Results 61 to 70 of about 2,097,293 (339)
Confidence intervals: Concepts, fallacies, criticisms, solutions and beyond [PDF]
Network Biology, 2022 For a long time, confidence interval theory is the basis of statistics, and confidence interval has been regarded as an important content of statistical analysis.
WenJun Zhang
doaj
Inferential Statistics Is an Unfit Tool for Interpreting Data
Applied Sciences, 2022 Null hypothesis significance testing is a commonly used tool for making statistical inferences in empirical studies, but its use has always been controversial. In this manuscript, I argue that even more problematic is that significance testing, and other
Anders Sand
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Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway
Molecular Oncology, EarlyView.Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed +10 more
wiley +1 more source
p value and confidence intervals
Current 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
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Simple and Honest Confidence Intervals in Nonparametric Regression
, 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
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Molecular Oncology, EarlyView.We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Inference for the Weibull Distribution: A tutorial [PDF]
Tutorials in Quantitative Methods for Psychology, 2015 This tutorial deals with the 2-parameter Weibull distribution. In particular it covers the construction of confidence bounds and intervals for various parameters of interest, the Weibull scale and shape parameters, its quantiles and tail probabilities ...
Scholz, F. W.
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A calculator for confidence intervals [PDF]
Computer Physics Communications, 2002 A calculator program has been written to give confidence intervals on branching ratios for rare decay modes (or similar quantities) calculated from the number of events observed, the acceptance factor, the background estimate and the associated errors.
openaire +3 more sources
Confidence Intervals for Projections of Partially Identified Parameters
, 2019 We propose a bootstrap-based calibrated projection procedure to build confidence intervals for single components and for smooth functions of a partially identified parameter vector in moment (in)equality models.
Kaido, Hiroaki +2 more
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Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source