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CARTA Fellows

Francis Fagbamigbe

University of Ibadan

Country: Nigeria

Institution: University of Ibadan

Area of Research: Modeling association between bivariate censored outcomes: a case study of bipolar disorder


Bio:

Francis holds a doctorate degree in Medical Statistics in addition to master’s degree in Medical Statistics, Project Development and Implementation and First Class Honours degree in Statistics. He has a keen interest in Application of Statistics and Demography in Human Health. He has taught and mentored several Undergraduate and Postgraduate students and also conducted research and surveys which centered on disease modelling and applications of Biostatistics, survival analysis, time series analysis, project development, monitoring and evaluation, curriculum development as well as data analysis, interpretation and reporting. Francis has published research and academic papers and over published over 40 papers that utilized advanced statistical techniques and methodologies in peer reviewed journals with another set undergoing review. His career goal is to strive to be among the top 100 in his field- this has always been his aspiration. For the materialization of this aspiration, he has dedicated time to his academic endeavours-both his studies, teachings and research-over the past ten years. He aspires to be globally recognized in Biostatistics and Medical Statistics with special interest in Survival Analysis and Statistical Modelling of diseases and Inferences. He has also widened his research into Epidemiology, Demography, Categorical data analysis, Experimental Design, Advanced Likelihood techniques and general application of statistics in solving population, clinical and public health problems.
He teaches postgraduate students MSc Statistics, MSC Medical Statistics as well as MPH students with required statistical skills to achieve their academic and career goals. Some of the courses he teaches include; Probability and Applied Probability, Statistical Modelling, Statistical Inferences, Clinical Trials, Survival Analysis, Categorical data analysis, Design and analysis of experiments, Non-parametric statistics, Research Methodologies, Medical Statistics and Biostatistics.