2023
Evidence of publication bias in multiple sclerosis clinical trials: a comparative analysis of published and unpublished studies registered in ClinicalTrials.gov
Rivero-de-Aguilar A, Pérez-Ríos M, Ruano-Raviña A, Candal-Pedreira C, Puente-Hernandez M, Ross J, Varela-Lema L. Evidence of publication bias in multiple sclerosis clinical trials: a comparative analysis of published and unpublished studies registered in ClinicalTrials.gov. Journal Of Neurology Neurosurgery & Psychiatry 2023, 94: 597-604. PMID: 36977551, DOI: 10.1136/jnnp-2023-331132.Peer-Reviewed Original ResearchConceptsClinical trialsPeer-reviewed journalsTrial publicationsPublication biasMultivariate logistic regression analysisMultiple sclerosis clinical trialsFavorable primary outcomeMS clinical researchPhase IIILogistic regression analysisMultiple sclerosis drugsCase-control designTreatment tolerabilityMore patientsPrimary outcomeUnpublished trialsMS drugsTreatment decisionsLower oddsStudy design characteristicsMultivariate analysisClinical researchUnpublished studiesTrialsGoogle Scholar
2020
Evaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease
Wallach JD, Serghiou S, Chu L, Egilman AC, Vasiliou V, Ross JS, Ioannidis JPA. Evaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease. BMC Medical Research Methodology 2020, 20: 64. PMID: 32171256, PMCID: PMC7071725, DOI: 10.1186/s12874-020-0914-6.Peer-Reviewed Original ResearchConceptsIschemic heart disease riskHeart disease riskObservational studyImpact of alcoholPotential confoundersHeart diseaseDisease riskMultivariate modelIschemic heart diseaseResidual confoundingDisease relationshipsEpidemiologic studiesAlcohol consumptionConfoundersMultivariate analysisLack of consensusIndividual studiesStratification variablesDiseaseRiskSame exposureConfoundingDifferent studiesStudy findingsDifferent investigators