Robust method for estimating the Bla
A robust method for estimating gene expression states using Affymetrix microarray probe level data
... A cross-tabulation of state of MYCN being 'On/Off ' and outcome (favorable/unfavorable) is also shown in Figure 5, where we define the gene state as 'On' if X ≥ 7 and 'Off ' if X ≤[r] ...
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Robust Statistical Method for Estimating Optimal Dynamic Treatment Regimes.
... BAQUN. Robust Statistical Method for Estimating Optimal Dynamic Treatment ...more robust method for estimating the optimal treatment regime for a single treatment ...doubly ...
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Robust Methods for Estimating Allele Frequencies
... 3.5 Conclusions and Future Work Simulation has shown that the use of the stretched exponential distribution in modeling ranked frequencies is robust under different mutation models. Since es- timation of the ...
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Robust Methods for Estimating the Mean with Missing Data.
... 97 In this chapter we extend S-PPMA to binary outcomes through data augmentation. MAR assumptions are often not reasonable, in which case potential nonresponse bias due to MNAR should be explored. Bin-PPMA and binS-PPMA ...
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Detection of P aeruginosa harboring bla CTX M 2, bla GES 1 and bla GES 5,bla IMP 1 and bla SPM 1causing infections in Brazilian tertiary care hospital
... dilution method, considering that the disc diffusion technique, commonly used in clinical microbiology laboratories is reported to be an unreliable method for evaluating the susceptibility to polymyxins ...
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A method for estimating the power of moments
... The research of Shuhua Chang was partially supported by the National Natural Science Foundation of China (Grant #: 91430108 and 11771322) and the research of Deli Li was partially suppor[r] ...
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Detection of Metallo-Beta-Lactamase Genes ( Bla imp , Bla ndm and Bla vim ) in Imipenem Resistant Bacterial Isolates from
... Due to the widespread occurrence of the MBL producers globally, different methods have been developed for the detection of these bacteria. These detection methods are broadly classified into the phenotypic and genotypic ...
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A Novel Method for Estimating Linkage Maps
... its success, which indicates that there is a high proba- bility that the terminal loci of the true map can be identified through utilization of distances among mul- tiple loci simultaneously. Although the theorem is ...
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A New Method of Estimating Risk Aversion
... than optimal behavior, the observed ∆c c overstates the degree of complementarity between consumption and labor. In this case, the estimates in column (7) give an upper bound for γ. In fact, generating a mean estimate of ...
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A Stochastic Method for Estimating Imputation Accuracy
... “pseudo-nearest-neighbours” method to impute missing values in multivariate Gaussian datasets, where the “pseudo-similarity” measurement implemented “is actually a weighted correlation value between the two ...
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A High Resolution DOA Estimating Method Without Estimating the Number of Sources
... estimation method without estimating the number of source, which has a high resolution and robust performance in the snapshot deficient and low SNR ...new method, we provide an empirical ...
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Fast, “Robust”, and Approximately Correct: Estimating Mixed Demand Systems
... the estimating equation; and to decide whether we should allow for a random coefficient, we only need to test whether the associated artificial regressor can be dropped from the equa- ...
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A robust ensemble classification method analysis
... A Robust Ensemble Classification Method for Microarray Data Analysis Zhongwei Zhang 1 , Jiuyong Li 2 , Hong Hu 3 and Hong Zhou 4 Abstract Apart from the dimensionality problem, the uncertainty of Microarray ...
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A Nonconvex Projection Method for Robust PCA
... projection method to solve ...a method that solves RPCA problem without considering any objective function, convex relaxation, or surrogate convex ...
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A Robust Method for Solving Transcendental Equations
... Abstract This paper provides a robust method for solving transcendental equations. The approach, based on the Genetic Algorithm, is commenced with the evaluation of the mathematical equations by their ...
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Robust Method for Noisy Image Segmentation
... [email protected] Abstract — A major problem in noisy image processing is the effective segmentation of its components. In this paper, we are proposing a K - Medoid clustering algorithm for noisy image segmentation, ...
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Rapid and Direct Real Time Detection of bla KPC and bla NDM from Surveillance Samples
... CDC method for CPE screening. The CDC-A was performed using the protocol recommended by the CDC (10), with a slight modification in that eosin methylene blue (EMB) agar (Becton Dickinson) was used in- stead of ...
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An efficient method for estimating conditional failure probabilities
... The proposed approach aims at computing conditional failure probabilities starting from a failure region mapping based on a multinomial logistic regression [12]. The training of the classification algorithm employs ...
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CiteSeerX — A Method of Estimating Infant Deaths in Korea
... We secured the total number of infant deaths by collecting the maximum number of infant deaths from all sources, compiling all data and adjusting for any overla[r] ...
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A method of estimating the average derivative: the multivariate case
... then ± 2 is likewise proportional to ¯ 2 (namely E[dG=d(x 0 (2) ¯ 2 )]). Again the A.D.E method is easily extended. A.D.E's are also used in speci¯c measurement problems in economics. A primary ex- ample by ...
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