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Prof
Atinuke Olusola Adebanji

A Seasoned Statistics and Biostatistics Expert.

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Atinuke Olusola Adebanji, a dedicated educator, imparting statistical expertise, fostering critical thinking and informed decision-making with quality data-analysis.

With the knowledge acquired across my experience in multidisciplinary fields in the space of statistics and data-analysis, I have been honored to speak and share my knowledge on professional and international stages.

Teaching, to me, is not just a profession; it's a profound opportunity to ignite curiosity, empower critical thinking, and inspire a lifelong passion for statistical knowledge. I understand that statistics can appear formidable with its complex mathematical aspects, but I firmly believe that it is an indispensable tool for nurturing analytical minds.

Other Engagements

View my Research, Workshops, Awards and other professional engagements.

DigitALL

International Women's Day.

Ensuring today's technology benefits all girls and women.

USAID

US Agency for International Development

How one woman is using her experience to help others advance in Statistics.

Financial Economics Forum

Keynote Speaker

Impact of Socio-Economic policies on trade and industry in developing countries.

My Publications


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Adebanji A, Rios Insua D, & Ruggeri, F. (2022)

‘Dynamic linear models for policy monitoring. The case of maternal and neonatal mortality in Ghana’, Socio-Economic Planning Sciences, Elsevier, 83(101348), ISSN 0038-0121.

Butakor P., Guo Q. & Adebanji A.O. (2020)

‘Using structural equation modelling to examine the relationship between Ghanaian teachers' emotional intelligence, job satisfaction, professional identity, and work engagement’, Psychology in the Schools, Wiley Online, 58(3, pp. 534-552).

Aidoo E. N, Adebanji A. O., Awashie G. E. & Appiah S. K. (2021)

‘The effects of weather on the spread of COVID-19: evidence from Ghana’, Bulletin of the National Research Centre, SpringerOpen 45(1), pp. 20.

Salako V.K, Adebanji A. & Kakai R. (2013)

‘On the Empirical Performance of Non-Metric Multidimensional Scaling in Vegetation Studies’, International Journal of Applied Mathematics and Statistics (IJAMAS), 36(6), pp. 54-67.