Search results for "General Immunology and Microbiology"

showing 10 items of 784 documents

A Log-Rank Test for Equivalence of Two Survivor Functions

1993

We consider a hypothesis testing problem in which the alternative states that the vertical distance between the underlying survivor functions nowhere exceeds some prespecified bound delta0. Under the assumption of proportional hazards, this hypothesis is shown to be (logically) equivalent to the statement [beta[log(1 + epsilon), where beta denotes the regression coefficient associated with the treatment group indicator, and epsilon is a simple strictly increasing function of delta. The testing procedure proposed consists of carrying out in terms of beta (i.e., the standard Cox likelihood estimator of beta) the uniformly most powerful level alpha test for a suitable interval hypothesis about…

Statistics and ProbabilityBiometryGaussianGeneral Biochemistry Genetics and Molecular BiologyCombinatoricssymbols.namesakeNeoplasmsLinear regressionStatisticsChi-square testHumansComputer SimulationCerebellar NeoplasmsChildEquivalence (measure theory)Proportional Hazards ModelsStatistical hypothesis testingMathematicsClinical Trials as TopicGeneral Immunology and MicrobiologyApplied MathematicsEstimatorGeneral MedicineSurvival AnalysisLog-rank testLinear ModelssymbolsGeneral Agricultural and Biological SciencesMedulloblastomaQuantileBiometrics
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Testing for homogeneity in meta-analysis I. The one-parameter case: standardized mean difference.

2010

Meta-analysis seeks to combine the results of several experiments in order to improve the accuracy of decisions. It is common to use a test for homogeneity to determine if the results of the several experiments are sufficiently similar to warrant their combination into an overall result. Cochran's Q statistic is frequently used for this homogeneity test. It is often assumed that Q follows a chi-square distribution under the null hypothesis of homogeneity, but it has long been known that this asymptotic distribution for Q is not accurate for moderate sample sizes. Here, we present an expansion for the mean of Q under the null hypothesis that is valid when the effect and the weight for each s…

Statistics and ProbabilityBiometryModels StatisticalGeneral Immunology and MicrobiologyApplied MathematicsHomogeneity (statistics)Pearson's chi-squared testAsymptotic distributionGeneral MedicineGeneral Biochemistry Genetics and Molecular Biologysymbols.namesakeF-testMeta-Analysis as TopicData Interpretation StatisticalStatisticsTest statisticNull distributionsymbolsChi-square testZ-testComputer SimulationGeneral Agricultural and Biological SciencesEpidemiologic MethodsAlgorithmsMathematicsBiometrics
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Functional Data Analysis with R and Matlab by RAMSAY, J. O., HOOKER, G., and GRAVES, S.

2010

Statistics and ProbabilityDiscrete mathematicsGeneral Immunology and MicrobiologyApplied MathematicsFunctional data analysisGeneral MedicineGeneral Agricultural and Biological SciencesMATLABcomputerGeneral Biochemistry Genetics and Molecular BiologyDemographyMathematicscomputer.programming_languageBiometrics
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On the function of modified nucleosides in the RNA world.

1998

Presumably ribosome and transfer RNA (tRNA) evolved from a pre-existing function in the RNA stage of life and were secondarily adapted for protein synthesis. Various possible initial functions of the primitive ribosome (protoribosome) have been suggested. The initial function of the primitive ribosome and primitive genetic translation would have been quite similar. It is possible that, initially, both functions coexisted in the protoribosome. Given that the three-dimensional structure of ribosomal RNAs shows only minor variations throughout time, it is, then, most likely that present ribosomes can still recall (remember) the most important parts of the mechanism of their initial function. A…

Statistics and ProbabilityGeneral Immunology and MicrobiologyApplied MathematicsRibozymeRNATranslation (biology)NucleosidesGeneral MedicineBiologyRibosomeGeneral Biochemistry Genetics and Molecular BiologyGenetic translationEvolution MolecularBiochemistryRNA TransferRNA RibosomalModeling and SimulationProtein BiosynthesisTransfer RNAbiology.proteinProtein biosynthesisAnimalsRNAGeneral Agricultural and Biological SciencesEukaryotic RibosomeJournal of theoretical biology
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Improvements and Modifications of Tarone's Multiple Test Procedure for Discrete Data

1998

Tarone (1990, Biometrics 46, 515-522) proposed a multiple test procedure for discrete test statistics improving the usual Bonferroni procedure. However, Tarone's procedure is not monotone depending on the predetermined multiple level a. Roth (1998, Journal of Statistical Planning and Inference, in press) developed a monotone version of Tarone's procedure. We present a similar procedure that is both monotone and an improvement of Tarone's proposal. Based on this extension, we derive a step-down procedure that is a corresponding improvement of Holm's (1979, Scandinavian Journal of Statistics 6, 65-70) sequentially rejective procedure. It is shown how adjusted p-values can be computed for the …

Statistics and ProbabilityGeneral Immunology and MicrobiologyBiometricsComputer scienceTest proceduresApplied MathematicsInferenceGeneral MedicineExtension (predicate logic)General Biochemistry Genetics and Molecular Biologysymbols.namesakeBonferroni correctionMonotone polygonsymbolsGeneral Agricultural and Biological SciencesAlgorithmStatistical hypothesis testingBiometrics
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Macroscopic Dynamic Effects of Migrations in Patchy Predator-prey Systems

1997

Abstract Different mechanisms at the behaviourial or physiological levels determine many properties of predator-prey systems at the population level. In this paper, we present a method of obtaining complex predator-prey dynamic models from models at a detailed, behaviourial level of description. We consider a multi-patch predator-prey model, the dynamics of which contains two time-scales: a fast one, associated with migrations between patches, and a slow one, on which interactions, reproduction and mortality occur. We use methods of perturbation theory in order to aggregate the multi-patch system into a reduced system of two differential equations for the total prey and predator populations…

Statistics and ProbabilityGeneral Immunology and MicrobiologyDifferential equationEcologyApplied MathematicsAggregate (data warehouse)General MedicineBiologyGeneral Biochemistry Genetics and Molecular BiologyPredationOrder (biology)Coupling (computer programming)Modeling and SimulationStatistical physicsPerturbation theory (quantum mechanics)Trophic functionGeneral Agricultural and Biological SciencesPredatorJournal of Theoretical Biology
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Mixture Analysis in Biology: Scope and Limits

1998

Statistics and ProbabilityGeneral Immunology and MicrobiologyScope (project management)Applied MathematicsModeling and SimulationEngineering ethicsGeneral MedicineBiologyGeneral Agricultural and Biological SciencesGeneral Biochemistry Genetics and Molecular BiologyJournal of Theoretical Biology
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On the dimerization of the primitive tRNAs: implications in the origin of genetic code.

2002

RNAs that catalyse their own aminoacylation have been recently selected in vitro. These findings support the notion that the primitive aminoacyl-tRNA synthetases may have been RNAs. In this paper, we propose a structural model for the first aminoacyl-tRNA synthetase consisting of an RNA complex formed between two primitive tRNA molecules through two intermolecular loop-strand interactions, and with implications in the origin of the genetic code.

Statistics and ProbabilityGeneticsGeneral Immunology and MicrobiologyModels GeneticApplied MathematicsRNAAminoacylationGeneral MedicineBiologyGenetic codeenvironment and public healthGeneral Biochemistry Genetics and Molecular Biologyenzymes and coenzymes (carbohydrates)RNA TransferGenetic CodeModeling and SimulationTransfer RNAbacteriaAnimalsGeneral Agricultural and Biological SciencesDimerizationJournal of theoretical biology
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Multitype spatial point patterns with hierarchical interactions.

2001

Multitype spatial point patterns with hierarchical interactions are considered. Here hierarchical interaction means directionality: points on a higher level of hierarchy affect the locations of points on the lower levels, but not vice versa. Such relations are common, for example, in ecological communities. Interacting point patterns are often modeled by Gibbs processes with pairwise interactions. However, these models are inherently symmetric, and the hierarchy can be acknowledged only when interpreting the results. We suggest the following in allowing the inclusion of the hierarchical structure in the model. Instead of regarding the pattern as a realization of a stationary multivariate po…

Statistics and ProbabilityLikelihood FunctionsBiometryModels StatisticalGeneral Immunology and MicrobiologyHierarchy (mathematics)AntsApplied MathematicsStructure (category theory)UnivariateGeneral MedicineType (model theory)General Biochemistry Genetics and Molecular BiologyPoint processCombinatoricsSpecies SpecificityMultivariate AnalysisAnimalsPairwise comparisonPoint (geometry)Statistical physicsGeneral Agricultural and Biological SciencesRealization (probability)EcosystemMathematicsBiometrics
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Splitting the dynamics of large biochemical interaction networks

2003

This article is inscribed in the general motivation of understanding the dynamics on biochemical networks including metabolic and genetic interactions. Our approach is continuous modeling by differential equations. We address the problem of the huge size of those systems. We present a mathematical tool for reducing the size of the model, master-slave synchronization, and fit it to the biochemical context.

Statistics and ProbabilityMaster slave synchronizationModularity (networks)Theoretical computer scienceGeneral Immunology and MicrobiologyDifferential equationSystems BiologyQuantitative Biology::Molecular NetworksApplied MathematicsSystems biologyDynamics (mechanics)Context (language use)General MedicineBiologyBioinformaticsModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyCell Physiological PhenomenaGene Expression RegulationModeling and SimulationSynchronization (computer science)AnimalsGeneral Agricultural and Biological SciencesAlgorithmsJournal of Theoretical Biology
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