Search results for "Data interpretation"

showing 10 items of 195 documents

Coupled variable selection for regression modeling of complex treatment patterns in a clinical cancer registry.

2013

For determining a manageable set of covariates potentially influential with respect to a time-to-event endpoint, Cox proportional hazards models can be combined with variable selection techniques, such as stepwise forward selection or backward elimination based on p-values, or regularized regression techniques such as component-wise boosting. Cox regression models have also been adapted for dealing with more complex event patterns, for example, for competing risks settings with separate, cause-specific hazard models for each event type, or for determining the prognostic effect pattern of a variable over different landmark times, with one conditional survival model for each landmark. Motivat…

Statistics and ProbabilityMaleNiacinamideBoosting (machine learning)Carcinoma HepatocellularEpidemiologyComputer scienceScoreFeature selectionAntineoplastic Agentscomputer.software_genreDecision Support TechniquesNeoplasmsCovariateHumansRegistriesAgedProportional Hazards ModelsProportional hazards modelPhenylurea CompoundsLiver NeoplasmsRegression analysisConfounding Factors EpidemiologicMiddle AgedSorafenibPrognosisRegressionCancer registryData Interpretation StatisticalRegression AnalysisData miningcomputerStatistics in medicine
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Assessing covariate imbalance in meta-analysis studies.

2010

The main goal of meta-analysis is to combine data across studies or data sets to obtain summary estimates. In this paper, the novelty is to propose a statistical tool to assess a possible covariate imbalance in baseline variables to investigate similarity of trials. We conducted the detection of the covariate imbalance, first, through some graphical comparison of the empirical cumulative distribution functions or ECDFs, which are built by putting together arms or trials according to some risk factor, and second, through some non-parametric tests such as the Kolmogorov–Smirnov and the Anderson–Darling tests. To overcome the huge presence of ties, we conducted the statistical tests on perturbe…

Statistics and ProbabilityMaleperturbationEpidemiologyComputer sciencePoolingHypercholesterolemiaAlpha interferonMeta-Analysis as TopicCovariateStatisticsEconometricsHumansSettore SECS-S/05 - Statistica SocialeECDFnon-parametric testStatistical hypothesis testingRandomized Controlled Trials as TopicCumulative distribution functionNonparametric statisticsNoveltyInterferon-alphacombinabilityHepatitis C ChronicMeta-analysisData Interpretation StatisticalFemaleHydroxymethylglutaryl-CoA Reductase InhibitorsStatistics in medicine
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Assessment of the probabilities for evolutionary structural changes in protein folds.

2007

Abstract Motivation: The evolution of protein sequences can be described by a stepwise process, where each step involves changes of a few amino acids. In a similar manner, the evolution of protein folds can be at least partially described by an analogous process, where each step involves comparatively simple changes affecting few secondary structure elements. A number of such evolution steps, justified by biologically confirmed examples, have previously been proposed by other researchers. However, unlike the situation with sequences, as far as we know there have been no attempts to estimate the comparative probabilities for different kinds of such structural changes. Results: We have tried …

Statistics and ProbabilityModels MolecularProtein FoldingProtein domainStructural alignmentBiologyBiochemistrySet (abstract data type)Evolution MolecularProtein structureSimilarity (network science)Sequence Analysis ProteinComputer SimulationMolecular BiologyProtein secondary structureConserved SequenceSequenceModels GeneticSequence Homology Amino AcidProteinsStructural Classification of Proteins databaseComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsModels ChemicalData Interpretation Statisticalsense organsAlgorithmSequence AlignmentBioinformatics (Oxford, England)
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Tests for Differentiation in Gene Expression Using a Data-Driven Order or Weights for Hypotheses

2005

In the analysis of gene expression by microarrays there are usually few subjects, but high-dimensional data. By means of techniques, such as the theory of spherical tests or with suitable permutation tests, it is possible to sort the endpoints or to give weights to them according to specific criteria determined by the data while controlling the multiple type I error rate. The procedures developed so far are based on a sequential analysis of weighted p-values (corresponding to the endpoints), including the most extreme situation of weighting leading to a complete order of p-values. When the data for the endpoints have approximately equal variances, these procedures show good power properties…

Statistics and ProbabilityModels StatisticalModels GeneticBiometricsGene Expression ProfilingWord error rateFamilywise error rateGeneral MedicineData-drivenWeightingData Interpretation StatisticalsortComputer Simulationp-valueStatistics Probability and UncertaintyAlgorithmAlgorithmsOligonucleotide Array Sequence AnalysisMathematicsType I and type II errorsBiometrical Journal
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Inferential tools in penalized logistic regression for small and sparse data: A comparative study.

2016

This paper focuses on inferential tools in the logistic regression model fitted by the Firth penalized likelihood. In this context, the Likelihood Ratio statistic is often reported to be the preferred choice as compared to the ‘traditional’ Wald statistic. In this work, we consider and discuss a wider range of test statistics, including the robust Wald, the Score, and the recently proposed Gradient statistic. We compare all these asymptotically equivalent statistics in terms of interval estimation and hypothesis testing via simulation experiments and analyses of two real datasets. We find out that the Likelihood Ratio statistic does not appear the best inferential device in the Firth penal…

Statistics and ProbabilityScore testPRESS statisticEpidemiologyStatistics as TopicScoreWald testLogistic regression01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineHealth Information ManagementStatisticsEconometricsHumans030212 general & internal medicine0101 mathematicsStatisticMathematicsLikelihood FunctionsModels StatisticalLogistic regression firth penalized likelihood sandwich formula score statistic gradient statisticLogistic ModelsLikelihood-ratio testData Interpretation StatisticalSample SizeAncillary statisticSettore SECS-S/01 - StatisticaStatistical methods in medical research
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Test and power considerations for multiple endpoint analyses using sequentially rejective graphical procedures

2009

A variety of powerful test procedures are available for the analysis of clinical trials addressing multiple objectives, such as comparing several treatments with a control, assessing the benefit of a new drug for more than one endpoint, etc. However, some of these procedures have reached a level of complexity that makes it difficult to communicate the underlying test strategies to clinical teams. Graphical approaches have been proposed instead that facilitate the derivation and communication of Bonferroni-based closed test procedures. In this paper we give a coherent description of the methodology and illustrate it with a real clinical trial example. We further discuss suitable power measur…

Statistics and ProbabilityTest strategyEndpoint DeterminationEpidemiologyComputer scienceControl (management)Analysis of clinical trialsMachine learningcomputer.software_genresymbols.namesakeDrug TherapyComputer GraphicsConfidence IntervalsHumansMulticenter Studies as TopicRandomized Controlled Trials as Topicbusiness.industryVariety (cybernetics)Test (assessment)Clinical trialBonferroni correctionClinical Trials Phase III as TopicData Interpretation StatisticalMultiple comparisons problemsymbolsArtificial intelligencebusinessAlgorithmcomputerStatistics in Medicine
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High-resolution crystal structure of an avidin-related protein: insight into high-affinity biotin binding and protein stability.

2004

The chicken avidin gene belongs to an extended gene family encoding seven avidin-related genes (AVRs), of which only avidin is expressed in the chicken. The sequences of AVR4 and AVR5 are identical and the common protein (AVR4) has been expressed both in insect and bacterial systems. The recombinant proteins are similarly hyperthermostable and bind biotin with similarly high affinities. AVR4 was crystallized in the apo and biotin-complexed forms and their structures were determined at high resolution. Its tertiary and quaternary structures are very similar to those of avidin and streptavidin. Its biotin-binding site shows only a few alterations compared with those of avidin and streptavidin…

StreptavidinBiotin bindingHot TemperatureBiotinBiologylaw.inventionchemistry.chemical_compoundBiotinStructural BiologylawAnimalsProtein Structure QuaternaryThermostabilityBacteriaHydrogen BondingGeneral MedicineAvidinAffinitiesBiochemistrychemistryBiotinylationData Interpretation StatisticalBiophysicsRecombinant DNAbiology.proteinStreptavidinCrystallizationBaculoviridaeChickensAvidinProtein BindingActa crystallographica. Section D, Biological crystallography
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Diode laser spectroscopy of the nu(8) band of the SF(5)Cl molecule.

2003

Abstract Diode laser spectra of SF 5 Cl have been recorded in the ν 8 band region at a temperature of ca. 240 K, a pressure of 0.25 mbar and an instrumental bandwidth of ca. 0.001 cm −1 . Four regions have been studied: a first one in the P -branch (906.849–907.687 cm −1 ), a second one in the Q -branch (910.407–910.944 cm −1 ), and two other ones in the R -branch (913.957–914.556 and 917.853–918.705 cm −1 ). The whole ν 1 / ν 8 dyad of SF 5 35 Cl has been previously recorded in the group of Professor H. Burger in Wuppertal, thanks to a Fourier transform infrared spectrometer [J. Mol. Spectrosc. 208 (2001) 169]. These data have thus been combined with our diode laser ones in the aim of refi…

Sulfur CompoundsChemistryLasersFluorine CompoundsAnalytical chemistryInfrared spectroscopyLaserAtomic and Molecular Physics and OpticsSpectral lineAnalytical Chemistrylaw.inventionsymbols.namesakeFourier transformChlorideslawSpectrophotometryData Interpretation StatisticalsymbolsAtomic physicsFourier transform infrared spectroscopyGround stateHamiltonian (quantum mechanics)InstrumentationSpectroscopyDiodeSpectrochimica acta. Part A, Molecular and biomolecular spectroscopy
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A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals

2009

A method to perform time-varying (TV) nonlinear prediction of biomedical signals in the presence of nonstationarity is presented in this paper. The method is based on identification of TV autoregressive models through expansion of the TV coefficients onto a set of basis functions and on k -nearest neighbor local linear approximation to perform nonlinear prediction. The approach provides reasonable nonlinear prediction even for TV deterministic chaotic signals, which has been a daunting task to date. Moreover, the method is used in conjunction with a TV surrogate method to provide statistical validation that the presence of nonlinearity is not due to nonstationarity itself. The approach is t…

Time FactorsComputer scienceSpeech recognitionChaoticBiomedical EngineeringBasis functionModels BiologicalSurrogate dataYoung AdultHeart RatePredictive Value of TestsNonstationary signalHumansComputer SimulationEEGPredictabilitySignal processingNonlinear dynamicElectroencephalographySignal Processing Computer-AssistedComplexityLocal nonlinear predictionNonlinear systemNonlinear DynamicsAutoregressive modelData Interpretation StatisticalSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear approximationSurrogate dataAlgorithmHeart rate variability (HRV)Algorithms
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ERP denoising in multichannel EEG data using contrasts between signal and noise subspaces

2009

Abstract In this paper, a new method intended for ERP denoising in multichannel EEG data is discussed. The denoising is done by separating ERP/noise subspaces in multidimensional EEG data by a linear transformation and the following dimension reduction by ignoring noise components during inverse transformation. The separation matrix is found based on the assumption that ERP sources are deterministic for all repetitions of the same type of stimulus within the experiment, while the other noise sources do not obey the determinancy property. A detailed derivation of the technique is given together with the analysis of the results of its application to a real high-density EEG data set. The inter…

Underdetermined systemNoise reductionInverseElectroencephalographyDyslexiaEvent-related potentialmedicineHumansChildEvoked PotentialsMathematicsLanguage Testsmedicine.diagnostic_testbusiness.industryGeneral NeuroscienceDimensionality reductionBrainElectroencephalographySignal Processing Computer-AssistedPattern recognitionLinear subspaceLinear mapAcoustic StimulationData Interpretation StatisticalLinear ModelsSpeech PerceptionArtificial intelligenceArtifactsbusinessAlgorithmsSoftwareJournal of Neuroscience Methods
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