jepcastel > OutcomeAssessment(HealthCare):methods

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Publikationen (verstecken)39
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1Clinical and outcome research in oncology. The need for integration.
G. Apolone. Health and quality of life outcomes, (Januar 2003)5220<m:linebreak></m:linebreak>JID: 101153626; 0 (Antineoplastic Agents); OID: NLM: PMC155672; 2003/02/27 received; 2003/04/03 accepted; 2003/04/03 aheadofprint; epublish;<m:linebreak></m:linebreak>Mesures de resultats.
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DrugApproval
AntineoplasticAgents
Europe
Humans
MedicalOncology
UnitedStatesFoodandDrugAdministration
Neoplasms
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
Neoplasms:drugtherapy
BiomedicalResearch
QualityofLife
BiomedicalResearch:methods
AntineoplasticAgents:therapeuticuse
ClinicalTrialsasTopic
UnitedStates
DrugApprovalAntineoplasticAgentsEuropeHumansMedicalOncologyUnitedStatesFoodandDrugAdministrationNeoplasmsOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)Neoplasms:drugtherapyBiomedicalResearchQualityofLifeBiomedicalResearch:methodsAntineoplasticAgents:therapeuticuseClinicalTrialsasTopicUnitedStates
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1Good research practices for comparative effectiveness research: defining, reporting and interpreting nonrandomized studies of treatment effects using secondary data sources: the ISPOR Good Research Practices for Retrospective Database Analysis Task Force
M. Berger, M. Mamdani, D. Atkins, und M. Johnson. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 12 (8): 1044-52 (November 2009)5730<m:linebreak></m:linebreak>JID: 100883818; 0 (Prescription Drugs); CIN: Value Health. 2009 Nov;12(8):1042-3. PMID: 19818061; 2009/09/29 aheadofprint; ppublish;<m:linebreak></m:linebreak>CER.
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DataCollection:methods
Economics
RCT
PrescriptionDrugs:standards
Humans
OutcomeAssessment(HealthCare):methods
Pharmaceutical
Research
Internationality
OutcomeAssessment(HealthCare)
DataInterpretation
DecisionSupportTechniques
RetrospectiveStudies
DecisionMaking
ComparativeEffectivenessResearch:standards
Factual
PrescriptionDrugs
Statistical
ComparativeEffectivenessResearch
ComparativeEffectivenessResearch:methods
DataCollection
Databases
UnitedStates
DataCollection:methodsEconomicsRCTPrescriptionDrugs:standardsHumansOutcomeAssessment(HealthCare):methodsPharmaceuticalResearchInternationalityOutcomeAssessment(HealthCare)DataInterpretationDecisionSupportTechniquesRetrospectiveStudiesDecisionMakingComparativeEffectivenessResearch:standardsFactualPrescriptionDrugsStatisticalComparativeEffectivenessResearchComparativeEffectivenessResearch:methodsDataCollectionDatabasesUnitedStates
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1The evidence provided by a single trial is less reliable than its statistical analysis suggests.
G. Borm, O. Lemmers, J. Fransen, und R. Donders. Journal of clinical epidemiology, 62 (7): 711-715.e1 (Juli 2009)5307<m:linebreak></m:linebreak>JID: 8801383; 0 (Antirheumatic Agents); CIN: J Clin Epidemiol. 2009 Aug;62(8):886-7; author reply 887-9. PMID: 19481419; 2008/02/04 received; 2008/07/29 revised; 2008/09/22 accepted; 2009/01/25 aheadofprint; ppublish;<m:linebreak></m:linebreak>Límits de confiança.
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Evidence-BasedMedicine:standards
PatientSelection
ResearchDesign
Humans
Evidence-BasedMedicine
Leukemia
Arthritis
OutcomeAssessment(HealthCare):methods
Radiation-Induced
OutcomeAssessment(HealthCare)
DataInterpretation
Radiation-Induced:etiology
AntirheumaticAgents
AntirheumaticAgents:therapeuticuse
Radiation-Induced:epidemiology
ClinicalTrialsasTopic:standards
Rheumatoid:drugtherapy
ElectromagneticFields
Statistical
ClinicalTrialsasTopic
ElectromagneticFields:adverseeffects
Rheumatoid
Evidence-BasedMedicine:standardsPatientSelectionResearchDesignHumansEvidence-BasedMedicineLeukemiaArthritisOutcomeAssessment(HealthCare):methodsRadiation-InducedOutcomeAssessment(HealthCare)DataInterpretationRadiation-Induced:etiologyAntirheumaticAgentsAntirheumaticAgents:therapeuticuseRadiation-Induced:epidemiologyClinicalTrialsasTopic:standardsRheumatoid:drugtherapyElectromagneticFieldsStatisticalClinicalTrialsasTopicElectromagneticFields:adverseeffectsRheumatoid
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1Sample size and power calculations based on generalized linear mixed models with correlated binary outcomes.
Q. Dang, S. Mazumdar, und 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;.
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OutcomeAssessment(HealthCare):methods
LogisticModels
Biological
OutcomeAssessment(HealthCare)
DataInterpretation
ComputerSimulation
Biometry
LinearModels
SampleSize
Algorithms
Biometry:methods
Statistical
Models
OutcomeAssessment(HealthCare):methodsLogisticModelsBiologicalOutcomeAssessment(HealthCare)DataInterpretationComputerSimulationBiometryLinearModelsSampleSizeAlgorithmsBiometry:methodsStatisticalModels
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1Patient-reported outcomes and the mandate of measurement.
G. Donaldson. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 17 (10): 1303-13 (Dezember 2008)Mesures de resultats; Límits de confiança; Introductori.
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ReproducibilityofResults
Humans
ConfidenceIntervals
OutcomeAssessment(HealthCare):methods
PatientSatisfaction
OutcomeAssessment(HealthCare)
HealthStatus
ReproducibilityofResultsHumansConfidenceIntervalsOutcomeAssessment(HealthCare):methodsPatientSatisfactionOutcomeAssessment(HealthCare)HealthStatus
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1Re-formulating non-inferiority trials as superiority trials: The case of binary outcomes.
V. Durkalski, und V. Berger. Biometrical journal. Biometrische Zeitschrift, 51 (1): 185-92 (Februar 2009)4771<m:linebreak></m:linebreak>CP: Copyright © 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim; PN: 0323-3847;.
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ControlledClinicalTrialsasTopic:methods
Humans
ControlledClinicalTrialsasTopic
Biometry:methods
OutcomeAssessment(HealthCare):methods
Statistical
EpidemiologicResearchDesign
OutcomeAssessment(HealthCare)
DataInterpretation
EndpointDetermination
EndpointDetermination:methods
Biometry
ControlledClinicalTrialsasTopic:methodsHumansControlledClinicalTrialsasTopicBiometry:methodsOutcomeAssessment(HealthCare):methodsStatisticalEpidemiologicResearchDesignOutcomeAssessment(HealthCare)DataInterpretationEndpointDeterminationEndpointDetermination:methodsBiometry
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1Survival analysis in total joint replacement: an alternative method of accounting for the presence of competing risk.
P. Fennema, und J. Lubsen. The Journal of bone and joint surgery. British volume, 92 (5): 701-6 (Mai 2010)5813<m:linebreak></m:linebreak>LR: 20101110; JID: 0375355; ppublish;<m:linebreak></m:linebreak>Anàlisi de supervivència; Competing risks.
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Hip:statistics&numericaldata
Hip:mortality
Humans
Reoperation
SurvivalAnalysis
Incidence
ProsthesisFailure
HipProsthesis:standards
Replacement
OutcomeAssessment(HealthCare):methods
ProsthesisDesign
Reoperation:statistics&numericaldata
OutcomeAssessment(HealthCare)
Arthroplasty
DataInterpretation
Hip
Theoretical
ProsthesisDesign:standards
Statistical
Models
Bias(Epidemiology)
HipProsthesis
Hip:statistics&numericaldataHip:mortalityHumansReoperationSurvivalAnalysisIncidenceProsthesisFailureHipProsthesis:standardsReplacementOutcomeAssessment(HealthCare):methodsProsthesisDesignReoperation:statistics&numericaldataOutcomeAssessment(HealthCare)ArthroplastyDataInterpretationHipTheoreticalProsthesisDesign:standardsStatisticalModelsBias(Epidemiology)HipProsthesis
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1Prognostic markers: data misinterpretation often leads to overoptimistic conclusions.
Y. Foucher, C. Combescure, J. Ashton-Chess, und M. Giral. American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 12 (4): 1060-1 (April 2012)6790<br/>JID: 100968638; CON: Am J Transplant. 2010 Sep;10(9):2066-73. PMID: 20883541; CON: Am J Transplant. 2008 Jun;8(6):1205-13. PMID: 18444921; CON: Am J Transplant. 2008 Dec;8(12):2537-46. PMID: 18945283; 2012/01/06 aheadofprint; ppublish;<br/>Models predictius; Proves diagnòstiques.
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EndocrineGlandNeoplasms
KidneyTransplantation:pathology
EndocrineGlandNeoplasms:surgery
Humans
Male
KidneyTransplantation
KidneyTubules
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
Nephritis:pathology
LiverNeoplasms
Nephritis
DecisionSupportTechniques
EndpointDetermination:methods
Theoretical
LiverNeoplasms:surgery
LiverTransplantation
NeuroendocrineTumors
LiverTransplantation:mortality
Models
KidneyTubules:pathology
NeuroendocrineTumors:surgery
EndpointDetermination
Female
EndocrineGlandNeoplasmsKidneyTransplantation:pathologyEndocrineGlandNeoplasms:surgeryHumansMaleKidneyTransplantationKidneyTubulesOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)Nephritis:pathologyLiverNeoplasmsNephritisDecisionSupportTechniquesEndpointDetermination:methodsTheoreticalLiverNeoplasms:surgeryLiverTransplantationNeuroendocrineTumorsLiverTransplantation:mortalityModelsKidneyTubules:pathologyNeuroendocrineTumors:surgeryEndpointDeterminationFemale
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1Propensity scores: a practical method for assessing treatment effects in pain and symptom management research.
M. Garrido. Journal of pain and symptom management, 48 (4): 711-8 (Oktober 2014)Propensity score; Introductori; Dolor.
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RiskAssessment
Pain:epidemiology
Prevalence
SymptomAssessment:methods
RCT
Humans
PainManagement
PropensityScore
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
DataInterpretation
PainMeasurement
SymptomAssessment
PainManagement:statistics&numericaldata
ReproducibilityofResults
Pain
PainMeasurement:methods
Statistical
SensitivityandSpecificity
Pain:diagnosis
RiskAssessmentPain:epidemiologyPrevalenceSymptomAssessment:methodsRCTHumansPainManagementPropensityScoreOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)DataInterpretationPainMeasurementSymptomAssessmentPainManagement:statistics&numericaldataReproducibilityofResultsPainPainMeasurement:methodsStatisticalSensitivityandSpecificityPain:diagnosis
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1Methods for constructing and assessing propensity scores.
M. Garrido, A. Kelley, J. Paris, K. Roza, D. Meier, R. Morrison, und M. Aldridge. Health services research, 49 (5): 1701-20 (Oktober 2014)Propensity score; STATA; Introductori; Anàlisi de dades.
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PalliativeCare:statistics&numericaldata
ResearchDesign
80andover
Neoplasms:epidemiology
OutcomeAssessment(HealthCare):methods
DataInterpretation
Pennsylvania
YoungAdult
Statistical
Models
ConfoundingFactors(Epidemiology)
Aged
Ohio
Virginia
CancerCareFacilities:statistics&numericaldat
Humans
PropensityScore
Male
Neoplasms
OutcomeAssessment(HealthCare)
PalliativeCare
CancerCareFacilities
NewYork
Adult
TreatmentOutcome
Female
MiddleAged
Wisconsin
PalliativeCare:statistics&numericaldataResearchDesign80andoverNeoplasms:epidemiologyOutcomeAssessment(HealthCare):methodsDataInterpretationPennsylvaniaYoungAdultStatisticalModelsConfoundingFactors(Epidemiology)AgedOhioVirginiaCancerCareFacilities:statistics&numericaldatHumansPropensityScoreMaleNeoplasmsOutcomeAssessment(HealthCare)PalliativeCareCancerCareFacilitiesNewYorkAdultTreatmentOutcomeFemaleMiddleAgedWisconsin
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2Analysis of data errors in clinical research databases.
S. Goldberg, A. Niemierko, und A. Turchin. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, (Januar 2008)5488<m:linebreak></m:linebreak>JID: 101209213; OID: NLM: PMC2656002; 2008/03/13 received; 2008/07/01 revised; epublish; SO: AMIA Annu Symp Proc. 2008 Nov 6:242-6.;<m:linebreak></m:linebreak>Recollida de dades.
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MedicalErrors:prevention&control
MedicalErrors
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
DataInterpretation
Automated:methods
ArtificialIntelligence
BiomedicalResearch
Factual
MedicalErrors:statistics&numericaldata
PatternRecognition
NaturalLanguageProcessing
Statistical
Automated
Databases
BiomedicalResearch:statistics&numericaldata
UnitedStates
MedicalErrors:prevention&controlMedicalErrorsOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)DataInterpretationAutomated:methodsArtificialIntelligenceBiomedicalResearchFactualMedicalErrors:statistics&numericaldataPatternRecognitionNaturalLanguageProcessingStatisticalAutomatedDatabasesBiomedicalResearch:statistics&numericaldataUnitedStates
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1An electronic application for rapidly calculating Charlson comorbidity score.
W. Hall, R. Ramachandran, S. Narayan, A. Jani, und S. Vijayakumar. BMC cancer, (Dezember 2004)4050<m:linebreak></m:linebreak>Comorbiditat.
vor 2 Jahren von @jepcastel
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ReproducibilityofResults
MathematicalComputing
Neoplasms:mortality
Comorbidity
Humans
Risk
OutcomeAssessment(HealthCare):methods
Neoplasms
OutcomeAssessment(HealthCare)
Aged
TreatmentOutcome
ReproducibilityofResultsMathematicalComputingNeoplasms:mortalityComorbidityHumansRiskOutcomeAssessment(HealthCare):methodsNeoplasmsOutcomeAssessment(HealthCare)AgedTreatmentOutcome
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1Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research.
V. Harder, E. Stuart, und J. Anthony. Psychological Methods, 15 (3): 234-249 (September 2010)Propensity score; Introductori.
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MarijuanaAbuse:prevention&control
MarijuanaAbuse:psychology
Humans
PropensityScore
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
OutcomeAssessment(HealthCare):statistics&num
Adolescent
BehavioralResearch
Statistical
Models
Bias(Epidemiology)
RegressionAnalysis
Child
Software
MarijuanaAbuse
BehavioralResearch:statistics&numericaldata
Causality
BehavioralResearch:methods
MarijuanaAbuse:prevention&controlMarijuanaAbuse:psychologyHumansPropensityScoreOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)OutcomeAssessment(HealthCare):statistics&numAdolescentBehavioralResearchStatisticalModelsBias(Epidemiology)RegressionAnalysisChildSoftwareMarijuanaAbuseBehavioralResearch:statistics&numericaldataCausalityBehavioralResearch:methods
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1Identifying phases of investigation helps planning, appraising, and applying the results of explanatory prognosis studies.
J. Hayden, P. Côté, I. Steenstra, und C. Bombardier. Journal of clinical epidemiology, 61 (6): 552-60 (Juni 2008)4519<br/>PUBM: Print-Electronic; JID: 8801383; 2007/04/02 received; 2007/07/18 revised; 2007/08/03 accepted; 2008/03/10 aheadofprint; ppublish;<br/>Tipus d'estudis; Models predictius; Disseny.
vor 2 Jahren von @jepcastel
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LowBackPain
Prognosis
ReviewLiteratureasTopic
HealthServicesResearch:methods
ResearchDesign
Humans
Legal
DisabilityEvaluation
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
HealthServicesResearch
LowBackPain:rehabilitation
Liability
Causality
LowBackPainPrognosisReviewLiteratureasTopicHealthServicesResearch:methodsResearchDesignHumansLegalDisabilityEvaluationOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)HealthServicesResearchLowBackPain:rehabilitationLiabilityCausality
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1Composite outcomes in clinical trials: what are they and when should they be used?
N. Heddle, und R. Cook. Transfusion, 51 (1): 11-3 (Januar 2011)5989<m:linebreak></m:linebreak>JID: 0417360; 2010/11/23 aheadofprint; ppublish;<m:linebreak></m:linebreak>Comparacions múltiples; Composite endpoints; Introductori.
vor 2 Jahren von @jepcastel
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Humans
ClinicalTrialsasTopic:standards
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
ClinicalTrialsasTopic
TreatmentOutcome
HumansClinicalTrialsasTopic:standardsOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)ClinicalTrialsasTopicTreatmentOutcome
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2Methodological aspects of outcomes research.
R. Hiebert, und M. Nordin. European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, (Januar 2006)6042<m:linebreak></m:linebreak>LR: 20071115; JID: 9301980; RF: 56; 2005/11/01 received; 2005/11/02 accepted; 2005/11/30 aheadofprint; ppublish;<m:linebreak></m:linebreak>Mesures de resultats; Critical appraisal; Cirurgia.
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RCT
Cross-SectionalStudies
ReviewLiteratureasTopic
ResearchDesign
Humans
BackPain:therapy
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
CohortStudies
StatisticsasTopic
BackPain
RCTCross-SectionalStudiesReviewLiteratureasTopicResearchDesignHumansBackPain:therapyOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)CohortStudiesStatisticsasTopicBackPain
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1Observer bias in randomised clinical trials with binary outcomes: systematic review of trials with both blinded and non-blinded outcome assessors.
A. Hróbjartsson, A. Thomsen, F. Emanuelsson, B. Tendal, J. Hilden, I. Boutron, P. Ravaud, und S. Brorson. BMJ (Clinical research ed.), (Januar 2012)6709<m:linebreak></m:linebreak>JID: 8900488; epublish;<m:linebreak></m:linebreak>Emmascarament; Bias.
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ObserverVariation
Double-BlindMethod
RCT
Humans
OddsRatio
Single-BlindMethod
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
TreatmentOutcome
ObserverVariationDouble-BlindMethodRCTHumansOddsRatioSingle-BlindMethodOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)TreatmentOutcome
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1Statistical significance testing and clinical trials.
M. Krause. Psychotherapy (Chicago, Ill.), 48 (3): 217-22 (September 2011)7061<m:linebreak></m:linebreak>CI: (c) 2011; JID: 2984829R; CIN: Psychotherapy (Chic). 2011 Sep;48(3):229-30; discussion 234-6. PMID: 21875237; CIN: Psychotherapy (Chic). 2011 Sep;48(3):225-8; discussion 234-6. PMID: 21875236; CIN: Psychotherapy (Chic). 2011 Sep;48(3):223-4; discussion 234-6. PMID: 21875235; CIN: Psychotherapy (Chic). 2011 Sep;48(3):231-3; discussion 234-6. PMID: 21875238; ppublish;.
vor 2 Jahren von @jepcastel
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RCT
ResearchDesign
Humans
RandomizedControlledTrialsasTopic:statistics
ResearchDesign:statistics&numericaldata
Psychotherapy:statistics&numericaldata
OutcomeAssessment(HealthCare):methods
Psychotherapy
ClinicalTrialsasTopic:statistics&numericald
OutcomeAssessment(HealthCare)
ClinicalTrialsasTopic
Psychotherapy:methods
RCTResearchDesignHumansRandomizedControlledTrialsasTopic:statisticsResearchDesign:statistics&numericaldataPsychotherapy:statistics&numericaldataOutcomeAssessment(HealthCare):methodsPsychotherapyClinicalTrialsasTopic:statistics&numericaldOutcomeAssessment(HealthCare)ClinicalTrialsasTopicPsychotherapy:methods
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1Emphasizing methods in outcomes research.
H. Krumholz. Circulation. Cardiovascular quality and outcomes, 4 (2): 137-9 (März 2011)6397<m:linebreak></m:linebreak>LR: 20111027; GR: U01-HL105270/HL/NHLBI NIH HHS/United States; JID: 101489148; ppublish;.
vor 2 Jahren von @jepcastel
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BiomedicalResearch
BiomedicalResearch:methods
Humans
QualityofHealthCare
OutcomeAssessment(HealthCare):methods
OutcomeAssessment(HealthCare)
SensitivityandSpecificity
PatientCarePlanning
CardiovascularDiseases
BiomedicalResearchBiomedicalResearch:methodsHumansQualityofHealthCareOutcomeAssessment(HealthCare):methodsOutcomeAssessment(HealthCare)SensitivityandSpecificityPatientCarePlanningCardiovascularDiseases
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1Is zero the ideal death rate?
T. Lee, D. Torchiana, und J. Lock. The New England journal of medicine, 357 (2): 111-3 (Juli 2007)4146<m:linebreak></m:linebreak>PUBM: Print; JID: 0255562; ppublish;<m:linebreak></m:linebreak>Recursos/Organització; Recerca clínica.
vor 2 Jahren von @jepcastel
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Humans
QualityofHealthCare
Mortality
Benchmarking
OutcomeAssessment(HealthCare):methods
QualityofHealthCare:standards
OutcomeAssessment(HealthCare)
HospitalMortality
RiskAdjustment
UnitedStates
HumansQualityofHealthCareMortalityBenchmarkingOutcomeAssessment(HealthCare):methodsQualityofHealthCare:standardsOutcomeAssessment(HealthCare)HospitalMortalityRiskAdjustmentUnitedStates
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1Clinical and outcome research in oncology. The need for integration.

1Good research practices for comparative effectiveness research: defining, reporting and interpreting nonrandomized studies of treatment effects using secondary data sources: the ISPOR Good Research Practices for Retrospective Database Analysis Task Force

1The evidence provided by a single trial is less reliable than its statistical analysis suggests.

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

1Patient-reported outcomes and the mandate of measurement.

1Re-formulating non-inferiority trials as superiority trials: The case of binary outcomes.

1Survival analysis in total joint replacement: an alternative method of accounting for the presence of competing risk.

1Prognostic markers: data misinterpretation often leads to overoptimistic conclusions.

1Propensity scores: a practical method for assessing treatment effects in pain and symptom management research.

1Methods for constructing and assessing propensity scores.

2Analysis of data errors in clinical research databases.

1An electronic application for rapidly calculating Charlson comorbidity score.

1Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research.

1Identifying phases of investigation helps planning, appraising, and applying the results of explanatory prognosis studies.

1Composite outcomes in clinical trials: what are they and when should they be used?

2Methodological aspects of outcomes research.

1Observer bias in randomised clinical trials with binary outcomes: systematic review of trials with both blinded and non-blinded outcome assessors.

1Statistical significance testing and clinical trials.

1Emphasizing methods in outcomes research.

1Is zero the ideal death rate?

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