A Bayesian approach for individual‐level drug benefit‐risk assessment

Author:

Li Kan1ORCID,Luo Sheng2ORCID,Yuan Sammy1,Mt‐Isa Shahrul34

Affiliation:

1. Merck Research LabMerck & Co North Wales Pennsylvania

2. Department of Biostatistics and BioinformaticsDuke University Medical Center Durham North Carolina

3. Biostatistics and Research Decision SciencesMSD London UK

4. School of Public HealthImperial College London London UK

Funder

National Institute of Neurological Disorders and Stroke

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference40 articles.

1. Balancing benefit and risk of medicines: a systematic review and classification of available methodologies

2. Structured Benefit-Risk Assessment Across the Product Lifecycle: Practical Considerations

3. Food and Drug Administration.Structured approach to benefit‐risk assessment in drug regulatory decision‐making.https://www.fda.gov/downloads/forindustry/userfees/prescriptiondruguserfee/ucm329758.pdf. Published2013. Accessed April 30 2018.

4. Food and Drug Administration.Benefit‐risk assessment in drug regulatory decision‐making.https://www.fda.gov/downloads/ForIndustry/UserFees/PrescriptionDrugUserFee/UCM602885.pdf. Published2013. Accessed October 30 2018.

5. European Medicines Agency.Benefit‐risk methodology project. Work package 4: Benefit‐risk tools and processes.http://www.ema.europa.eu/docs/en_GB/document_library/Report/2012/03/WC500123819.pdf. Published2012. Accessed April 30 2018.

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