jepcastel > SelectionBias

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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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1Bias in observational studies of prevalent users: lessons for comparative effectiveness research from a meta-analysis of statins.
G. Danaei, M. Tavakkoli, and M. Hernán. American journal of epidemiology, 175 (4): 250-62 (February 2012)6595<m:linebreak></m:linebreak>GR: R01 HL080644/HL/NHLBI NIH HHS/United States; JID: 7910653; 0 (Hydroxymethylglutaryl-CoA Reductase Inhibitors); OID: NLM: PMC3271813 Available on 02/15/13; PMCR: 2013/02/15 00:00; 2012/01/05 aheadofprint; ppublish;<m:linebreak></m:linebreak>New-user designs; CER; Bias; CV.
2 years ago by @jepcastel
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ComparativeEffectivenessResearch
ConfoundingFactors(Epidemiology)
CoronaryDisease
CoronaryDisease:mortality
CoronaryDisease:prevention&control
Humans
Hydroxymethylglutaryl-CoAReductaseInhibitors
Hydroxymethylglutaryl-CoAReductaseInhibitors:th
MedicationAdherence
Observation
PrimaryPrevention
SecondaryPrevention
SelectionBias
RCT
ComparativeEffectivenessResearchConfoundingFactors(Epidemiology)CoronaryDiseaseCoronaryDisease:mortalityCoronaryDisease:prevention&controlHumansHydroxymethylglutaryl-CoAReductaseInhibitorsHydroxymethylglutaryl-CoAReductaseInhibitors:thMedicationAdherenceObservationPrimaryPreventionSecondaryPreventionSelectionBiasRCT
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1Subverting randomization in controlled trials.
K. Schulz. JAMA : the journal of the American Medical Association, 274 (18): 1456-8 (November 1995)6005<m:linebreak></m:linebreak>LR: 20071115; JID: 7501160; ppublish;<m:linebreak></m:linebreak>Aleatorització; Allocation concealment.
2 years ago by @jepcastel
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RandomAllocation
RandomizedControlledTrialsasTopic:standards
SelectionBias
RCT
RandomAllocationRandomizedControlledTrialsasTopic:standardsSelectionBiasRCT
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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
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1Utility of time-dependent inverse-probability-of-treatment weights to analyze observational cohorts in the intensive care unit.
R. Pirracchio, C. Sprung, D. Payen, and S. Chevret. Journal of clinical epidemiology, 64 (12): 1373-82 (December 2011)6952<m:linebreak></m:linebreak>CI: Copyright (c) 2011; JID: 8801383; 2010/01/30 received; 2011/01/21 revised; 2011/02/21 accepted; 2011/06/11 aheadofprint; ppublish;<m:linebreak></m:linebreak>Anàlisi de dades; Dades longitudinals; Marginal structural models.
2 years ago by @jepcastel
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80andover
Adult
AgeDistribution
Aged
CohortStudies
ConfidenceIntervals
ConfoundingFactors(Epidemiology)
France
France:epidemiology
HospitalMortality
Humans
IntensiveCareUnits
MiddleAged
PatientAdmission
PatientAdmission:statistics&numericaldata
PropensityScore
RiskFactors
SelectionBias
Triage
80andoverAdultAgeDistributionAgedCohortStudiesConfidenceIntervalsConfoundingFactors(Epidemiology)FranceFrance:epidemiologyHospitalMortalityHumansIntensiveCareUnitsMiddleAgedPatientAdmissionPatientAdmission:statistics&numericaldataPropensityScoreRiskFactorsSelectionBiasTriage
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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
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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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1Evaluating non-randomised intervention studies.
J. Deeks, J. Dinnes, R. D'Amico, A. Sowden, C. Sakarovitch, F. Song, M. Petticrew, and D. Altman. Health technology assessment (Winchester, England), 7 (27): iii-x, 1-173 (January 2003)3612<m:linebreak></m:linebreak>Monografies.
2 years ago by @jepcastel
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Bias(Epidemiology)
ClinicalTrialsasTopic
Diagnosis-RelatedGroups
EmpiricalResearch
Humans
InterventionStudies
PatientSelection
QualityControl
ReproducibilityofResults
ResearchDesign
SelectionBias
Bias(Epidemiology)ClinicalTrialsasTopicDiagnosis-RelatedGroupsEmpiricalResearchHumansInterventionStudiesPatientSelectionQualityControlReproducibilityofResultsResearchDesignSelectionBias
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1Biases in meta-analysis.
M. Delgado-Rodríguez, and M. Sillero-Arenas. Medicina clínica, (January 1999)2622<m:linebreak></m:linebreak>Metaanàlisi.
2 years ago by @jepcastel
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ConflictofInterest
Humans
Meta-AnalysisasTopic
Methods
Publishing
Publishing:standards
QualityControl
SelectionBias
StatisticsasTopic
StatisticsasTopic:standards
ConflictofInterestHumansMeta-AnalysisasTopicMethodsPublishingPublishing:standardsQualityControlSelectionBiasStatisticsasTopicStatisticsasTopic:standards
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1In search of equipoise.
V. Chopra, and M. Davis. JAMA : the journal of the American Medical Association, 305 (12): 1234-5 (March 2011)6032<m:linebreak></m:linebreak>Intervenció/placebo.
2 years ago by @jepcastel
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Bias(Epidemiology)
Ethics
PublicationBias
Research
ResearchDesign
ScientificMisconduct
SelectionBias
TherapeuticEquipoise
Bias(Epidemiology)EthicsPublicationBiasResearchResearchDesignScientificMisconductSelectionBiasTherapeuticEquipoise
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1Statistical and nonstatistical significance: implications for health care researchers.

1Bias in observational studies of prevalent users: lessons for comparative effectiveness research from a meta-analysis of statins.

1Subverting randomization in controlled trials.

2Survival analysis in observational studies.

1Utility of time-dependent inverse-probability-of-treatment weights to analyze observational cohorts in the intensive care unit.

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.

1Evaluating non-randomised intervention studies.

1Biases in meta-analysis.

1In search of equipoise.

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