Search results for "Binomial test"

showing 5 items of 5 documents

OMICfpp: a fuzzy approach for paired RNA-Seq counts

2019

© The Author(s) 2019.

0106 biological scienceslcsh:QH426-470Pipeline (computing)lcsh:BiotechnologyRNA-SeqBinomial testSample (statistics)Biologyoncología médicaMedical Oncology01 natural sciencesFuzzy logicSet (abstract data type)03 medical and health sciencesUser-Computer InterfaceSoftwarelcsh:TP248.13-248.65GeneticsHumansCàncer030304 developmental biologyOrdered weight average0303 health sciencesbusiness.industrySequence Analysis RNAMethodology ArticleHigh-Throughput Nucleotide SequencingPattern recognitionColorectal cancerlcsh:Genetics3201.01 OncologíatranscriptomaRandomization distributionRNAArtificial intelligenceDNA microarraybusinessColorectal NeoplasmsTranscriptome010606 plant biology & botanyBiotechnology
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Risk tables for discrimination tests

1993

Abstract Duo-trio and triangle test are often used in the food industry for the purpose of declaring two products non-distinguishable. In that situation, it is much more important to control the power of the test rather than the type 1 error risk. This paper makes available by e-mail a SAS ® macro, called BINRISKS, for computing type 1 and type 2 risks for any one-tailed binomial test and for any level of the percentage above chance to be detected. Using this macro, two sets of tables have been compiled. The first table includes for any total number of responses below 50, for any number of correct responses and for three levels of the percentage above chance to be detected, the correspondin…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsBinomial test04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceDiscrimination testingTest (assessment)03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringStatisticsEconometricsTable (database)MacroComputingMilieux_MISCELLANEOUSFood ScienceTriangle testMathematicsType I and type II errorsFood Quality and Preference
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IV: Signifikanztests - wann welchen?

2002

Standard statistics software packages offer a variety of significance tests. The major problem, however, is the correct choice of an appropriate significance test for the underlying data and design setting. In general, the choice of significance tests should decide between two sample versus one sample (i.e. interindividual versus intraindividual) analyses; a further determinant is the clinical endpoint's scale level (mainly continuous or categorical). Two sample comparisons can be performed using the Wilcoxon test for continuous endpoints and the exact Fisher test for binary endpoints. Intraindividual comparisons become feasible using the sign test for continuous and the McNemar test for bi…

Log-rank testOphthalmologysymbols.namesakeExact testMcNemar's testWilcoxon signed-rank testStatisticssymbolsSign testBinomial testCategorical variableFisher's exact testMathematicsKlinische Monatsblätter für Augenheilkunde
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A generalization of the Binomial distribution based on the dependence ratio

2014

We propose a generalization of the Binomial distribution, called DR-Binomial, which accommodates dependence among units through a model based on the dependence ratio (Ekholm et al., Biometrika, 82, 1995, 847). Properties of the DR-Binomial are discussed, and the constraints on its parameter space are studied in detail. Likelihood-based inference is presented, using both the joint and profile likelihoods; the usefulness of the DR-Binomial in applications is illustrated on a real dataset displaying negative unit-dependence, and hence under-dispersion compared with the Binomial. Although the DR-Binomial turns out to be a reparameterization of Altham's Additive-Binomial and Kupper–Haseman's Cor…

Statistics and ProbabilityMathematics::Commutative AlgebraBinomial approximationNegative binomial distributionBinomial testNegative multinomial distributionBinomial distributionBeta-binomial distributionStatisticsApplied mathematicsMultinomial theoremMultinomial distributionStatistics Probability and UncertaintyMathematicsStatistica Neerlandica
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Nearly exact sample size calculation for powerful non-randomized tests for differences between binomial proportions

2015

In the case of two independent samples, it turns out that among the procedures taken in consideration, BOSCHLOO'S technique of raising the nominal level in the standard conditional test as far as admissible performs best in terms of power against almost all alternatives. The computational burden entailed in exact sample size calculation is comparatively modest for both the uniformly most powerful unbiased randomized and the conservative non-randomized version of the exact Fisher-type test. Computing these values yields a pair of bounds enclosing the exact sample size required for the Boschloo test, and it seems reasonable to replace the exact value with the middle of the corresponding inter…

Statistics and ProbabilityScore testExact statisticsBinomial testsymbols.namesakeExact testMcNemar's testSample size determinationStatisticssymbolsSign testStatistics Probability and UncertaintyFisher's exact testMathematicsStatistica Neerlandica
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