A global network of researchers

AuthorAID Webinar: Correcting Myths and Misconceptions in Statistics

- | GMT+01:00 United Kingdom Time | Online

Join AuthorAID for a webinar discussion on 'Beyond the Numbers: Correcting Myths and Misconceptions in Statistics'. Our experienced keynote facilitator will let you in on their experience and share tips and advice.

Join us on 18th August at 2 pm - 3 pm GMT and register today to save your place. Once you have registered, the Zoom details should be made available to you automatically. Additional instructions for joining this Zoom webinar will be made available nearer the date via email, and a recording will be shared with registrants after the event.

Additional Information:


Felix Emeka Anyiam (MPH,MScPH,DataSc.)

Felix is an accomplished Researcher, Analytics, and Data Science professional with demonstrated ability to develop and implement data-driven solutions in the Urban and Health sector, with over 10 years of experience in teaching and leading Epidemiological, Biostatistical, and Data Science projects, from descriptive to predictive analytics. He is also a trained Research Scientist, Scientific Writer, and Epidemiologist in his day-to-day duties at the Centre for Health and Development (CHD), a Centre that evolved from several years of international research collaborations between the University of Port Harcourt and the Dalla Lana School of Public Health at the University of Toronto, Canada, and most recently, the University of Ottawa, Canada. CHD aims to develop human and organizational capacity for health-related research and quality healthcare provision in the Niger Delta region of Nigeria, built on sustainable local structure and international collaborations. He is a convener of the AuthorAid Data Science Hub, one of the guest facilitators for AuthorAID online courses, and a Biostatistician for the AuthorAID Online Journal Clubs project, INASP. Also, he advises on a potential curriculum for statistical/data analysis online courses.


Webinar recording:

Event types: