Results 81 to 90 of about 3,348,916 (301)
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
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Molecular Oncology, EarlyView.We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
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Nonparametric Confidence Interval for Quantiles [PDF]
, 2018 Quantiles, which are also known as values-at-risk in finance, frequently arise in practice as measures of risk. Confidence interval for quantiles are typically constructed via large sample theory or the sectioning.One of the ways for achieving the ...
Bolbolian Ghalibaf, Mohammad +1 more
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Molecular Oncology, EarlyView.The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington +10 more
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Finding confidence interval under exchangeability
, 2010 碩士在一般用參數檢定(parametric tests)估計未知位置參數時,利用雙尾檢定找未知參數的接受域(acceptance region),就可以得到信賴區間(confidence interval),我們將這個概念用在從排列檢定(permutation tests)找信賴區間。對於一般的參數檢定問題,通常只要找到樞紐(pivot)統計量,再利用簡單的代數就能找到信賴區間,但是從排列檢定找信賴區間,狀況卻複雜許多。 於單一樣本的情況下,排列檢定是將觀測值減去原始假設下的參數之後 ...
劉家豪; Liu, Chia-hao
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Comparisons of multivariate GR&R methods using bootstrap confidence interval
Acta Scientiarum: Technology, 2016 This paper aimed to compare the performance of multivariate GR&R (gage repeatability and reproducibility) studies based on PCA (principal component analysis) and Manova (multivariate analysis of variance) methods. To estimate the multivariate gauge index,
Rogério Santana Peruchi +4 more
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Molecular Oncology, EarlyView.Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
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Estimating population means in covariance stationary process [PDF]
In simple random sampling, the basic assumption at the stage of estimating the standard error of the sample mean and constructing the corresponding confidence interval for the population mean is that the observations in the sample must be independent. In
Halkos, George, Kevork, Ilias
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Computationally efficient permutation-based confidence interval estimation for tail-area FDR
Frontiers in Genetics, 2013 Challenges of satisfying parametric assumptions in genomic settings with thousands or millions of tests have led investigators to combine powerful False Discovery Rate (FDR) approaches with computationally expensive but exact permutation testing.
Joshua eMillstein, Dmitri eVolfson
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Varieties of Confidence Intervals
Advances in Cognitive Psychology, 2017 Error bars are useful to understand data and their interrelations. Here, it is shown that confidence intervals of the mean (CI M s) can be adjusted based on whether the objective is to highlight differences between measures or not and based on the experimental design (within- or between-group designs). Confidence intervals (CIs) can also be adjusted to
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