tag :: causality Female

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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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1Relation of probability of causation to relative risk and doubling dose: a methodologic error that has become a social problem.
S. Greenland. American journal of public health, 89 (8): 1166-9 (August 1999)2828<m:linebreak></m:linebreak>Risc atribuïble.
2 years ago by @jepcastel
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Causality
EnvironmentalExposure
EnvironmentalExposure:adverseeffects
Epidemiology
Epidemiology:legislation&jurisprudence
ExpertTestimony
Female
Humans
MiddleAged
RadiationInjuries
RadiationInjuries:complications
Risk
ThyroidNeoplasms
ThyroidNeoplasms:epidemiology
ThyroidNeoplasms:etiology
CausalityEnvironmentalExposureEnvironmentalExposure:adverseeffectsEpidemiologyEpidemiology:legislation&jurisprudenceExpertTestimonyFemaleHumansMiddleAgedRadiationInjuriesRadiationInjuries:complicationsRiskThyroidNeoplasmsThyroidNeoplasms:epidemiologyThyroidNeoplasms:etiology
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1Commentary: Is structural equation modelling a step forward for epidemiologists?
Y. Tu. International journal of epidemiology, 38 (2): 549-51 (April 2009)5021.
2 years ago by @jepcastel
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BloodPressure
BloodPressure:physiology
Cardiovascular
Causality
Female
FetalDevelopment
FetalDevelopment:physiology
Humans
Male
Models
Statistical
YoungAdult
BloodPressureBloodPressure:physiologyCardiovascularCausalityFemaleFetalDevelopmentFetalDevelopment:physiologyHumansMaleModelsStatisticalYoungAdult
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1Association vs. causality in transfusion medicine: understanding multivariable analysis in prediction vs. etiologic research.
S. Zalpuri, R. Middelburg, L. van de Watering, E. Vamvakas, J. Zwaginga, and J. van der Bom. Transfusion medicine reviews, 27 (2): 74-81 (April 2013)7527<m:linebreak></m:linebreak>CI: Copyright (c) 2013; JID: 8709027; 2013/01/04 received; 2013/02/13 revised; 2013/02/15 accepted; 2013/03/13 aheadofprint; ppublish;.
2 years ago by @jepcastel
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BiomedicalResearch
BiomedicalResearch:statistics&numericaldata
BloodTransfusion
BloodTransfusion:statistics&numericaldata
Causality
Comorbidity
Comprehension
ConfoundingFactors(Epidemiology)
Female
Forecasting
Forecasting:methods
Humans
Male
MultivariateAnalysis
Prognosis
Questionnaires
RegenerativeMedicine
RegenerativeMedicine:statistics&numericaldata
RiskFactors
BiomedicalResearchBiomedicalResearch:statistics&numericaldataBloodTransfusionBloodTransfusion:statistics&numericaldataCausalityComorbidityComprehensionConfoundingFactors(Epidemiology)FemaleForecastingForecasting:methodsHumansMaleMultivariateAnalysisPrognosisQuestionnairesRegenerativeMedicineRegenerativeMedicine:statistics&numericaldataRiskFactors
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1Overadjustment bias and unnecessary adjustment in epidemiologic studies.
E. Schisterman, S. Cole, and R. Platt. Epidemiology (Cambridge, Mass.), 20 (4): 488-95 (July 2009)5214<m:linebreak></m:linebreak>GR: R03-AI 071763/AI/NIAID NIH HHS/United States; JID: 9009644; CIN: Epidemiology. 2009 Jul;20(4):496-9. PMID: 19525686; ppublish;.
2 years ago by @jepcastel
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Bias(Epidemiology)
Causality
EpidemiologicResearchDesign
Female
Humans
Infant
InfantMortality
InfantMortality:trends
Models
Newborn
PopulationDynamics
Smoking
Smoking:adverseeffects
Statistical
Bias(Epidemiology)CausalityEpidemiologicResearchDesignFemaleHumansInfantInfantMortalityInfantMortality:trendsModelsNewbornPopulationDynamicsSmokingSmoking:adverseeffectsStatistical
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1Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology.
M. Hernán, S. Hernández-Díaz, M. Werler, and A. Mitchell. American journal of epidemiology, 155 (2): 176-84 (January 2002)2868<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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Bias(Epidemiology)
Causality
ConfoundingFactors(Epidemiology)
EpidemiologicMethods
Female
FolicAcid
FolicAcid:therapeuticuse
Humans
Infant
MentalRecall
NeuralTubeDefects
NeuralTubeDefects:epidemiology
NeuralTubeDefects:prevention&control
Newborn
Ontario
Ontario:epidemiology
Pregnancy
UnitedStates
UnitedStates:epidemiology
Bias(Epidemiology)CausalityConfoundingFactors(Epidemiology)EpidemiologicMethodsFemaleFolicAcidFolicAcid:therapeuticuseHumansInfantMentalRecallNeuralTubeDefectsNeuralTubeDefects:epidemiologyNeuralTubeDefects:prevention&controlNewbornOntarioOntario:epidemiologyPregnancyUnitedStatesUnitedStates:epidemiology
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2Methods of calculating deaths attributable to obesity.
K. Flegal, B. Graubard, and D. Williamson. American journal of epidemiology, 160 (4): 331-8 (August 2004)4391<m:linebreak></m:linebreak>LR: 20041117; PUBM: Print; JID: 7910653; ppublish;<m:linebreak></m:linebreak>Risc atribuïble.
2 years ago by @jepcastel
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80andover
Adolescent
Adult
AgeDistribution
Aged
Bias(Epidemiology)
Causality
CohortStudies
ConfoundingFactors(Epidemiology)
EffectModifier
Epidemiologic
EpidemiologicMeasurements
Female
Humans
Male
MiddleAged
Models
Obesity
Obesity:mortality
Risk
SexDistribution
Statistical
80andoverAdolescentAdultAgeDistributionAgedBias(Epidemiology)CausalityCohortStudiesConfoundingFactors(Epidemiology)EffectModifierEpidemiologicEpidemiologicMeasurementsFemaleHumansMaleMiddleAgedModelsObesityObesity:mortalityRiskSexDistributionStatistical
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1Observational studies: the hazard and other gods.
J. Arenas-Fernández, J. Fernández-Martín, J. Cannata-Andía, and P. Martínez-Camblor. Medicina clínica, 142 (2): 80-4 (January 2014)Tipus d'estudis; Observacionals; Propensity score; Variables instrumentals; Introductori.
2 years ago by @jepcastel
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Aged
Causality
ChelatingAgents
ChelatingAgents:therapeuticuse
ChelationTherapy
CohortStudies
DataCollection
Female
Humans
Hyperparathyroidism
Male
MiddleAged
MulticenterStudiesasTopic
MulticenterStudiesasTopic:statistics&numeric
ObservationalStudyasTopic
ObservationalStudyasTopic:methods
ObservationalStudyasTopic:statistics&numeric
Phosphorus
PropensityScore
ProportionalHazardsModels
RenalDialysis
RenalDialysis:adverseeffects
ResearchDesign
Secondary
Secondary:blood
Secondary:drugtherapy
Secondary:etiology
AgedCausalityChelatingAgentsChelatingAgents:therapeuticuseChelationTherapyCohortStudiesDataCollectionFemaleHumansHyperparathyroidismMaleMiddleAgedMulticenterStudiesasTopicMulticenterStudiesasTopic:statistics&numericObservationalStudyasTopicObservationalStudyasTopic:methodsObservationalStudyasTopic:statistics&numericPhosphorusPropensityScoreProportionalHazardsModelsRenalDialysisRenalDialysis:adverseeffectsResearchDesignSecondarySecondary:bloodSecondary:drugtherapySecondary:etiology
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1Marginal structural models as a tool for standardization.
T. Sato, and Y. Matsuyama. Epidemiology (Cambridge, Mass.), 14 (6): 680-6 (November 2003)Propensity score; IPTW; SMRW; Marginal structural models.
2 years ago by @jepcastel
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AntineoplasticAgents
BreastNeoplasms
BreastNeoplasms:drugtherapy
BreastNeoplasms:physiopathology
BreastNeoplasms:prevention&control
Causality
ConfoundingFactors(Epidemiology)
EpidemiologicStudies
Female
Hormonal
Hormonal:therapeuticuse
Humans
Nonparametric
Probability
Recurrence
ReferenceStandards
Risk
Statistics
Tamoxifen
Tamoxifen:therapeuticuse
AntineoplasticAgentsBreastNeoplasmsBreastNeoplasms:drugtherapyBreastNeoplasms:physiopathologyBreastNeoplasms:prevention&controlCausalityConfoundingFactors(Epidemiology)EpidemiologicStudiesFemaleHormonalHormonal:therapeuticuseHumansNonparametricProbabilityRecurrenceReferenceStandardsRiskStatisticsTamoxifenTamoxifen:therapeuticuse
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publications (hide)9
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1Compound treatments, transportability, and the structural causal model: the power and simplicity of causal graphs.

1Relation of probability of causation to relative risk and doubling dose: a methodologic error that has become a social problem.

1Commentary: Is structural equation modelling a step forward for epidemiologists?

1Association vs. causality in transfusion medicine: understanding multivariable analysis in prediction vs. etiologic research.

1Overadjustment bias and unnecessary adjustment in epidemiologic studies.

1Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology.

2Methods of calculating deaths attributable to obesity.

1Observational studies: the hazard and other gods.

1Marginal structural models as a tool for standardization.

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