Emulating a Target Trial from Real-World Observational Data with Time-varying Confounding Using a Marginal Structural Model with Inverse Probability Weighting

التفاصيل البيبلوغرافية
العنوان: Emulating a Target Trial from Real-World Observational Data with Time-varying Confounding Using a Marginal Structural Model with Inverse Probability Weighting
المؤلفون: Siebert, U
المصدر: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 484 /20210226/
بيانات النشر: German Medical Science GMS Publishing House; Düsseldorf
سنة النشر: 2021
المجموعة: GMS e-journal - German Medical Science (Association of the Scientific Medical Societies in Germany)
مصطلحات موضوعية: causal inference, time-varying confounding, g-methods, marginal structural model, inverse probability weighting, target trial, ddc: 610
نوع الوثيقة: conference object
اللغة: English
Relation: Hernan MA, Robins JM. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. American Journal of Epidemiology. 2016;183:758-64.; Robins JM, Hernán MA, Siebert U. Estimations of the Effects of Multiple Interventions. In: Ezzati M, Lopez AD, Rodgers A, Murray CJL, editors. Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. Vol. 1. Geneva: World Health Organization; 2004. p. 2191-2230.; http://dx.doi.org/10.3205/20gmds077; http://nbn-resolving.de/urn:nbn:de:0183-20gmds0776; http://www.egms.de/en/meetings/gmds2020/20gmds077.shtml
DOI: 10.3205/20gmds077
الاتاحة: https://doi.org/10.3205/20gmds077
http://nbn-resolving.de/urn:nbn:de:0183-20gmds0776
http://www.egms.de/en/meetings/gmds2020/20gmds077.shtml
Rights: http://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.D0436013
قاعدة البيانات: BASE