jepcastel > SelectionBias statistical

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1Statistical and nonstatistical significance: implications for health care researchers.
H. Baghi, S. Noorbaloochi, and J. Moore. Quality management in health care, 16 (2): 104-12 (2007)5152<m:linebreak></m:linebreak>JID: 9306156; RF: 65; ppublish;<m:linebreak></m:linebreak>Significació estadística.
2 years ago by @jepcastel
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DataInterpretation
HealthCare
HealthCare:statistics&numericaldata
HealthServicesResearch
HealthServicesResearch:statistics&numericald
Humans
PeerReview
QualityAssurance
Research
SelectionBias
SensitivityandSpecificity
Statistical
TreatmentOutcome
DataInterpretationHealthCareHealthCare:statistics&numericaldataHealthServicesResearchHealthServicesResearch:statistics&numericaldHumansPeerReviewQualityAssuranceResearchSelectionBiasSensitivityandSpecificityStatisticalTreatmentOutcome
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2Survival analysis in observational studies.
K. Bull, and D. Spiegelhalter. Statistics in medicine, 16 (9): 1041-74 (May 1997)2873<m:linebreak></m:linebreak>Anàlisi de supervivència.
2 years ago by @jepcastel
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Algorithms
Humans
LogisticModels
MathematicalComputing
Models
OutcomeandProcessAssessment(HealthCare)
OutcomeandProcessAssessment(HealthCare):stat
ProportionalHazardsModels
PulmonaryAtresia
RandomAllocation
SelectionBias
Statistical
StatisticsasTopic
StatisticsasTopic:methods
SurvivalAnalysis
TimeFactors
AlgorithmsHumansLogisticModelsMathematicalComputingModelsOutcomeandProcessAssessment(HealthCare)OutcomeandProcessAssessment(HealthCare):statProportionalHazardsModelsPulmonaryAtresiaRandomAllocationSelectionBiasStatisticalStatisticsasTopicStatisticsasTopic:methodsSurvivalAnalysisTimeFactors
(0)
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1Compound treatments, transportability, and the structural causal model: the power and simplicity of causal graphs.
M. Petersen. Epidemiology (Cambridge, Mass.), 22 (3): 378-81 (May 2011)6099<m:linebreak></m:linebreak>Editorial; NLM Journal Code: a2t, 9009644;.
2 years ago by @jepcastel
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Causality
CombinedModalityTherapy
DecisionMaking
EpidemiologicResearchDesign
EpidemiologicStudies
Female
Humans
Male
Models
Observation
PatientSelection
SelectionBias
SensitivityandSpecificity
Statistical
RCT
CausalityCombinedModalityTherapyDecisionMakingEpidemiologicResearchDesignEpidemiologicStudiesFemaleHumansMaleModelsObservationPatientSelectionSelectionBiasSensitivityandSpecificityStatisticalRCT
(0)
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1Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods.
T. Stukel, E. Fisher, D. Wennberg, D. Alter, D. Gottlieb, and M. Vermeulen. JAMA : the journal of the American Medical Association, 297 (3): 278-85 (January 2007)4085<m:linebreak></m:linebreak>LR: 20070518; PUBM: Print; GR: 1P01-AG19783-01/AG/NIA; JID: 7501160; CIN: JAMA. 2007 Jan 17;297(3):314-6. PMID: 17227985; CIN: JAMA. 2007 May 16;297(19):2077-8; auhor reply 2078. PMID: 17507341; CIN: JAMA. 2007 May 16;297(19):2077; auhor reply 2078. PMID: 17507342; ppublish;<m:linebreak></m:linebreak>Variables instrumentals.
2 years ago by @jepcastel
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80andover
Aged
CardiacCatheterization
CohortStudies
Female
Humans
Male
Models
MyocardialInfarction
MyocardialInfarction:mortality
MyocardialInfarction:therapy
Observation
Prognosis
RiskAdjustment
SelectionBias
Statistical
80andoverAgedCardiacCatheterizationCohortStudiesFemaleHumansMaleModelsMyocardialInfarctionMyocardialInfarction:mortalityMyocardialInfarction:therapyObservationPrognosisRiskAdjustmentSelectionBiasStatistical
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1Time-dependent study entries and exposures in cohort studies can easily be sources of different and avoidable types of bias.
M. Wolkewitz, A. Allignol, S. Harbarth, G. de Angelis, M. Schumacher, and J. Beyersmann. Journal of clinical epidemiology, 65 (11): 1171-80 (November 2012)6935<m:linebreak></m:linebreak>Anàlisi de supervivència; Bias; Immortal time bias; Introductori.
2 years ago by @jepcastel
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Abortion
AlzheimerDisease
AlzheimerDisease:mortality
CohortStudies
CoronaryDisease
CoronaryDisease:epidemiology
CrossInfection
CrossInfection:epidemiology
DataInterpretation
DiabetesMellitus
DiabetesMellitus:epidemiology
Female
HeartTransplantation
HeartTransplantation:mortality
Humans
LengthofStay
LengthofStay:statistics&numericaldata
LiverCirrhosis
LiverCirrhosis:mortality
Pregnancy
ProportionalHazardsModels
SelectionBias
Spontaneous
Spontaneous:epidemiology
Statistical
SurvivalAnalysis
TimeFactors
AbortionAlzheimerDiseaseAlzheimerDisease:mortalityCohortStudiesCoronaryDiseaseCoronaryDisease:epidemiologyCrossInfectionCrossInfection:epidemiologyDataInterpretationDiabetesMellitusDiabetesMellitus:epidemiologyFemaleHeartTransplantationHeartTransplantation:mortalityHumansLengthofStayLengthofStay:statistics&numericaldataLiverCirrhosisLiverCirrhosis:mortalityPregnancyProportionalHazardsModelsSelectionBiasSpontaneousSpontaneous:epidemiologyStatisticalSurvivalAnalysisTimeFactors
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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
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1Epidemiologic methods: the ärt" in the state of the art.
D. Kleinbaum. Journal of clinical epidemiology, 55 (12): 1196-200 (December 2002)2974<m:linebreak></m:linebreak>Disseny.
2 years ago by @jepcastel
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Biological
EpidemiologicStudies
Humans
Models
ResearchDesign
SelectionBias
Statistical
BiologicalEpidemiologicStudiesHumansModelsResearchDesignSelectionBiasStatistical
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1Secondary analysis of clinical trials--a cautionary note.
J. Marler. Progress in cardiovascular diseases, 54 (4): 335-7 (2012)7058<m:linebreak></m:linebreak>CI: Published by Elsevier Inc.; JID: 0376442; ppublish;.
2 years ago by @jepcastel
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ClinicalTrialsasTopic
ClinicalTrialsasTopic:ethics
ClinicalTrialsasTopic:standards
DataInterpretation
Humans
SelectionBias
Statistical
ClinicalTrialsasTopicClinicalTrialsasTopic:ethicsClinicalTrialsasTopic:standardsDataInterpretationHumansSelectionBiasStatistical
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1Adjusting for selection effects in epidemiologic studies: why sensitivity analysis is the only "solution".
S. Geneletti, A. Mason, and N. Best. Epidemiology (Cambridge, Mass.), 22 (1): 36-9 (January 2011)6260<m:linebreak></m:linebreak>LR: 20110518; JID: 9009644; CON: Epidemiology. 2011 Jan;22(1):27-35. PMID: 21150352; CON: Epidemiology. 2011 Jan;22(1):18-26. PMID: 21150351; CIN: Epidemiology. 2011 May;22(3):446. PMID: 21464660; ppublish;.
2 years ago by @jepcastel
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Cross-SectionalStudies
EpidemiologicResearchDesign
Humans
Models
SelectionBias
SensitivityandSpecificity
Statistical
Cross-SectionalStudiesEpidemiologicResearchDesignHumansModelsSelectionBiasSensitivityandSpecificityStatistical
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1Combining ecological and individual variables to reduce confounding by indication: case study--subarachnoid hemorrhage treatment.
S. Johnston. Journal of clinical epidemiology, 53 (12): 1236-41 (December 2000)2724<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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Bias(Epidemiology)
CohortStudies
ConfoundingFactors(Epidemiology)
EpidemiologicResearchDesign
Female
HospitalMortality
Humans
Male
MiddleAged
Models
OutcomeAssessment(HealthCare)
PatientDischarge
PatientDischarge:statistics&numericaldata
SelectionBias
Statistical
SubarachnoidHemorrhage
SubarachnoidHemorrhage:mortality
SubarachnoidHemorrhage:therapy
UnitedStates
UnitedStates:epidemiology
Bias(Epidemiology)CohortStudiesConfoundingFactors(Epidemiology)EpidemiologicResearchDesignFemaleHospitalMortalityHumansMaleMiddleAgedModelsOutcomeAssessment(HealthCare)PatientDischargePatientDischarge:statistics&numericaldataSelectionBiasStatisticalSubarachnoidHemorrhageSubarachnoidHemorrhage:mortalitySubarachnoidHemorrhage:therapyUnitedStatesUnitedStates:epidemiology
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1Checklist for the qualitative evaluation of clinical studies with particular focus on external validity and model validity.
G. Bornhöft, S. Maxion-Bergemann, U. Wolf, G. Kienle, A. Michalsen, H. Vollmar, S. Gilbertson, and P. Matthiessen. BMC medical research methodology, (January 2006)5510<m:linebreak></m:linebreak>LR: 20091118; JID: 100968545; OID: NLM: PMC1764896; 2006/06/27 received; 2006/12/11 accepted; 2006/12/11 aheadofprint; epublish;<m:linebreak></m:linebreak>Critical appraisal; Checklist.
2 years ago by @jepcastel
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Bias(Epidemiology)
ClinicalTrialsasTopic
ClinicalTrialsasTopic:methods
ClinicalTrialsasTopic:standards
DataInterpretation
EvaluationStudiesasTopic
GuidelinesasTopic
Humans
InformedConsent
PatientSelection
QualityControl
ReferenceStandards
ReproducibilityofResults
ResearchDesign
SelectionBias
Statistical
TreatmentOutcome
Bias(Epidemiology)ClinicalTrialsasTopicClinicalTrialsasTopic:methodsClinicalTrialsasTopic:standardsDataInterpretationEvaluationStudiesasTopicGuidelinesasTopicHumansInformedConsentPatientSelectionQualityControlReferenceStandardsReproducibilityofResultsResearchDesignSelectionBiasStatisticalTreatmentOutcome
(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
Child
CohortStudies
EpidemiologicStudies
Humans
IodineRadioisotopes
IodineRadioisotopes:adverseeffects
LikelihoodFunctions
Models
Neoplasms
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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2Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review
M. Ali, R. Groenwold, S. Belitser, W. Pestman, A. Hoes, K. Roes, A. de Boer, and O. Klungel. Journal of Clinical Epidemiology, 68 (2): 122-131 (February 2015)Propensity score.
2 years ago by @jepcastel
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AnalysisofVariance
DataInterpretation
Humans
PatientSelection
PropensityScore
ResearchDesign
SelectionBias
Statistical
AnalysisofVarianceDataInterpretationHumansPatientSelectionPropensityScoreResearchDesignSelectionBiasStatistical
(0)
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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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1Statistical and nonstatistical significance: implications for health care researchers.

2Survival analysis in observational studies.

1Compound treatments, transportability, and the structural causal model: the power and simplicity of causal graphs.

1Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods.

1Time-dependent study entries and exposures in cohort studies can easily be sources of different and avoidable types of bias.

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

1Epidemiologic methods: the ärt" in the state of the art.

1Secondary analysis of clinical trials--a cautionary note.

1Adjusting for selection effects in epidemiologic studies: why sensitivity analysis is the only "solution".

1Combining ecological and individual variables to reduce confounding by indication: case study--subarachnoid hemorrhage treatment.

1Checklist for the qualitative evaluation of clinical studies with particular focus on external validity and model validity.

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

2Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review

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

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