tag :: SampleSize Statistical models

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1Sample size and power.
J. Haas. American journal of infection control, 40 (8): 766-7 (October 2012)7564<m:linebreak></m:linebreak>CI: Copyright (c) 2012; JID: 8004854; 2012/05/29 received; 2012/05/29 accepted; ppublish;<m:linebreak></m:linebreak>Sample size; Infeccioses; Introductori.
2 years ago by @jepcastel
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DataInterpretation
Humans
Models
Probability
ResearchDesign
SampleSize
Software
Statistical
DataInterpretationHumansModelsProbabilityResearchDesignSampleSizeSoftwareStatistical
(0)
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1Regression modeling strategies.
E. Núñez, E. Steyerberg, and J. Núñez. Revista española de cardiología, 64 (6): 501-7 (June 2011)6209<m:linebreak></m:linebreak>CI: Copyright (c) 2011; JID: 0404277; 2011/01/27 received; 2011/01/29 accepted; 2011/04/29 aheadofprint; ppublish;.
2 years ago by @jepcastel
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DataInterpretation
EffectModifier
EndpointDetermination
Epidemiologic
Forecasting
Humans
LogisticModels
Models
RegressionAnalysis
SampleSize
Statistical
DataInterpretationEffectModifierEndpointDeterminationEpidemiologicForecastingHumansLogisticModelsModelsRegressionAnalysisSampleSizeStatistical
(0)
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1A practical guide to multilevel modeling.
J. Peugh. Journal of school psychology, 48 (1): 85-112 (February 2010)5521<m:linebreak></m:linebreak>JID: 0050303; RF: 31; 2009/09/07 received; 2009/09/08 accepted; 2009/10/06 aheadofprint; ppublish;<m:linebreak></m:linebreak>Multilevel.
2 years ago by @jepcastel
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Adolescent
AnalysisofVariance
Cross-SectionalStudies
DataInterpretation
EducationalStatus
Female
Humans
LikelihoodFunctions
LongitudinalStudies
Male
Models
MultilevelAnalysis
MultilevelAnalysis:methods
ResearchDesign
ResearchDesign:statistics&numericaldata
SampleSize
Schools
SocioeconomicFactors
Statistical
Students
Students:psychology
Students:statistics&numericaldata
AdolescentAnalysisofVarianceCross-SectionalStudiesDataInterpretationEducationalStatusFemaleHumansLikelihoodFunctionsLongitudinalStudiesMaleModelsMultilevelAnalysisMultilevelAnalysis:methodsResearchDesignResearchDesign:statistics&numericaldataSampleSizeSchoolsSocioeconomicFactorsStatisticalStudentsStudents:psychologyStudents:statistics&numericaldata
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1Assessment of futility in clinical trials.
S. Snapinn, M. Chen, Q. Jiang, and T. Koutsoukos. Pharmaceutical statistics, 5 (4): 273-81 (2006)7401<m:linebreak></m:linebreak>LR: 20071115; JID: 101201192; ppublish;<m:linebreak></m:linebreak>Mesures de contrast; RCT.
2 years ago by @jepcastel
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ClinicalTrialsasTopic
ClinicalTrialsasTopic:methods
DataInterpretation
EndpointDetermination
Ethics
EvaluationStudiesasTopic
Humans
Medical
Models
MulticenterStudiesasTopic
MyocardialInfarction
MyocardialInfarction:drugtherapy
Probability
ResearchDesign
SampleSize
Statistical
StochasticProcesses
TimeFactors
RCT
ClinicalTrialsasTopicClinicalTrialsasTopic:methodsDataInterpretationEndpointDeterminationEthicsEvaluationStudiesasTopicHumansMedicalModelsMulticenterStudiesasTopicMyocardialInfarctionMyocardialInfarction:drugtherapyProbabilityResearchDesignSampleSizeStatisticalStochasticProcessesTimeFactorsRCT
(0)
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1Statistics in brief: Statistical power: what is it and when should it be used?
F. Dorey. Clinical orthopaedics and related research, 469 (2): 619-20 (February 2011)6031<m:linebreak></m:linebreak>JID: 0075674; ppublish;<m:linebreak></m:linebreak>Sample size; Power.
2 years ago by @jepcastel
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ClinicalTrialsasTopic
DataInterpretation
Humans
MathematicalComputing
Models
ProbabilityTheory
SampleSize
Statistical
ClinicalTrialsasTopicDataInterpretationHumansMathematicalComputingModelsProbabilityTheorySampleSizeStatistical
(0)
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1Selecting a sample size for studies with repeated measures.
Y. Guo, H. Logan, D. Glueck, and K. Muller. BMC medical research methodology, 13 (1): 100 (January 2013)7412<m:linebreak></m:linebreak>JID: 100968545; 2013/04/04 received; 2013/07/31 accepted; 2013/07/31 aheadofprint; aheadofprint;<m:linebreak></m:linebreak>Sample size; Dades longitudinals.
2 years ago by @jepcastel
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AnalysisofVariance
DataInterpretation
Humans
Models
PainMeasurement
ReproducibilityofResults
ResearchDesign
SampleSize
Software
Statistical
AnalysisofVarianceDataInterpretationHumansModelsPainMeasurementReproducibilityofResultsResearchDesignSampleSizeSoftwareStatistical
(0)
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1Therapeutic equivalence: fallacies and falsification.
A. Garrett. Statistics in medicine, 22 (5): 741-62 (March 2003)3097<m:linebreak></m:linebreak>Tests d'equivalència.
2 years ago by @jepcastel
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DrugEvaluation
DrugEvaluation:legislation&jurisprudence
DrugEvaluation:methods
Humans
Models
OddsRatio
ResearchDesign
SampleSize
Statistical
TherapeuticEquivalency
RCT
DrugEvaluationDrugEvaluation:legislation&jurisprudenceDrugEvaluation:methodsHumansModelsOddsRatioResearchDesignSampleSizeStatisticalTherapeuticEquivalencyRCT
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1Randomizing research participants: promoting balance and concealment in small samples.
E. Matthews, P. Cook, M. Terada, and M. Aloia. Research in nursing & health, 33 (3): 243-53 (June 2010)5642<m:linebreak></m:linebreak>CI: (c) 2010; GR: 1UL1RR025780-01/RR/NCRR NIH HHS/United States; GR: NR010587/NR/NINR NIH HHS/United States; GR: NR04817/NR/NINR NIH HHS/United States; JID: 7806136; ppublish;<m:linebreak></m:linebreak>Aleatorització.
2 years ago by @jepcastel
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Bias(Epidemiology)
Biometry
Biometry:methods
Humans
Models
RandomizedControlledTrialsasTopic:statistics
SampleSize
Statistical
RCT
Bias(Epidemiology)BiometryBiometry:methodsHumansModelsRandomizedControlledTrialsasTopic:statisticsSampleSizeStatisticalRCT
(0)
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1Including all individuals is not enough: lessons for intention-to-treat analysis.
I. White, J. Carpenter, and N. Horton. Clinical trials (London, England), 9 (4): 396-407 (August 2012)6967<m:linebreak></m:linebreak>GR: 5R01MH054693-11/MH/NIMH NIH HHS/United States; GR: R01 MH054693-12/MH/NIMH NIH HHS/United States; GR: U105260558/Medical Research Council/United Kingdom; JID: 101197451; NIHMS367921; OID: NLM: NIHMS367921; OID: NLM: PMC3428470; PMCR: 2013/01/02 00:00; 2012/07/02 aheadofprint; ppublish;<m:linebreak></m:linebreak>Intention to treat.
2 years ago by @jepcastel
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DataInterpretation
Humans
IntentiontoTreatAnalysis
IntentiontoTreatAnalysis:methods
IntentiontoTreatAnalysis:statistics&numerica
LikelihoodFunctions
LosttoFollow-Up
Models
PatientDropouts
SampleSize
SelectionBias
Statistical
TreatmentOutcome
DataInterpretationHumansIntentiontoTreatAnalysisIntentiontoTreatAnalysis:methodsIntentiontoTreatAnalysis:statistics&numericaLikelihoodFunctionsLosttoFollow-UpModelsPatientDropoutsSampleSizeSelectionBiasStatisticalTreatmentOutcome
(0)
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1Modelling ordered categorical data: recent advances and future challenges.
A. Agresti. Statistics in medicine, 18 (17-18): 2191-207 (1999)4075<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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BayesTheorem
Biological
DataInterpretation
Humans
LikelihoodFunctions
LogisticModels
Models
ObserverVariation
SampleSize
Statistical
BayesTheoremBiologicalDataInterpretationHumansLikelihoodFunctionsLogisticModelsModelsObserverVariationSampleSizeStatistical
(0)
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1Methodological quality of pharmacogenetic studies: issues of concern.
A. Jorgensen, and P. Williamson. Statistics in medicine, 27 (30): 6547-69 (December 2008)4879<m:linebreak></m:linebreak>CI: Copyright 2008; JID: 8215016; ppublish;<m:linebreak></m:linebreak>Epidemiologia genètica.
2 years ago by @jepcastel
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EmpiricalResearch
GeneticVariation
Genome
Genotype
Human
Humans
Models
Pharmacogenetics
Polymorphism
ReproducibilityofResults
ResearchDesign
ResearchDesign:standards
SampleSize
SingleNucleotide
Statistical
EmpiricalResearchGeneticVariationGenomeGenotypeHumanHumansModelsPharmacogeneticsPolymorphismReproducibilityofResultsResearchDesignResearchDesign:standardsSampleSizeSingleNucleotideStatistical
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1Sample size and power calculations based on generalized linear mixed models with correlated binary outcomes.
Q. Dang, S. Mazumdar, and P. Houck. Computer methods and programs in biomedicine, 91 (2): 122-7 (August 2008)5678<m:linebreak></m:linebreak>GR: P30 MH 71944/MH/NIMH NIH HHS/United States; JID: 8506513; 2007/08/21 received; 2008/03/10 revised; 2008/03/11 accepted; 2008/05/06 aheadofprint; ppublish;.
2 years ago by @jepcastel
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Algorithms
Biological
Biometry
Biometry:methods
ComputerSimulation
DataInterpretation
LinearModels
LogisticModels
Models
OutcomeAssessment(HealthCare)
OutcomeAssessment(HealthCare):methods
SampleSize
Statistical
AlgorithmsBiologicalBiometryBiometry:methodsComputerSimulationDataInterpretationLinearModelsLogisticModelsModelsOutcomeAssessment(HealthCare)OutcomeAssessment(HealthCare):methodsSampleSizeStatistical
(0)
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1The role of the minimum clinically important difference and its impact on designing a trial.
C. Chuang-Stein, S. Kirby, I. Hirsch, and G. Atkinson. Pharmaceutical statistics, 10 (3): 250-6 (2011)6155<m:linebreak></m:linebreak>MDCI; Sample size; Tamaño del efecto.
2 years ago by @jepcastel
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ClinicalTrialsasTopic
ClinicalTrialsasTopic:statistics&numericald
DataInterpretation
Humans
Models
Probability
ResearchDesign
SampleSize
Statistical
Theoretical
TreatmentOutcome
ClinicalTrialsasTopicClinicalTrialsasTopic:statistics&numericaldDataInterpretationHumansModelsProbabilityResearchDesignSampleSizeStatisticalTheoreticalTreatmentOutcome
(0)
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1Analysis of continuous data from small samples.
J. Bland, and D. Altman. BMJ (Clinical research ed.), 338 (apr06_1): a3166 (January 2009)5026<br/>Anàlisi de dades.
2 years ago by @jepcastel
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DataInterpretation
Models
SampleSize
Statistical
DataInterpretationModelsSampleSizeStatistical
(0)
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1A guide to the design and analysis of small clinical studies.
F. Kianifard, and M. Islam. Pharmaceutical statistics, 10 (4): 363-8 (2011)6089<m:linebreak></m:linebreak>JID: 101201192; aheadofprint;<m:linebreak></m:linebreak>Disseny; Estudi pilot; Estudi petit.
2 years ago by @jepcastel
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Bias(Epidemiology)
ClinicalTrialsasTopic
ClinicalTrialsasTopic:ethics
ClinicalTrialsasTopic:methods
DataInterpretation
DrugIndustry
DrugIndustry:methods
Humans
InstituteofMedicine(U.S.)
Models
RandomizedControlledTrialsasTopic:ethics
ResearchDesign
SampleSize
Statistical
UnitedStates
RCT
Bias(Epidemiology)ClinicalTrialsasTopicClinicalTrialsasTopic:ethicsClinicalTrialsasTopic:methodsDataInterpretationDrugIndustryDrugIndustry:methodsHumansInstituteofMedicine(U.S.)ModelsRandomizedControlledTrialsasTopic:ethicsResearchDesignSampleSizeStatisticalUnitedStatesRCT
(0)
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1Estimating sample size for epidemiologic studies: the impact of ignoring exposure measurement uncertainty.
O. Devine, and J. Smith. Statistics in medicine, 17 (12): 1375-89 (June 1998)2463.
2 years ago by @jepcastel
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Adolescent
AgeFactors
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CohortStudies
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Humans
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IodineRadioisotopes:adverseeffects
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Radiation-Induced
Radiation-Induced:epidemiology
Radiation-Induced:etiology
RadiationDosage
RiskFactors
SampleSize
SelectionBias
Statistical
ThyroidNeoplasms
ThyroidNeoplasms:epidemiology
ThyroidNeoplasms:etiology
AdolescentAgeFactorsChildCohortStudiesEpidemiologicStudiesHumansIodineRadioisotopesIodineRadioisotopes:adverseeffectsLikelihoodFunctionsModelsNeoplasmsRadiation-InducedRadiation-Induced:epidemiologyRadiation-Induced:etiologyRadiationDosageRiskFactorsSampleSizeSelectionBiasStatisticalThyroidNeoplasmsThyroidNeoplasms:epidemiologyThyroidNeoplasms:etiology
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1The multiple imputation method: a case study involving secondary data analysis.
S. Walani, and C. Cleland. Nurse researcher, 22 (5): 13-9 (May 2015)Dades censurades; Imputació múltiple.
2 years ago by @jepcastel
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Adult
DataInterpretation
EducationalMeasurement
EducationalMeasurement:statistics&numericalda
Female
Humans
International
International:statistics&numericaldata
Male
MiddleAged
Models
Nurses
Nurses:statistics&numericaldata
NursingResearch
NursingResearch:methods
RegressionAnalysis
ResearchDesign
SalariesandFringeBenefits
SalariesandFringeBenefits:statistics&numeric
SampleSize
Statistical
UnitedStates
AdultDataInterpretationEducationalMeasurementEducationalMeasurement:statistics&numericaldaFemaleHumansInternationalInternational:statistics&numericaldataMaleMiddleAgedModelsNursesNurses:statistics&numericaldataNursingResearchNursingResearch:methodsRegressionAnalysisResearchDesignSalariesandFringeBenefitsSalariesandFringeBenefits:statistics&numericSampleSizeStatisticalUnitedStates
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1Use of stabilized inverse propensity scores as weights to directly estimate relative risk and its confidence intervals.
S. Xu, C. Ross, M. Raebel, S. Shetterly, C. Blanchette, and D. Smith. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 13 (2): 273-7 (January 2010)Mesures d'associació; IPTW; Risc relatiu.
2 years ago by @jepcastel
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Ambulatory
Angiotensin-ConvertingEnzymeInhibitors
Angiotensin-ConvertingEnzymeInhibitors:therapeu
ComputerSimulation
ConfidenceIntervals
DiabetesComplications
DiabetesComplications:diagnosis
DiabetesComplications:drugtherapy
DiabetesComplications:prevention&control
Female
Humans
Hyperkalemia
Hyperkalemia:drugtherapy
Hyperkalemia:etiology
Hyperkalemia:prevention&control
Male
MiddleAged
Models
Monitoring
Potassium
Potassium:blood
PropensityScore
Risk
SampleSize
SelectionBias
Statistical
AmbulatoryAngiotensin-ConvertingEnzymeInhibitorsAngiotensin-ConvertingEnzymeInhibitors:therapeuComputerSimulationConfidenceIntervalsDiabetesComplicationsDiabetesComplications:diagnosisDiabetesComplications:drugtherapyDiabetesComplications:prevention&controlFemaleHumansHyperkalemiaHyperkalemia:drugtherapyHyperkalemia:etiologyHyperkalemia:prevention&controlMaleMiddleAgedModelsMonitoringPotassiumPotassium:bloodPropensityScoreRiskSampleSizeSelectionBiasStatistical
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1Sample size and power.

1Regression modeling strategies.

1A practical guide to multilevel modeling.

1Assessment of futility in clinical trials.

1Statistics in brief: Statistical power: what is it and when should it be used?

1Selecting a sample size for studies with repeated measures.

1Therapeutic equivalence: fallacies and falsification.

1Randomizing research participants: promoting balance and concealment in small samples.

1Including all individuals is not enough: lessons for intention-to-treat analysis.

1Modelling ordered categorical data: recent advances and future challenges.

1Methodological quality of pharmacogenetic studies: issues of concern.

1Sample size and power calculations based on generalized linear mixed models with correlated binary outcomes.

1The role of the minimum clinically important difference and its impact on designing a trial.

1Analysis of continuous data from small samples.

1A guide to the design and analysis of small clinical studies.

1Estimating sample size for epidemiologic studies: the impact of ignoring exposure measurement uncertainty.

1The multiple imputation method: a case study involving secondary data analysis.

1Use of stabilized inverse propensity scores as weights to directly estimate relative risk and its confidence intervals.

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