Selection criterion for cases and controls
Prevalence of PALB2 mutations in Australian familial breast cancer cases and controls
... controls will be required to confirm whether the associ- ation of rs152451 with breast cancer is a robust finding. In addition, the wide variation in the frequency of the minor allele in different populations ...
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HaploShare: identification of extended haplotypes shared by cases and evaluation against controls
... If a region is shared by k individuals among a total of s cases, then s samples are selected randomly from the total pool of controls. For these individuals, haplotype- sharing is detected and the ...
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Test Module4. Controls and Security Test Cases
... A check is made to confirm that the ERMS allows an administrative role to configure a response if a user requests access to or searches for a class which the user does not have the per[r] ...
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Choosing cases and controls: the clinical epidemiology of "clinical investigation"
... that is governed during the clinical research, the investigators often overlook the previous ungoverned experiment of nature that produced the clinical conditions of the cases and contro[r] ...
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A selection criterion for patterns in reaction–diffusion systems
... with zero flux boundary conditions (cf. Methods section – The Fokker-Planck Associated Equation). As it was pointed out before, we claim that ρ plays the role of the potential and it allows us to predict the appearance ...
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PNEUMATIC CONTROLS Selection and Description
... PNEUMATIC CONTROLS | Component Descriptions Terminal Unit Controls DIVERTING RELAY Diverting relays are single pole, double throw devices that are used to divert one pneumatic signal to either of two branch ...
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Selection criterion of stable dendritic growth at arbitrary Péclet numbers with convection
... stability criterion for the dendrite tip velocity V and dendrite tip radius ρ as a function of the growth P´eclet number, flow P´eclet number, and Reynolds ...limiting cases, the obtained stability ...
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The Generalized Method of Moments in the Bayesian Framework and a Model of Moment Selection Criterion
... 1 Introduction In most cases of econometric practice, the researcher has only limited information on the data generating mechanism. While the classical framework has a rich set of inference methods based on ...
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Overviewing the transition of Markowitz bi-criterion portfolio selection to tri-criterion portfolio selection
... a criterion vector describing its risk-return attributes, the nondominated frontier is the plot of all portfolio crite- rion vectors that are nondominated in standard deviation, expected return ...portfolio’s ...
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Conceptual Fit: A Criterion for COTS Selection
... systems selection consists in evaluating the user requirements with respect to characteristics of candidate systems, using a set of ...One criterion that has received little attention is what we call ...
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Flexible Model Selection Criterion for Multiple Regression
... 87, in Wang [3]) in which the Monte Carlo method is carried out to test whether a regression equation should be parametric such as a simple regression equation. Next, model selection was carried out for the data ...
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Permuted Inclusion Criterion: A Variable Selection Technique
... many selection procedures have been developed. We propose a new selection scheme called the Permuted Inclusion Criterion (PIC) that mitigates selection bias with a penalty that adapts to the ...
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Combining ability as an efficiency criterion in the parental bean selection
... efficiency criterion in the parental bean selection Abstract The objective of the present work was to estimate the general combining ability (GCA) and specific combining ability (SCA) in the grain yield ...
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Asymptotic post-selection inference for Akaike’s information criterion
... We construct confidence intervals conditional on the selected model for a logistic regression model ap- plied to the Pima Indian diabetes data set (Lichman, 2013). This data set consists of women at least 21 years old of ...
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An Information Criterion for Variable Selection in Support Vector Machines
... We compare the performance of the new methods with that of the other discussed criteria on several real-world data sets. We use some of the benchmark data sets used in Rakotomamonjy (2003), and in R¨atsch et al. (2001). ...
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Tackling model selection and validation : an information theoretic criterion
... first criterion, (i), reflects the time- horizon one considers when analysing a given ...second criterion, (ii), puts a constraint on the comparability of real ...
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An information criterion for variable selection in Support Vector Machines.
... The datasets used are the Pima Indians Diabetes database (768 observations, 8 variables), the Statlog Cleveland Heart Disease database (303 observations, 14 vari- ables), and Leo Breiman’s ringnorm and twonorm datasets ...
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Covariance-Based Measurement Selection Criterion for Gaussian-Based Algorithms
... feature selection approach shown in Section ...feature selection criterion proposed herein has shown it to be coherent with the a previously obtained map by means of differential GPS ...feature ...
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Feature Selection for Image Classification Based on a New Ranking Criterion
... uation criterion integrating those from the reliefF method and the SVM-RFE is applied to select the final feature ...evaluation criterion can be ...feature selection and accurately image ...
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Parameter Selection for EM Clustering Using Information Criterion and PDDP
... Information Criterion Increasing the number of clusters in the mixture model results in an increase in the dimensionality of the model, causing a monotonous increase in its ...Information Criterion ...
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