Conference
Emulating a Target Trial from Real-World Observational Data with Time-varying Confounding Using a Marginal Structural Model with Inverse Probability Weighting
العنوان: | Emulating a Target Trial from Real-World Observational Data with Time-varying Confounding Using a Marginal Structural Model with Inverse Probability Weighting |
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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 |
DOI: | 10.3205/20gmds077 |
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