Search results for "multiple comparisons"

showing 10 items of 23 documents

A Comparative Study of Cyclic Fatigue of 10 Different Types of Endodontic Instruments: an in Vitro Study

2019

Objective This study was designed to test the null hypothesis that there were no significant differences between size 25 files F360, F6 SkyTaper, Hyflex EDM, iRace, Neoniti, One Shape Protaper Next, Reciproc, Revo-S and Wave One Gold in terms of resistance to cyclic fatigue and length of broken fragments. Material and methods 300 new size 25 files of the systems studied were selected (n=30). The instruments were mechanized with a X-Smart Plus endo motor at the speed and torque recommended by the manufacturer, holding the instruments steady with a clamping mechanism, with passive adjustment and without pressure in a stainless-steel block. The time was calculated in seconds until fracture. Th…

OrthodonticsCyclic stress030206 dentistry02 engineering and technology021001 nanoscience & nanotechnologyConfidence intervalDental High-Speed Equipment03 medical and health sciences0302 clinical medicineTorqueMultiple comparisons problemIn vitro studyCalipersStatistical analysis0210 nano-technologyOriginal Scientific PapersGeneral DentistryFatigueMathematicsActa Stomatologica Croatica
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Multiple testing in candidate gene situations: a comparison of classical, discrete, and resampling-based procedures.

2011

In candidate gene association studies, usually several elementary hypotheses are tested simultaneously using one particular set of data. The data normally consist of partly correlated SNP information. Every SNP can be tested for association with the disease, e.g., using the Cochran-Armitage test for trend. To account for the multiplicity of the test situation, different types of multiple testing procedures have been proposed. The question arises whether procedures taking into account the discreteness of the situation show a benefit especially in case of correlated data. We empirically evaluate several different multiple testing procedures via simulation studies using simulated correlated SN…

Statistics and ProbabilityCandidate geneContrast (statistics)computer.software_genrePolymorphism Single NucleotideSet (abstract data type)Computational MathematicsSample size determinationResamplingData Interpretation StatisticalSample SizeStatisticsMultiple comparisons problemGeneticsCochran–Armitage test for trendRange (statistics)HumansComputer SimulationDiseaseData miningMolecular BiologycomputerGenetic Association StudiesMathematicsStatistical applications in genetics and molecular biology
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Opportunities and challenges of combined effect measures based on prioritized outcomes

2013

Many authors have proposed different approaches to combine multiple endpoints in a univariate outcome measure in the literature. In case of binary or time-to-event variables, composite endpoints, which combine several event types within a single event or time-to-first-event analysis are often used to assess the overall treatment effect. A main drawback of this approach is that the interpretation of the composite effect can be difficult as a negative effect in one component can be masked by a positive effect in another. Recently, some authors proposed more general approaches based on a priority ranking of outcomes, which moreover allow to combine outcome variables of different scale levels. …

Statistics and ProbabilityClinical Trials as TopicEpidemiologyUnivariatecomputer.software_genreOutcome (game theory)Treatment OutcomeRankingScale (social sciences)Component (UML)Outcome Assessment Health CareMultiple comparisons problemHumansComputer SimulationData miningcomputerProportional Hazards ModelsMathematicsStatistical hypothesis testingEvent (probability theory)Statistics in Medicine
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Multiple testing of pairs of one-sided hypotheses

1986

Two-sided test procedures fork real parameters should point out in the case of rejection whether the left or the right alternative can be assumed. This sets up a multiple testing problem fork pairs of one-sided hypotheses. Holm's (1979, Scandinavian Journal of Statistics 6:65–70) sequentially rejective test provides a solution the critical levels of which are slightly improved. Considerable improvement is obtained when the hypotheses are redefined to be disjoint in pairs.

Statistics and ProbabilityCombinatoricsProbability theoryOne sidedTest proceduresStatisticsMultiple comparisons problemPoint (geometry)Disjoint setsStatistics Probability and UncertaintyFork (software development)MathematicsTest (assessment)Metrika
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Sequentially Rejective Test Procedures for Detecting Outlying Cells in One- and Two-Sample Multinomial Experiments

1985

For multiple testing of multinomial models in the case of one or two samples we propose using test procedures based on the principle described by MARCUS, PERITZ and GABRIEL (1976). These methods are based in each step of the sequentially rejective strategy on tests which exhaust the full α level (i.e. which are not conservative). The tests can be performed in a finite or asymptotic version.

Statistics and ProbabilityContingency tableTest proceduresStatisticsMultiple comparisons problemMultinomial distributionGeneral MedicineTwo sampleStatistics Probability and UncertaintyAlgorithmConfigural frequency analysisMathematicsBiometrical Journal
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Multiple Comparisons of Treatments with Stable Multivariate Tests in a Two‐Stage Adaptive Design, Including a Test for Non‐Inferiority

2000

The application of stabilized multivariate tests is demonstrated in the analysis of a two-stage adaptive clinical trial with three treatment arms. Due to the clinical problem, the multiple comparisons include tests of superiority as well as a test for non-inferiority, where non-inferiority is (because of missing absolute tolerance limits) expressed as linear contrast of the three treatments. Special emphasis is paid to the combination of the three sources of multiplicity - multiple endpoints, multiple treatments, and two stages of the adaptive design. Particularly, the adaptation after the first stage comprises a change of the a-priori order of hypotheses.

Statistics and ProbabilityMultivariate statisticsAdaptive clinical trialMultivariate analysisMultiple comparisons problemStatisticsContrast (statistics)Regression analysisGeneral MedicineStatistics Probability and UncertaintyMissing dataStatistical hypothesis testingMathematicsBiometrical Journal
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Powerful short-cuts for multiple testing procedures with special reference to gatekeeping strategies.

2007

In this paper we present a general testing principle for a class of multiple testing problems based on weighted hypotheses. Under moderate conditions, this principle leads to powerful consonant multiple testing procedures. Furthermore, short-cut versions can be derived, which simplify substantially the implementation and interpretation of the related test procedures. It is shown that many well-known multiple test procedures turn out to be special cases of this general principle. Important examples include gatekeeping procedures, which are often applied in clinical trials when primary and secondary objectives are investigated, and multiple test procedures based on hypotheses which are comple…

Statistics and ProbabilityResearch designClass (computer programming)Clinical Trials as TopicGatekeepingInterpretation (logic)Models StatisticalEpidemiologybusiness.industryTest proceduresMachine learningcomputer.software_genreGatekeepingEuropesymbols.namesakeBonferroni correctionResearch DesignMultiple comparisons problemsymbolsHumansArtificial intelligencebusinessAlgorithmcomputerMathematicsStatistics in medicine
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Adaptive Modifications of Hypotheses After an Interim Analysis

2001

It is investigated how one can modify hypotheses in a trial after an interim analysis such that the type I error rate is controlled. If only a global statement is desired, a solution was given by Bauer (1989). For a general multiple testing problem, Kieser, Bauer and Lehmacher (1999) and Bauer and Kieser (1999) gave solutions, by means of which the initial set of hypotheses can be reduced after the interim analysis. The same techniques can be applied to obtain more flexible strategies, as changing weights of hypotheses, changing an a priori order, or even including new hypotheses. It is emphasized that the application of these methods requires very careful planning of a trial as well as a c…

Statistics and ProbabilityStatement (computer science)Mathematical optimizationGeneral MedicineInterim analysisWeightingMultiple comparisons problemA priori and a posterioriStatistics Probability and UncertaintySet (psychology)AlgorithmStatistical hypothesis testingType I and type II errorsMathematicsBiometrical Journal
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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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Multiple Hypotheses Testing

1993

The paper is mainly concerned with multiple testing procedures which control a given multiple level α. General concepts for this purpose are the closure test and a modification which is independent of the special structure of hypotheses and tests. We consider improvements of this modification using information about the logical dependences (redundancies) within the system of hypotheses and present an efficient algorithm. Finally, we discuss some problems which are specific for hierarchical systems of hypotheses, e.g. in model search.

Structure (mathematical logic)Theoretical computer scienceEfficient algorithmComputer scienceMultiple comparisons problemMultiple hypothesesClosure (topology)Control (linguistics)Test (assessment)
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