Search results for "Statistics"

showing 10 items of 7671 documents

A matching task as a potential technique for descriptive profile validation

2003

If panellists can successfully match products to the corresponding descriptive profiles, then the profiles can be regarded as product-relevant and valid. This work examined the ability of a trained panel to perform a matching task between products and their descriptive profiles. A 13-member panel, trained to assess eight cheeses in terms of 19 flavour attributes, performed the task based on their individually developed profiles. The panel's ability to match products to profiles was well above that expected by chance, and chi-square statistics for each of the products were significant (P<0.05). A correspondence analysis based on the group results indicated that all the products were relative…

0303 health sciencesMatching (statistics)Nutrition and Dietetics030309 nutrition & dietetics04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysisRegressionCorrespondence analysisCanonical analysisTask (project management)03 medical and health sciences0404 agricultural biotechnologyDiscriminantConsistency (statistics)Statistics[SDV.IDA]Life Sciences [q-bio]/Food engineeringAlgorithmComputingMilieux_MISCELLANEOUSFood ScienceMathematics
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2020

Abstract A burgeoning body of literature suggests that poor childhood health leads to adverse health outcomes, lower educational attainment and weaker labour market outcomes in adulthood. We focus on an important but under-researched topic, which is the role played by infection-related hospitalization (IRH) in childhood and its links to labour market outcomes later in life. The participants aged 24–30 years in 2001 N = 1706 were drawn from the Young Finns Study, which includes comprehensive registry data on IRHs in childhood at ages 0–18 years. These data are linked to longitudinal registry information on labour market outcomes (2001–2012) and parental background (1980). The estimations wer…

0303 health sciencesMediation (statistics)Earningsbusiness.industry05 social sciencesEconomics Econometrics and Finance (miscellaneous)Affect (psychology)Human capitalEducational attainmentConfidence interval03 medical and health sciences0502 economics and businessOrdinary least squaresMedicineRegistry data050207 economicsbusiness030304 developmental biologyDemographyEconomics &amp; Human Biology
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When age means safety: Data to assess trends and differences on rule knowledge, risk perception, aberrant and positive road behaviors, and traffic cr…

2019

This data article examines the association between age, knowledge of traffic rules, risk perception, risky and positive behaviors on the road and traffic safety outcomes of cyclists. The data was collected using a structured self-administrable and online-based questionnaire, applied to a full sample of 1064 cyclists. The data contains 4 parts: descriptive statistics; graphical trends for each study variable according to age; Post-Hoc (Tukey-HSD) comparisons between cyclists classified in the different age groups; and, finally, the dataset for further explorations in this regard. For further information, it is convenient to read the full article entitled "Explaining Self-Reported Traffic Cra…

0303 health sciencesMultidisciplinaryDescriptive statisticsApplied psychologyHuman factors and ergonomicsPoison controllcsh:Computer applications to medicine. Medical informaticsSuicide preventionOccupational safety and healthRisk perception03 medical and health sciences0302 clinical medicineEmpirical researchInjury preventionlcsh:R858-859.7PsychologyPsychologylcsh:Science (General)030217 neurology & neurosurgery030304 developmental biologylcsh:Q1-390Data in brief
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Comparison of odour sensory profiles performed by two independent trained panels following the same descriptive analysis procedures

2000

Odour sensory profiling of 28 associations of cheese ripening micro-organisms was performed by two panels of 10 assessors on two different sites. Sample preparation, training protocols and references, tasting procedures and scoring were similar in the two laboratories. Panel 2 used 10 attributes and panel 1 used these terms plus 4 extra descriptors. Analysis of variance and multivariate methods (canonical variate analysis, generalised procrustes analysis and STATIS) exhibited differences between assessors within a panel and between panels concerning the use of the scoring scale and the strength of product discrimination by attribute. Panel 1 was more sensitive to fruity notes and panel 2 to…

0303 health sciencesMultivariate statisticsNutrition and DieteticsDescriptive statistics030309 nutrition & dieteticsSensory system04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysisGeneralised procrustes analysis03 medical and health sciences0404 agricultural biotechnologyCanonical variate analysisStatistics[SDV.IDA]Life Sciences [q-bio]/Food engineeringEconometricsWine tastingAnalysis of varianceComputingMilieux_MISCELLANEOUSFood ScienceMathematics
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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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The MAM-CAP table: A new tool for monitoring panel performances

2014

Abstract Assessor performances in sensory analysis are usually represented by three indicators: repeatability, discrimination and agreement. However, assessors can also differ on the range of their scores, the so-called “scaling effect”. Brockhoff, Schlich, and Skovgaard (2013) proposed the mixed assessor model (MAM) which, as the original assessor model ( Brockhoff & Skovgaard, 1994 ), takes this effect into account, but also allows for the product effect to be tested against a new interaction free of the scaling effect. The present paper proposes a unified system for monitoring assessor and panel performances based on the MAM. In addition to the product effect (tested at panel and individ…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsComputer science[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionscalingpanel performance04 agricultural and veterinary sciencesRepeatabilitymixed assessor model040401 food scienceSensory analysisUnified system03 medical and health sciences0404 agricultural biotechnologyScaling effectStatisticsRange (statistics)Table (database)Scaling[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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What are the sensory differences among coffees? Multi-panel analysis of variance and FLASH analysis

1998

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsSensory system04 agricultural and veterinary sciencesVariance (accounting)[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysis03 medical and health sciencesFlash (photography)0404 agricultural biotechnologyPanel analysis[SDV.IDA]Life Sciences [q-bio]/Food engineeringStatisticsmedia_common.cataloged_instanceAnalysis of varianceEuropean unionComputingMilieux_MISCELLANEOUSFood ScienceDemographymedia_commonMathematicsFood Quality and Preference
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Uses of change-over designs and repeated measurements in sensory and consumer studies

1993

Abstract The paper illustrates two statistical methods, the design and analysis of sensory experiments taking into account the effects of serving order and previously assessed treatment and the analysis of experiments with time repeated measurements. Change-over design experiments balance both presentation order and carry-over effects. The proper analysis of variance allows the testing of these effects and the estimation of product means adjusted for carry-over effect. Repeated measurements occur when groups are being compared over time. Either a corrected split-plot or a multivariate analysis of variance (MANOVA) with measurements at different times forming the variable should be adopted t…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsSensory system04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysis03 medical and health sciencesVariable (computer science)0404 agricultural biotechnologyMultivariate analysis of varianceStatistics[SDV.IDA]Life Sciences [q-bio]/Food engineeringGroup effectMain effectAnalysis of variancePsychologyComputingMilieux_MISCELLANEOUSFood ScienceBalance (ability)
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Efficient Online Laplacian Eigenmap Computation for Dimensionality Reduction in Molecular Phylogeny via Optimisation on the Sphere

2019

Reconstructing the phylogeny of large groups of large divergent genomes remains a difficult problem to solve, whatever the methods considered. Methods based on distance matrices are blocked due to the calculation of these matrices that is impossible in practice, when Bayesian inference or maximum likelihood methods presuppose multiple alignment of the genomes, which is itself difficult to achieve if precision is required. In this paper, we propose to calculate new distances for randomly selected couples of species over iterations, and then to map the biological sequences in a space of small dimension based on the partial knowledge of this genome similarity matrix. This mapping is then used …

0303 health sciences[STAT.AP]Statistics [stat]/Applications [stat.AP]Computer scienceDimensionality reductionComputationDimension (graph theory)Complete graphMinimum spanning treeBayesian inferenceQuantitative Biology::Genomics03 medical and health sciencesComputingMethodologies_PATTERNRECOGNITION0302 clinical medicine[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Algorithm030217 neurology & neurosurgeryEigenvalues and eigenvectorsDistance matrices in phylogenyComputingMilieux_MISCELLANEOUS030304 developmental biology
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EHRtemporalVariability: delineating temporal dataset shifts in electronic health records

2020

AbstractBackgroundTemporal variability in healthcare processes or protocols is intrinsic to medicine. Such variability can potentially introduce dataset shifts, a data quality issue when reusing electronic health records (EHRs) for secondary purposes. Temporal dataset shifts can present as trends, abrupt or seasonal changes in the statistical distributions of data over time, being particularly complex to address in multi-modal and highly coded data. These changes, if not delineated, can harm population and data-driven research, such as machine learning. Given that biomedical research repositories are increasingly being populated with large historical data from EHRs, there is a need for spec…

0303 health scienceseducation.field_of_studybusiness.industryComputer sciencePopulationReuseHealth recordsData science3. Good health03 medical and health sciencesIdentification (information)0302 clinical medicineSoftwareData qualityRange (statistics)030212 general & internal medicineUser interfacebusinesseducation030304 developmental biology
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