jepcastel > Animals statistical

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1P values: use and misuse in medical literature.
H. Cohen. American journal of hypertension, 24 (1): 18-23 (January 2011)5951<m:linebreak></m:linebreak>GR: KL2 RR 025749/RR/NCRR NIH HHS/United States; GR: TL1 RR 025748/RR/NCRR NIH HHS/United States; GR: UL1 RR 025750/RR/NCRR NIH HHS/United States; JID: 8803676; 2010/10/21 aheadofprint; ppublish; Molt bo!<m:linebreak></m:linebreak>Significació estadística.
2 years ago by @jepcastel
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Animals
ConfidenceIntervals
DataInterpretation
Humans
Models
Probability
ResearchDesign
Statistical
AnimalsConfidenceIntervalsDataInterpretationHumansModelsProbabilityResearchDesignStatistical
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1Interpreting parameters in the logistic regression model with random effects.
K. Larsen, J. Petersen, E. Budtz-Jørgensen, and L. Endahl. Biometrics, 56 (3): 909-14 (September 2000)3544<m:linebreak></m:linebreak>Regressió logística.
2 years ago by @jepcastel
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Animal
Animals
Biological
Female
Male
Models
OddsRatio
RandomAllocation
RegressionAnalysis
Reproduction
SexualBehavior
Statistical
Urodela
AnimalAnimalsBiologicalFemaleMaleModelsOddsRatioRandomAllocationRegressionAnalysisReproductionSexualBehaviorStatisticalUrodela
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1Comments on methodological problems related to the use of biomarkers in clinical practice and research.
D. Longrois, M. Agavriloaia, Y. Devaux, and P. Mertes. Annales françaises d'anesthèsie et de rèanimation, 28 (5): 473-81 (May 2009)5311<m:linebreak></m:linebreak>JID: 8213275; 0 (Biological Markers); RF: 36; 2009/02/09 received; 2009/02/23 accepted; 2009/05/01 aheadofprint; ppublish;<m:linebreak></m:linebreak>Proves diagnòstiques.
2 years ago by @jepcastel
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Animals
BiologicalMarkers
BiomedicalResearch
BiomedicalResearch:methods
BiomedicalResearch:trends
DataInterpretation
Humans
Research
Research:trends
ResearchDesign
Statistical
AnimalsBiologicalMarkersBiomedicalResearchBiomedicalResearch:methodsBiomedicalResearch:trendsDataInterpretationHumansResearchResearch:trendsResearchDesignStatistical
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1Lies, damn lies, and statistics.
S. Yentis. Anaesthesia, 67 (5): 455-6 (May 2012)6819<m:linebreak></m:linebreak>JID: 0370524; CON: Anaesthesia. 2012 May;67(5):521-37. PMID: 22404311; 2012/03/08 aheadofprint; ppublish;<m:linebreak></m:linebreak>Publicació; Ètica.
2 years ago by @jepcastel
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Animals
DataInterpretation
Female
Humans
Male
RandomizedControlledTrialsasTopic:standards
RandomizedControlledTrialsasTopic:statistics
ResearchDesign
ResearchDesign:standards
ResearchDesign:statistics&numericaldata
Statistical
RCT
AnimalsDataInterpretationFemaleHumansMaleRandomizedControlledTrialsasTopic:standardsRandomizedControlledTrialsasTopic:statisticsResearchDesignResearchDesign:standardsResearchDesign:statistics&numericaldataStatisticalRCT
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1Statistics: making sense of what we see.
M. Scott, D. Flaherty, and J. Currall. The Journal of small animal practice, 52 (11): 560-5 (November 2011)6477<m:linebreak></m:linebreak>CI: (c) 2011; JID: 0165053; ppublish;<m:linebreak></m:linebreak>Presentació de dades; Gràfics.
2 years ago by @jepcastel
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Animals
BiomedicalResearch
BiomedicalResearch:statistics&numericaldata
DataCollection
DataCollection:statistics&numericaldata
DataInterpretation
Humans
Statistical
VeterinaryMedicine
VeterinaryMedicine:statistics&numericaldata
AnimalsBiomedicalResearchBiomedicalResearch:statistics&numericaldataDataCollectionDataCollection:statistics&numericaldataDataInterpretationHumansStatisticalVeterinaryMedicineVeterinaryMedicine:statistics&numericaldata
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2Statistical analysis of repeated measures data using SAS procedures.
R. Littell, P. Henry, and C. Ammerman. Journal of animal science, 76 (4): 1216-31 (April 1998)3650<m:linebreak></m:linebreak>Mixed models.
2 years ago by @jepcastel
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AnalysisofVariance
AnimalNutritionalPhysiologicalPhenomena
Animals
Cattle
ComputerSimulation
Least-SquaresAnalysis
Models
Software
Statistical
TimeFactors
AnalysisofVarianceAnimalNutritionalPhysiologicalPhenomenaAnimalsCattleComputerSimulationLeast-SquaresAnalysisModelsSoftwareStatisticalTimeFactors
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1Time-series analysis of the risk factors for haemorrhagic fever with renal syndrome: comparison of statistical models.
W. Hu, K. Mengersen, P. Bi, and S. Tong. Epidemiology and infection, 135 (2): 245-52 (February 2007)4940<m:linebreak></m:linebreak>JID: 8703737; 2006/04/03 accepted; 2006/06/19 aheadofprint; ppublish;<m:linebreak></m:linebreak>Sèries temporals.
2 years ago by @jepcastel
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Animals
China
China:epidemiology
DiseaseReservoirs
EndemicDiseases
HemorrhagicFeverwithRenalSyndrome
HemorrhagicFeverwithRenalSyndrome:epidemiolog
HemorrhagicFeverwithRenalSyndrome:transmissio
Humans
Incidence
Mice
Mice:virology
Models
RiskFactors
RuralPopulation
Seasons
Statistical
TimeFactors
AnimalsChinaChina:epidemiologyDiseaseReservoirsEndemicDiseasesHemorrhagicFeverwithRenalSyndromeHemorrhagicFeverwithRenalSyndrome:epidemiologHemorrhagicFeverwithRenalSyndrome:transmissioHumansIncidenceMiceMice:virologyModelsRiskFactorsRuralPopulationSeasonsStatisticalTimeFactors
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1How and why to prepare a protocol.
J. Antònio. Medicina clínica, 106 (7): 257-62 (February 1996)4355<m:linebreak></m:linebreak>LR: 20071115; PUBM: Print; JID: 0376377; ppublish;<m:linebreak></m:linebreak>Protocol.
2 years ago by @jepcastel
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Animals
ClinicalProtocols
DataInterpretation
Ethics
Humans
Medical
Models
PilotProjects
ResearchDesign
ResearchSupportasTopic
Statistical
Theoretical
AnimalsClinicalProtocolsDataInterpretationEthicsHumansMedicalModelsPilotProjectsResearchDesignResearchSupportasTopicStatisticalTheoretical
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1Should we use one-sided or two-sided P values in tests of significance?
J. Ludbrook. Clinical and experimental pharmacology & physiology, 40 (6): 357-61 (June 2013)Significació estadística.
2 years ago by @jepcastel
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Animals
DataInterpretation
Humans
Probability
ResearchDesign
Statistical
AnimalsDataInterpretationHumansProbabilityResearchDesignStatistical
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1The use and misuse of statistical methodologies in pharmacology research.
M. Marino. Biochemical pharmacology, 87 (1): 78-92 (January 2014)Anàlisi de dades; Introductori.
2 years ago by @jepcastel
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Animals
BiomedicalResearch
BiomedicalResearch:standards
BiomedicalResearch:statistics&numericaldata
DataInterpretation
Humans
Pharmacology
Pharmacology:standards
Pharmacology:statistics&numericaldata
ResearchDesign
ResearchDesign:standards
Statistical
AnimalsBiomedicalResearchBiomedicalResearch:standardsBiomedicalResearch:statistics&numericaldataDataInterpretationHumansPharmacologyPharmacology:standardsPharmacology:statistics&numericaldataResearchDesignResearchDesign:standardsStatistical
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1Too many digits: the presentation of numerical data.
T. Cole. Archives of disease in childhood, 100 (7): 608-9 (July 2015)Presentació de dades.
2 years ago by @jepcastel
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Animals
DataInterpretation
Humans
PeriodicalsasTopic
PeriodicalsasTopic:standards
Publishing
Publishing:standards
Statistical
StatisticsasTopic
StatisticsasTopic:standards
AnimalsDataInterpretationHumansPeriodicalsasTopicPeriodicalsasTopic:standardsPublishingPublishing:standardsStatisticalStatisticsasTopicStatisticsasTopic:standards
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1A solution to dependency: using multilevel analysis to accommodate nested data.
E. Aarts, M. Verhage, J. Veenvliet, C. Dolan, and S. van der Sluis. Nature neuroscience, 17 (4): 491-6 (April 2014)Multilevel.
2 years ago by @jepcastel
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Animals
BiomedicalResearch
BiomedicalResearch:standards
DataInterpretation
Humans
Neurosciences
Neurosciences:standards
ResearchDesign
ResearchDesign:standards
Statistical
AnimalsBiomedicalResearchBiomedicalResearch:standardsDataInterpretationHumansNeurosciencesNeurosciences:standardsResearchDesignResearchDesign:standardsStatistical
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publications (hide)12
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1P values: use and misuse in medical literature.

1Interpreting parameters in the logistic regression model with random effects.

1Comments on methodological problems related to the use of biomarkers in clinical practice and research.

1Lies, damn lies, and statistics.

1Statistics: making sense of what we see.

2Statistical analysis of repeated measures data using SAS procedures.

1Time-series analysis of the risk factors for haemorrhagic fever with renal syndrome: comparison of statistical models.

1How and why to prepare a protocol.

1Should we use one-sided or two-sided P values in tests of significance?

1The use and misuse of statistical methodologies in pharmacology research.

1Too many digits: the presentation of numerical data.

1A solution to dependency: using multilevel analysis to accommodate nested data.

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