0000000000679164

AUTHOR

Agustin Lage-castellanos

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Estimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study

2019

The EUGEI project was supported by the grant agreement HEALTH-F2-2010-241909 from the European Community’s Seventh Framework Programme. The authors are grateful to the patients and their families for participating in the project. They also thank all research personnel involved in the GROUP project, in particular J. van Baaren, E. Veermans, G. Driessen, T. Driesen, E. van’t Hag and J. de Nijs. Bart PF Rutten was funded by a VIDI award number 91718336 from the Netherlands Scientific Organisation.

MalecannabisLogistic regression0302 clinical medicineLasso (statistics)Adverse Childhood ExperiencesStatisticsOdds RatioChild AbusePOLYGENIC RISKpsychosisChildPsychiatrySUMMER BIRTHFramingham Risk Score3. Good healthExposomePsychiatry and Mental healthmachine learningSchizophreniaArea Under CurveFemaleMarijuana UseSeasonsEnvironment And Schizophrenia—Feature Editor: Jim van OsLife Sciences & Biomedicineenvironmentpredictive modelingAdultExposomeDISORDERSrisk scoreYoung Adult03 medical and health sciencesPSYCHOSISmedicineJournal ArticleHumansHearing LossMETAANALYSISDEFICIT SCHIZOPHRENIAENVIRONMENTModels StatisticalScience & Technologychildhood traumaReceiver operating characteristicbusiness.industrySiblingsBullyingBayes TheoremChild Abuse SexualOdds ratiohearing impairmentmedicine.disease030227 psychiatryschizophreniaLogistic ModelsROC CurveSexual abuseCase-Control StudiesbusinessCHILDHOOD ADVERSITIES030217 neurology & neurosurgerywinter birth
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