
Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry
Molecular Oncology, EarlyView.Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson +11 more
wiley +1 more source
Differentially Private Confidence Intervals for Empirical Risk Minimization
The Journal of Privacy and Confidentiality, 2019 The process of data mining with differential privacy produces results that are affected by two types of noise: sampling noise due to data collection and privacy noise that is designed to prevent the reconstruction of sensitive information. In this paper,
Yue Wang, Daniel Kifer, Jaewoo Lee
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Bootstrap confidence intervals
, 1996 This article surveys bootstrap methods for producing good approximate confidence intervals. The goal is to improve by an order of magnitude upon the accuracy of the standard intervals 0 ?
T. DiCiccio, B. Efron
semanticscholar +1 more source
FEBS Open Bio, EarlyView.This study reports the upregulation of ELMO1 and GPR141 in human Fuchs' endothelial corneal dystrophy (FECD) corneal endothelium and ultraviolet A‐induced FECD mice model. A genetic association of an intergenic single nucleotide polymorphism rs918980 present between both genes is observed with FECD in the Indian population.
Susmita Sharma +3 more
wiley +1 more source
Further properties of frequentist confidence intervals in regression that utilize uncertain prior information [PDF]
Further properties of frequentist confidence intervals in
regression that utilize uncertain prior information. Australian & New Zealand
Journal of Statistics, 55, 259-270 (2013), 2011 Consider a linear regression model with n-dimensional response vector, regression parameter \beta = (\beta_1, ..., \beta_p) and independent and identically N(0, \sigma^2) distributed errors. Suppose that the parameter of interest is \theta = a^T \beta where a is a specified vector.
arxiv
Confidence with confidence intervals [PDF]
British Journal of Anaesthesia, 2005 M.O. Columb, H.E. Thomson
openaire +3 more sources
Confidence Trick: The Interpretation of Confidence Intervals [PDF]
Canadian Journal of Science, Mathematics and Technology Education, 2014 The frequent misinterpretation of the nature of confidence intervals by students has been well documented. This article examines the problem as an aspect of the learning of mathematical definitions and considers the tension between parroting mathematically rigorous, but essentially uninternalized, statements on the one hand and expressing imperfect but
openaire +3 more sources
Rank conditional coverage and confidence intervals in high dimensional problems [PDF]
arXiv, 2017 Confidence interval procedures used in low dimensional settings are often inappropriate for high dimensional applications. When a large number of parameters are estimated, marginal confidence intervals associated with the most significant estimates have very low coverage rates: They are too small and centered at biased estimates. The problem of forming
arxiv
Exact Parametric Confidence Intervals for Bland-Altman Limits of Agreement
Optometry and Vision Science, 2015 Purpose The previous literature on Bland-Altman analysis only describes approximate methods for calculating confidence intervals for 95% limits of agreement (LoAs).
Andrew Carkeet
semanticscholar +1 more source
Confidence intervals for means of positively skewed distributions [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2003 The objective of this study is to compare interval estimation methods for population means of positively skewed distributions. The estimation methods are the interval estimation method with student-t statistics, the interval estimation method with ...
Weerawan Sakdajivacharoen +1 more
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