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Open Access Journal

Endocrinology and Diabetes Open Access

ISSN: 2631-374X

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Endocrinology and Diabetes: Open Access is a peer-reviewed open access bimonthly journal that publishes experimental and clinical research on diabetes mellitus, endocrinology, and related metabolic diseases. The journal mainly focuses ...

Endocrinology and Diabetes Open Access

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Sanni Ali

Sanni Ali

Dr. M Sanni Ali studied Veterinary Medicine in 2000-2006 at Addis Ababa University, Ethiopia and awarded "Doctor of Veterinary Medicine" with a "great distinction". He worked as a lecturer in Haramaya University and Addis Ababa University (2006-2009). In 2011, he obtained an MSc degree in (Veterinary) Epidemiology and Economics at Utrecht University, the Netherlands with "Cum Laude". In 2014, he defended his Ph.D. thesis entitled "Improving Propensity Score Methods in Pharmacoepidemiology" at Utrecht University.

His Ph.D. topic was part of PROTECT (The Pharmacoepidemiological Research on Outcomes of Therapeutics by a European Consortium) project - a collaborative European project to address limitations of current methods in the field of pharmacoepidemiology and pharmacovigilance. He has worked on several simulations and empirical studies evaluating methods in pharmaco-epidemiology such as propensity score, instrumental variable methods and marginal structural models.

He worked as a postdoctoral researcher at University Medical Centre Utrecht, The Netherlands since January 2014 on another IMI project -GetReal - an EU consortium aiming to show how robust new methods of RWE collection and synthesis could be adopted earlier in pharmaceutical R&D and the healthcare decision making process. He has experience in the design, analysis and interpretation of electronic medical records including data from several European Countries such as the Netherlands (Mondriaan, PHARMO,IPCI), Spain (BIFAP/SIDIAP), Italy (HSD), Denmark (Aarhus), United Kingdom (THIN, CPRD, HES and several disease registries) and The USA (MarketScan) as well as simulation studies on validating and improving different statistical methods.

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