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1Exposure-dependent misclassification of exposure in interaction analyses.
M. Lundberg, J. Hallqvist, and F. Diderichsen. Epidemiology (Cambridge, Mass.), 10 (5): 545-9 (September 1999)2519.
2 years ago by @jepcastel
show all tags
Bias(Epidemiology)
Case-ControlStudies
ConfoundingFactors(Epidemiology)
EnvironmentalExposure
EnvironmentalExposure:classification
EnvironmentalExposure:statistics&numericaldat
ResearchDesign
RiskAssessment
RiskAssessment:statistics&numericaldata
Bias(Epidemiology)Case-ControlStudiesConfoundingFactors(Epidemiology)EnvironmentalExposureEnvironmentalExposure:classificationEnvironmentalExposure:statistics&numericaldatResearchDesignRiskAssessmentRiskAssessment:statistics&numericaldata
(0)
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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
show all tags
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
(0)
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1Implementation of G-computation on a simulated data set: demonstration of a causal inference technique.
J. Snowden, S. Rose, and K. Mortimer. American journal of epidemiology, 173 (7): 731-8 (April 2011)6073<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;.
2 years ago by @jepcastel
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Causality
ComputerSimulation
ConfoundingFactors(Epidemiology)
EpidemiologicResearchDesign
Humans
Models
RegressionAnalysis
Statistical
CausalityComputerSimulationConfoundingFactors(Epidemiology)EpidemiologicResearchDesignHumansModelsRegressionAnalysisStatistical
(0)
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1Some old and some new statistical tools for outcomes research.
S. Normand. Circulation, 118 (8): 872-84 (August 2008)4708<m:linebreak></m:linebreak>GR: R01-MH054693/MH/NIMH NIH HHS/United States; GR: R01-MH061434/MH/NIMH NIH HHS/United States; JID: 0147763; RF: 49; NIHMS46125; OID: NLM: NIHMS46125 Available on 02/19/09; OID: NLM: PMC2535854 Available on 02/19/09; ppublish;<m:linebreak></m:linebreak>Mesures d'associació; Variables instrumentals; Propensity score; Dades censurades.
2 years ago by @jepcastel
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BiomedicalResearch
BiomedicalResearch:statistics&numericaldata
ClusterAnalysis
ConfoundingFactors(Epidemiology)
DataInterpretation
Humans
Models
Statistical
StatisticsasTopic
StatisticsasTopic:methods
StatisticsasTopic:standards
TreatmentOutcome
BiomedicalResearchBiomedicalResearch:statistics&numericaldataClusterAnalysisConfoundingFactors(Epidemiology)DataInterpretationHumansModelsStatisticalStatisticsasTopicStatisticsasTopic:methodsStatisticsasTopic:standardsTreatmentOutcome
(0)
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1The design of case-control studies: the effect of confounding on sample size requirements.
K. Drescher, J. Timm, and K. Jöckel. Statistics in medicine, 9 (7): 765-76 (July 1990)2456.
2 years ago by @jepcastel
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AirPollutants
AirPollutants:adverseeffects
Case-ControlStudies
ConfoundingFactors(Epidemiology)
Humans
LungNeoplasms
LungNeoplasms:etiology
Male
ResearchDesign
RiskFactors
SamplingStudies
Smoking
Smoking:adverseeffects
AirPollutantsAirPollutants:adverseeffectsCase-ControlStudiesConfoundingFactors(Epidemiology)HumansLungNeoplasmsLungNeoplasms:etiologyMaleResearchDesignRiskFactorsSamplingStudiesSmokingSmoking:adverseeffects
(0)
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1Treatment effects in the presence of unmeasured confounding: dealing with observations in the tails of the propensity score distribution--a simulation study.
T. Stürmer, K. Rothman, J. Avorn, and R. Glynn. American journal of epidemiology, 172 (7): 843-54 (October 2010)5732<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;<m:linebreak></m:linebreak>Propensity score.
2 years ago by @jepcastel
show all tags
Bias(Epidemiology)
Calibration
CohortStudies
ComputerSimulation
ConfoundingFactors(Epidemiology)
EpidemiologicMethods
Humans
Models
RegressionAnalysis
ResearchDesign
ResearchDesign:statistics&numericaldata
Statistical
SurvivalRate
Bias(Epidemiology)CalibrationCohortStudiesComputerSimulationConfoundingFactors(Epidemiology)EpidemiologicMethodsHumansModelsRegressionAnalysisResearchDesignResearchDesign:statistics&numericaldataStatisticalSurvivalRate
(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
show all tags
Bias(Epidemiology)
ConfoundingFactors(Epidemiology)
EpidemiologicStudies
Models
Statistical
UnitedStates
Bias(Epidemiology)ConfoundingFactors(Epidemiology)EpidemiologicStudiesModelsStatisticalUnitedStates
(0)
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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
(0)
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1Equivalence of the mediation, confounding and suppression effect.
D. MacKinnon, J. Krull, and C. Lockwood. Prevention science : the official journal of the Society for Prevention Research, 1 (4): 173-81 (December 2000)3530<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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Bias(Epidemiology)
Causality
ConfidenceIntervals
ConfoundingFactors(Epidemiology)
DataInterpretation
EffectModifier
Epidemiologic
Humans
Least-SquaresAnalysis
Models
ReproducibilityofResults
Statistical
Bias(Epidemiology)CausalityConfidenceIntervalsConfoundingFactors(Epidemiology)DataInterpretationEffectModifierEpidemiologicHumansLeast-SquaresAnalysisModelsReproducibilityofResultsStatistical
(0)
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1Use of poisson regression and box-jenkins models to evaluate the short-term effects of environmental noise levels on daily emergency admissions in Madrid, Spain.
A. Tobias, J. Díaz, M. Saez, and J. Alberdi. European journal of epidemiology, 17 (8): 765-71 (January 2001)4331<m:linebreak></m:linebreak>LR: 20041117; PUBM: Print; JID: 8508062; 0 (Air Pollutants); ppublish;<m:linebreak></m:linebreak>Sèries temporals.
2 years ago by @jepcastel
show all tags
AirPollutants
AirPollutants:analysis
Chi-SquareDistribution
Climate
ConfoundingFactors(Epidemiology)
EmergencyService
EnvironmentalExposure
EnvironmentalExposure:adverseeffects
Hospital
Hospital:utilization
Humans
Models
Noise
Noise:adverseeffects
PatientAdmission
PatientAdmission:statistics&numericaldata
PoissonDistribution
Spain
Statistical
UrbanPopulation
AirPollutantsAirPollutants:analysisChi-SquareDistributionClimateConfoundingFactors(Epidemiology)EmergencyServiceEnvironmentalExposureEnvironmentalExposure:adverseeffectsHospitalHospital:utilizationHumansModelsNoiseNoise:adverseeffectsPatientAdmissionPatientAdmission:statistics&numericaldataPoissonDistributionSpainStatisticalUrbanPopulation
(0)
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1Different disease rates in two populations: how much is due to differences in risk factors?
C. Lele, and A. Whittemore. Statistics in medicine, 16 (22): 2543-54 (November 1997)2696<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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AfricanAmericans
AfricanAmericans:statistics&numericaldata
Case-ControlStudies
ConfoundingFactors(Epidemiology)
EpidemiologicMethods
EuropeanContinentalAncestryGroup
EuropeanContinentalAncestryGroup:statistics&
Female
Humans
Incidence
LogisticModels
OddsRatio
OvarianNeoplasms
OvarianNeoplasms:ethnology
ReproductiveHistory
Risk
RiskFactors
UnitedStates
UnitedStates:epidemiology
AfricanAmericansAfricanAmericans:statistics&numericaldataCase-ControlStudiesConfoundingFactors(Epidemiology)EpidemiologicMethodsEuropeanContinentalAncestryGroupEuropeanContinentalAncestryGroup:statistics&FemaleHumansIncidenceLogisticModelsOddsRatioOvarianNeoplasmsOvarianNeoplasms:ethnologyReproductiveHistoryRiskRiskFactorsUnitedStatesUnitedStates:epidemiology
(0)
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1Adjustments for unmeasured confounders in pharmacoepidemiologic database studies using external information.
T. Stürmer, R. Glynn, K. Rothman, J. Avorn, and S. Schneeweiss. Medical care, 45 (10 Supl 2): S158-65 (October 2007)6354<m:linebreak></m:linebreak>LR: 20091118; GR: R01 023178/PHS HHS/United States; GR: R01 AG023178-03/AG/NIA NIH HHS/United States; JID: 0230027; 0 (Anti-Inflammatory Agents, Non-Steroidal); RF: 46; NIHMS40822; OID: NLM: NIHMS40822; OID: NLM: PMC2265540; ppublish;<m:linebreak></m:linebreak>CER.
2 years ago by @jepcastel
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Aged
Anti-InflammatoryAgents
Calibration
ConfoundingFactors(Epidemiology)
Female
Humans
Male
Mortality
NewJersey
NewJersey:epidemiology
Non-Steroidal
Non-Steroidal:adverseeffects
Pharmacoepidemiology
Pharmacoepidemiology:methods
Pharmacoepidemiology:statistics&numericaldata
RegressionAnalysis
ReproducibilityofResults
ResearchDesign
RiskAdjustment
RiskAdjustment:statistics&numericaldata
AgedAnti-InflammatoryAgentsCalibrationConfoundingFactors(Epidemiology)FemaleHumansMaleMortalityNewJerseyNewJersey:epidemiologyNon-SteroidalNon-Steroidal:adverseeffectsPharmacoepidemiologyPharmacoepidemiology:methodsPharmacoepidemiology:statistics&numericaldataRegressionAnalysisReproducibilityofResultsResearchDesignRiskAdjustmentRiskAdjustment:statistics&numericaldata
(0)
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1Confounding in health research.
S. Greenland, and H. Morgenstern. Annual review of public health, (January 2001)2952<m:linebreak></m:linebreak>Causalitat; Online.
2 years ago by @jepcastel
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Bias(Epidemiology)
Causality
ConfoundingFactors(Epidemiology)
EpidemiologicMethods
Humans
InterventionStudies
RandomizedControlledTrialsasTopic:statistics
ResearchDesign
RCT
Bias(Epidemiology)CausalityConfoundingFactors(Epidemiology)EpidemiologicMethodsHumansInterventionStudiesRandomizedControlledTrialsasTopic:statisticsResearchDesignRCT
(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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1Doubly robust estimation of causal effects.
M. Funk, D. Westreich, C. Wiesen, T. Stürmer, M. Brookhart, and M. Davidian. American journal of epidemiology, 173 (7): 761-7 (April 2011)6075<br/>JID: 7910653; aheadofprint;<br/><br/>Causalitat; Propensity score; IPTW.
2 years ago by @jepcastel
show all tags
Causality
ComputerSimulation
ConfidenceIntervals
ConfoundingFactors(Epidemiology)
EpidemiologicMethods
Humans
LikelihoodFunctions
Models
MonteCarloMethod
PropensityScore
RegressionAnalysis
Statistical
CausalityComputerSimulationConfidenceIntervalsConfoundingFactors(Epidemiology)EpidemiologicMethodsHumansLikelihoodFunctionsModelsMonteCarloMethodPropensityScoreRegressionAnalysisStatistical
(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
show all tags
Causality
ConfoundingFactors(Epidemiology)
EpidemiologicStudies
Models
Statistical
CausalityConfoundingFactors(Epidemiology)EpidemiologicStudiesModelsStatistical
(0)
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1Reanalysis of two studies with contrasting results on the association between statin use and fracture risk: the General Practice Research Database.
F. de Vries, C. de Vries, C. Cooper, B. Leufkens, and T. van Staa. International journal of epidemiology, 35 (5): 1301-8 (October 2006)4268<m:linebreak></m:linebreak>PUBM: Print; JID: 7802871; 0 (Hydroxymethylglutaryl-CoA Reductase Inhibitors); CIN: Int J Epidemiol. 2006 Oct;35(5):1308-9. PMID: 17053012; CIN: Int J Epidemiol. 2006 Oct;35(5):1310-1. PMID: 17053013; CIN: Int J Epidemiol. 2006 Oct;35(5):1312-3. PMID: 17053014; ppublish;<m:linebreak></m:linebreak>New-user designs; Mesures d'associació.
2 years ago by @jepcastel
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80andover
Aged
Bone
Bone:epidemiology
Bone:prevention&control
Case-ControlStudies
ConfoundingFactors(Epidemiology)
DrugAdministrationSchedule
Female
Fractures
GreatBritain
GreatBritain:epidemiology
HipFractures
HipFractures:epidemiology
HipFractures:prevention&control
Humans
Hydroxymethylglutaryl-CoAReductaseInhibitors
Hydroxymethylglutaryl-CoAReductaseInhibitors:ad
Male
MiddleAged
ResearchDesign
RiskAssessment
RiskAssessment:methods
SelectionBias
80andoverAgedBoneBone:epidemiologyBone:prevention&controlCase-ControlStudiesConfoundingFactors(Epidemiology)DrugAdministrationScheduleFemaleFracturesGreatBritainGreatBritain:epidemiologyHipFracturesHipFractures:epidemiologyHipFractures:prevention&controlHumansHydroxymethylglutaryl-CoAReductaseInhibitorsHydroxymethylglutaryl-CoAReductaseInhibitors:adMaleMiddleAgedResearchDesignRiskAssessmentRiskAssessment:methodsSelectionBias
(0)
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1Measures of effect based on the sufficient causes model. 2. Risks and rates of disease associated with a single preventive agent.
R. Allard, and J. Boivin. Epidemiology (Cambridge, Mass.), 4 (6): 517-23 (November 1993)3147<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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AIDS-RelatedComplex
AIDS-RelatedComplex:epidemiology
AIDS-RelatedComplex:prevention&control
AIDS-RelatedOpportunisticInfections
AIDS-RelatedOpportunisticInfections:epidemiolog
AcquiredImmunodeficiencySyndrome
AcquiredImmunodeficiencySyndrome:epidemiology
AcquiredImmunodeficiencySyndrome:prevention&c
Biometry
Case-ControlStudies
ConfoundingFactors(Epidemiology)
EpidemiologicMethods
Humans
Models
Probability
RiskFactors
Statistical
Zidovudine
Zidovudine:therapeuticuse
AIDS-RelatedComplexAIDS-RelatedComplex:epidemiologyAIDS-RelatedComplex:prevention&controlAIDS-RelatedOpportunisticInfectionsAIDS-RelatedOpportunisticInfections:epidemiologAcquiredImmunodeficiencySyndromeAcquiredImmunodeficiencySyndrome:epidemiologyAcquiredImmunodeficiencySyndrome:prevention&cBiometryCase-ControlStudiesConfoundingFactors(Epidemiology)EpidemiologicMethodsHumansModelsProbabilityRiskFactorsStatisticalZidovudineZidovudine:therapeuticuse
(0)
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1Evaluating medication effects outside of clinical trials: new-user designs.
W. Ray. American journal of epidemiology, 158 (9): 915-20 (November 2003)3522<m:linebreak></m:linebreak>New-user designs; Mesures d'associació.
2 years ago by @jepcastel
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Bias(Epidemiology)
ClinicalTrialsasTopic
ConfoundingFactors(Epidemiology)
EpidemiologicResearchDesign
HormoneReplacementTherapy
Humans
Pharmacoepidemiology
Bias(Epidemiology)ClinicalTrialsasTopicConfoundingFactors(Epidemiology)EpidemiologicResearchDesignHormoneReplacementTherapyHumansPharmacoepidemiology
(0)
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1Is restricted randomisation necessary?
C. Hewitt, and D. Torgerson. BMJ (Clinical research ed.), 332 (7556): 1506-8 (June 2006)4536<m:linebreak></m:linebreak>LR: 20071115; PUBM: Print; JID: 8900488; RF: 19; ppublish;<m:linebreak></m:linebreak>Aleatorització.
2 years ago by @jepcastel
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ConfoundingFactors(Epidemiology)
RandomAllocation
RandomizedControlledTrialsasTopic:statistics
RCT
ConfoundingFactors(Epidemiology)RandomAllocationRandomizedControlledTrialsasTopic:statisticsRCT
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1Exposure-dependent misclassification of exposure in interaction analyses.

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

1Implementation of G-computation on a simulated data set: demonstration of a causal inference technique.

1Some old and some new statistical tools for outcomes research.

1The design of case-control studies: the effect of confounding on sample size requirements.

1Treatment effects in the presence of unmeasured confounding: dealing with observations in the tails of the propensity score distribution--a simulation study.

1Instrumental variables: application and limitations.

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

1Equivalence of the mediation, confounding and suppression effect.

1Use of poisson regression and box-jenkins models to evaluate the short-term effects of environmental noise levels on daily emergency admissions in Madrid, Spain.

1Different disease rates in two populations: how much is due to differences in risk factors?

1Adjustments for unmeasured confounders in pharmacoepidemiologic database studies using external information.

1Confounding in health research.

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

1Doubly robust estimation of causal effects.

1On the distinction between interaction and effect modification.

1Reanalysis of two studies with contrasting results on the association between statin use and fracture risk: the General Practice Research Database.

1Measures of effect based on the sufficient causes model. 2. Risks and rates of disease associated with a single preventive agent.

1Evaluating medication effects outside of clinical trials: new-user designs.

1Is restricted randomisation necessary?

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