Results 101 to 110 of about 5,234,127 (383)

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

open access: yesMolecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka   +10 more
wiley   +1 more source

Forecasting the Confidence Interval of Efficiency in Fuzzy DEA

open access: yesOperations Research and Decisions, 2021
Data envelopment analysis (DEA) is a well-known method that based on inputs and outputs calculates the efficiency of decision-making units (DMUs). Comparing the efficiency and ranking of DMUs in different periods lets the decision-makers prevent any loss
Azarnoosh Kafi   +2 more
doaj  

Bootstrap confidence intervals

open access: yes, 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

Standard error and confidence interval for QALY weights [PDF]

open access: yes
There are some problems with the standard errors of QALY weights proposed by Groot (2000, Journal of Health Economics 19). The standard errors show smaller values than those of Groot when we recalculate using his method.
Chie Hanaoka, Hiroshi Gunji
core  

Estimation of Stress-Strength model in the Generalized Linear Failure Rate Distribution [PDF]

open access: yes, 2013
In this paper, we study the estimation of $R=P [Y < X ]$, also so-called the stress-strength model, when both $X$ and $Y$ are two independent random variables with the generalized linear failure rate distributions, under different assumptions about their
Daneshkhah, Alireza, Shahsanaei, Fatemeh
core  

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

open access: yesMolecular 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 Interval of Probability Estimator of Laplace Smoothing [PDF]

open access: yes, 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

The atypical KRASQ22K mutation directs TGF‐β response towards partial epithelial‐to‐mesenchymal transition in patient‐derived colorectal cancer tumoroids

open access: yesMolecular 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

Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method

open access: yes, 2005
Within-subject ANOVAs are a powerful tool to analyze data because the variance associated to differences between the participants is removed from the analysis.
D. Cousineau
semanticscholar   +1 more source

On the Number of Bootstrap Repetitions for BC_a Confidence Intervals [PDF]

open access: yes
This paper considers the problem of choosing the number bootstrap repetitions B to use with the BC_{a} bootstrap confidence intervals introduced by Efron (1987).
Donald W.K. Andrews, Moshe Y. Buchinsky
core  

Home - About - Disclaimer - Privacy