jepcastel > EpidemiologicStudies

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1Probability logic and probabilistic induction.
S. Greenland. Epidemiology (Cambridge, Mass.), 9 (3): 322-32 (May 1998)2502<m:linebreak></m:linebreak>Comment in: Epidemiology 1998 May;9(3):233;.
2 years ago by @jepcastel
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EpidemiologicStudies
Humans
Logic
Models
ProbabilityTheory
ResearchDesign
Statistical
EpidemiologicStudiesHumansLogicModelsProbabilityTheoryResearchDesignStatistical
(0)
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1Model for the analysis of binary time series of respiratory symptoms.
H. Zhang, E. Triche, and B. Leaderer. American journal of epidemiology, 151 (12): 1206-15 (June 2000)4421<m:linebreak></m:linebreak>LR: 20071114; PUBM: Print; GR: ES05410/ES/United States NIEHS; GR: HD30712/HD/United States NICHD; JID: 7910653; 0 (Air Pollutants); ppublish;<m:linebreak></m:linebreak>Sèries temporals.
2 years ago by @jepcastel
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Adult
AirPollutants
AirPollutants:adverseeffects
Demography
EpidemiologicStudies
Female
HealthStatus
Humans
Incidence
Infant
MeteorologicalConcepts
Models
Newborn
ParticleSize
Prevalence
RespiratoryTractDiseases
RespiratoryTractDiseases:diagnosis
RespiratoryTractDiseases:epidemiology
RespiratoryTractDiseases:pathology
RiskFactors
SeverityofIllnessIndex
Theoretical
AdultAirPollutantsAirPollutants:adverseeffectsDemographyEpidemiologicStudiesFemaleHealthStatusHumansIncidenceInfantMeteorologicalConceptsModelsNewbornParticleSizePrevalenceRespiratoryTractDiseasesRespiratoryTractDiseases:diagnosisRespiratoryTractDiseases:epidemiologyRespiratoryTractDiseases:pathologyRiskFactorsSeverityofIllnessIndexTheoretical
(0)
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1Instrumental variables: application and limitations.
E. Martens, W. Pestman, A. de Boer, S. Belitser, and O. Klungel. Epidemiology (Cambridge, Mass.), 17 (3): 260-7 (May 2006)4042<m:linebreak></m:linebreak>Variables instrumentals.
2 years ago by @jepcastel
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Bias(Epidemiology)
ConfoundingFactors(Epidemiology)
EpidemiologicStudies
Models
Statistical
UnitedStates
Bias(Epidemiology)ConfoundingFactors(Epidemiology)EpidemiologicStudiesModelsStatisticalUnitedStates
(0)
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1Adjusting a relative-risk estimate for study imperfections.
G. Maldonado. Journal of epidemiology and community health, 62 (7): 655-63 (July 2008)4593<m:linebreak></m:linebreak>GR: 1R29-ES07986/ES/NIEHS NIH HHS/United States; JID: 7909766; ppublish;<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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Algorithms
Bias(Epidemiology)
EpidemiologicStudies
Humans
Models
ResearchDesign
ResearchDesign:statistics&numericaldata
Risk
Statistical
StatisticsasTopic
AlgorithmsBias(Epidemiology)EpidemiologicStudiesHumansModelsResearchDesignResearchDesign:statistics&numericaldataRiskStatisticalStatisticsasTopic
(0)
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1The hazards of hazard ratios.
M. Hernán. Epidemiology (Cambridge, Mass.), 21 (1): 13-5 (January 2010)5496 GR: R01 HL080644/HL/NHLBI NIH HHS/United States; JID: 9009644; ppublish; Depleció de susceptibles; Anàlisi de supervivència; Bias; Hazard ratio;.
2 years ago by @jepcastel
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EpidemiologicStudies
ProportionalHazardsModels
EpidemiologicStudiesProportionalHazardsModels
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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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1When is a case-control study not a case-control study?
N. Mayo, and M. Goldberg. Journal of rehabilitation medicine, 41 (4): 209-16 (March 2009)5156<m:linebreak></m:linebreak>JID: 101088169; RF: 95; ppublish;<m:linebreak></m:linebreak>Tipus d'estudis; Errors.
2 years ago by @jepcastel
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Case-ControlStudies
EpidemiologicStudies
Humans
PeriodicalsasTopic
Rehabilitation
ResearchDesign
Case-ControlStudiesEpidemiologicStudiesHumansPeriodicalsasTopicRehabilitationResearchDesign
(0)
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1Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders.
T. Vanderweele, and O. Arah. Epidemiology (Cambridge, Mass.), 22 (1): 42-52 (January 2011)6262<m:linebreak></m:linebreak>LR: 20110412; GR: R03 HD060696-01A1/HD/NICHD NIH HHS/United States; JID: 9009644; NIHMS239676; OID: NLM: NIHMS239676 Available on 01/01/12; OID: NLM: PMC3073860 Available on 01/01/12; PMCR: 2012/01/01; ppublish;.
2 years ago by @jepcastel
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Bias(Epidemiology)
ConfoundingFactors(Epidemiology)
EpidemiologicStudies
Humans
Models
SensitivityandSpecificity
Statistical
Bias(Epidemiology)ConfoundingFactors(Epidemiology)EpidemiologicStudiesHumansModelsSensitivityandSpecificityStatistical
(0)
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1On the distinction between interaction and effect modification.
T. VanderWeele. Epidemiology (Cambridge, Mass.), 20 (6): 863-71 (November 2009)6414<m:linebreak></m:linebreak>LR: 20110917; JID: 9009644; CIN: Epidemiology. 2010 Jul;21(4):587; author reply 587-8. PMID: 20539118; EIN: Epidemiology. 2010 Jan;21(1):162; EIN: Epidemiology. 2011 Sep;22(5):752; ppublish;<m:linebreak></m:linebreak>Mesures d'associació; Interacció.
2 years ago by @jepcastel
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Causality
ConfoundingFactors(Epidemiology)
EpidemiologicStudies
Models
Statistical
CausalityConfoundingFactors(Epidemiology)EpidemiologicStudiesModelsStatistical
(0)
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1When one depends on the other: reporting of interaction in case-control and cohort studies.
M. Knol, M. Egger, P. Scott, M. Geerlings, and J. Vandenbroucke. Epidemiology (Cambridge, Mass.), 20 (2): 161-6 (March 2009)4932<m:linebreak></m:linebreak>JID: 9009644; CIN: Epidemiology. 2009 Mar;20(2):159-60. PMID: 19234409; ppublish;<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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Bibliometrics
Case-ControlStudies
Causality
CohortStudies
EpidemiologicStudies
BibliometricsCase-ControlStudiesCausalityCohortStudiesEpidemiologicStudies
(0)
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1Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration.
J. Vandenbroucke, E. Elm, D. Altman, P. Gøtzsche, C. Mulrow, S. Pocock, C. Poole, J. Schlesselman, and M. Egger. Gaceta sanitaria / S.E.S.P.A.S, 23 (2): 158 (2009)5153<m:linebreak></m:linebreak>JID: 8901623; 2009/02/26 aheadofprint; ppublish;<m:linebreak></m:linebreak>Publicació.
2 years ago by @jepcastel
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EpidemiologicStudies
EpidemiologicStudies
(0)
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1The impact of unmeasured baseline effect modification on estimates from an inverse probability of treatment weighted logistic model.
J. Delaney, R. Platt, and S. Suissa. European journal of epidemiology, 24 (7): 343-9 (January 2009)5196 JID: 8508062; 2009/01/13 received; 2009/04/03 accepted; 2009/05/06 aheadofprint; ppublish; Anàlisi de dades; Marginal structural models; IPTW; Interacció.
2 years ago by @jepcastel
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ConfoundingFactors(Epidemiology)
EpidemiologicStudies
LogisticModels
MonteCarloMethod
ConfoundingFactors(Epidemiology)EpidemiologicStudiesLogisticModelsMonteCarloMethod
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1Methods in epidemiology: observational study designs.
N. DiPietro. Pharmacotherapy, 30 (10): 973-84 (October 2010)6440<m:linebreak></m:linebreak>JID: 8111305; ppublish;<m:linebreak></m:linebreak>Tipus d'estudis; Introductori; Observacionals.
2 years ago by @jepcastel
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Case-ControlStudies
CohortStudies
Cross-OverStudies
Cross-SectionalStudies
Ecosystem
EpidemiologicMethods
EpidemiologicStudies
Humans
Observation
Observation:methods
Pharmacoepidemiology
ResearchDesign
StatisticsasTopic
RCT
Case-ControlStudiesCohortStudiesCross-OverStudiesCross-SectionalStudiesEcosystemEpidemiologicMethodsEpidemiologicStudiesHumansObservationObservation:methodsPharmacoepidemiologyResearchDesignStatisticsasTopicRCT
(0)
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1Weather variability and the incidence of cryptosporidiosis: comparison of time series poisson regression and SARIMA models.
W. Hu, S. Tong, K. Mengersen, and D. Connell. Annals of epidemiology, 17 (9): 679-88 (September 2007)4335<m:linebreak></m:linebreak>PUBM: Print-Electronic; DEP: 20070628; JID: 9100013; 2006/04/24 received; 2007/02/15 revised; 2007/03/12 accepted; 2007/06/28 aheadofprint; ppublish;<m:linebreak></m:linebreak>Sèries temporals.
2 years ago by @jepcastel
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Cryptosporidiosis
Cryptosporidiosis:epidemiology
Cryptosporidiosis:transmission
EpidemiologicStudies
Humans
Models
PoissonDistribution
Queensland
Queensland:epidemiology
Statistical
TimeFactors
Weather
CryptosporidiosisCryptosporidiosis:epidemiologyCryptosporidiosis:transmissionEpidemiologicStudiesHumansModelsPoissonDistributionQueenslandQueensland:epidemiologyStatisticalTimeFactorsWeather
(0)
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1Interaction as departure from additivity in case-control studies: a cautionary note.
A. Skrondal. American journal of epidemiology, 158 (3): 251-8 (August 2003)4792<m:linebreak></m:linebreak>LR: 20041117; JID: 7910653; ppublish;<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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Case-ControlStudies
EpidemiologicStudies
Humans
Models
OddsRatio
RegressionAnalysis
ReproducibilityofResults
ResearchDesign
Statistical
Case-ControlStudiesEpidemiologicStudiesHumansModelsOddsRatioRegressionAnalysisReproducibilityofResultsResearchDesignStatistical
(0)
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1Operationalizing the cross-cultural adaptation of epidemiological measurement instruments.
M. Reichenheim, and C. Moraes. Revista de saúde pública, 41 (4): 665-73 (August 2007)5515<m:linebreak></m:linebreak>LR: 20091111; JID: 0135043; 2007/01/08 received; 2007/04/23 accepted; ppublish;<m:linebreak></m:linebreak>Validació d'escales.
2 years ago by @jepcastel
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Cross-CulturalComparison
EpidemiologicStudies
Humans
Questionnaires
Questionnaires:standards
Translating
Cross-CulturalComparisonEpidemiologicStudiesHumansQuestionnairesQuestionnaires:standardsTranslating
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1A method for detection of residual confounding in time-series and other observational studies.
W. Flanders, M. Klein, L. Darrow, M. Strickland, S. Sarnat, J. Sarnat, L. Waller, A. Winquist, and P. Tolbert. Epidemiology (Cambridge, Mass.), 22 (1): 59-67 (January 2011)6261<m:linebreak></m:linebreak>GR: R01ES11294/ES/NIEHS NIH HHS/United States; JID: 9009644; 10028-15-6 (Ozone); ppublish;.
2 years ago by @jepcastel
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Asthma
Asthma:epidemiology
Asthma:etiology
ConfoundingFactors(Epidemiology)
EmergencyService
EnvironmentalExposure
EpidemiologicStudies
Georgia
Georgia:epidemiology
Hospital
Hospital:utilization
Humans
Ozone
Ozone:adverseeffects
PopulationSurveillance
PopulationSurveillance:methods
AsthmaAsthma:epidemiologyAsthma:etiologyConfoundingFactors(Epidemiology)EmergencyServiceEnvironmentalExposureEpidemiologicStudiesGeorgiaGeorgia:epidemiologyHospitalHospital:utilizationHumansOzoneOzone:adverseeffectsPopulationSurveillancePopulationSurveillance:methods
(0)
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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
(0)
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1Assessing the performance of prediction models: a framework for traditional and novel measures.
E. Steyerberg, A. Vickers, N. Cook, T. Gerds, M. Gonen, N. Obuchowski, M. Pencina, and M. Kattan. Epidemiology (Cambridge, Mass.), 21 (1): 128-38 (January 2010)5495 JID: 9009644; ppublish; Models predictius.
2 years ago by @jepcastel
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EpidemiologicStudies
Models
Prognosis
ROCCurve
ReproducibilityofResults
RiskAssessment
RiskAssessment:methods
RiskAssessment:standards
RiskAssessment:statistics&numericaldata
Statistical
EpidemiologicStudiesModelsPrognosisROCCurveReproducibilityofResultsRiskAssessmentRiskAssessment:methodsRiskAssessment:standardsRiskAssessment:statistics&numericaldataStatistical
(0)
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1Building bridges between populations and samples in epidemiological studies.
W. Kalsbeek, and G. Heiss. Annual review of public health, (January 2000)3643<m:linebreak></m:linebreak>Anàlisi de dades.
2 years ago by @jepcastel
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Bias(Epidemiology)
ClusterAnalysis
DataCollection
DataCollection:methods
DataInterpretation
EpidemiologicResearchDesign
EpidemiologicStudies
Humans
PopulationSurveillance
PopulationSurveillance:methods
RandomAllocation
SampleSize
SamplingStudies
Statistical
Bias(Epidemiology)ClusterAnalysisDataCollectionDataCollection:methodsDataInterpretationEpidemiologicResearchDesignEpidemiologicStudiesHumansPopulationSurveillancePopulationSurveillance:methodsRandomAllocationSampleSizeSamplingStudiesStatistical
(0)
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1Probability logic and probabilistic induction.

1Model for the analysis of binary time series of respiratory symptoms.

1Instrumental variables: application and limitations.

1Adjusting a relative-risk estimate for study imperfections.

1The hazards of hazard ratios.

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

1When is a case-control study not a case-control study?

1Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders.

1On the distinction between interaction and effect modification.

1When one depends on the other: reporting of interaction in case-control and cohort studies.

1Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration.

1The impact of unmeasured baseline effect modification on estimates from an inverse probability of treatment weighted logistic model.

1Methods in epidemiology: observational study designs.

1Weather variability and the incidence of cryptosporidiosis: comparison of time series poisson regression and SARIMA models.

1Interaction as departure from additivity in case-control studies: a cautionary note.

1Operationalizing the cross-cultural adaptation of epidemiological measurement instruments.

1A method for detection of residual confounding in time-series and other observational studies.

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

1Assessing the performance of prediction models: a framework for traditional and novel measures.

1Building bridges between populations and samples in epidemiological studies.

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