Results 101 to 110 of about 3,328,774 (379)
Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma
Molecular Oncology, EarlyView.This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu +15 more
wiley +1 more source
Confidence intervals using contrasts for regression model [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2009 A graph of confidence intervals can be used to report results from a regression model with explanatory variables asfactors. In this paper we describe a method for computing and displaying confidence intervals using weighted sum contraststo compare ...
Phattrawan Tongkumchum, Don McNeil
doaj
Journal of Probability and Statistics, 2015 Model averaging is a technique used to account for model uncertainty, in both Bayesian and frequentist multimodel inferences. In this paper, we compare the performance of model-averaged Bayesian credible intervals and frequentist confidence intervals ...
Daniel Turek
doaj +1 more source
A New Confidence Interval for the Mean of a Bounded Random Variable [PDF]
arXiv, 2019 We present a new method for constructing a confidence interval for the mean of a bounded random variable from samples of the random variable. We conjecture that the confidence interval has guaranteed coverage, i.e., that it contains the mean with high probability for all distributions on a bounded interval, for all samples sizes, and for all confidence
arxiv
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation
AAAI Conference on Artificial Intelligence, 2016 In many reinforcement learning applications, it is desirable to determine confidence interval lower bounds on the performance of any given policy without executing said policy.
Josiah P. Hanna, P. Stone, S. Niekum
semanticscholar +1 more source
Molecular Oncology, EarlyView.TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair +17 more
wiley +1 more source
Effect of confidence interval construction on judgment accuracy
Judgment and Decision Making, 2020 Three experiments (N = 550) examined the effect of an interval construction elicitation method used in several expert elicitation studies on judgment accuracy.
David R. Mandel +3 more
doaj +1 more source
Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
On a linear method in bootstrap confidence intervals
Statistica, 2007 A linear method for the construction of asymptotic bootstrap confidence intervals is proposed. We approximate asymptotically pivotal and non-pivotal quantities, which are smooth functions of means of n independent and identically distributed random ...
Andrea Pallini
doaj +1 more source
Confidence Interval of Probability Estimator of Laplace Smoothing [PDF]
, 2017 Sometimes, we do not use a maximum likelihood estimator of a probability but it's a smoothed estimator in order to cope with the zero frequency problem. This is often the case when we use the Naive Bayes classifier. Laplace smoothing is a popular choice with the value of Laplace smoothing estimator being the expected value of posterior distribution of ...
arxiv +1 more source