Dr. Kadengye Damazo

 

Deputy Dean and Graduate Studies Coordinator, Faculty of Interdisciplinary Studies (FIS)

 

Background

Dr. Damazo T. Kadengye, (B.Stat, MSc, PhD) is a Deputy Dean and Graduate Studies Coordinator, Faculty of Interdisciplinary Studies (FIS) of Mbarara University of Science and Technology (MUST) since February 2016. Before joining MUST as full time staff, Damazo worked as a Lecturer on part-time basis at the IITR in the Department of Gender and Women Studies for two academic years. Damazo has excellent knowledge and is passionate about data management and advanced statistical methods.

He has over 10 years of practice, consultancy and research experience in multidisciplinary fields of public health and educational sciences. Damazo received a Bachelor of Statistics from Makerere University, Kampala; a Master of Biostatistics from Universiteit Hasselt, Belgium; and a PhD in Applied Statistics of Educational Sciences from the Katholieke Universiteit Leuven, Belgium. Damazo has authored a number of scientific articles (peer reviewed publications) in high impact peer reviewed journals and has made presentations at several international academic conferences.

Damazo started his professional life with The AIDS Support Organization (TASO) in 2004, first as an Assistant Data Manager, and then as a Data Management Officer. In September 2007, he was selected as a Vlaamse Interuniversitaire Raad (VLIR-UOS) Scholar for a two-year Master of Biostatistics degree at Universiteit Hasselt, Belgium; from where he enhanced his career and interest in biostatistics and epidemiological research. He then embarked on his Doctoral research from October 2009 – May 2013, focusing mainly on application of advanced statistical techniques to model hierarchical data with missing/incomplete observations and longitudinal growth patterns.  In September 2013 to, Dr. Kadengye joined the Centers for Disease Control and Prevention in Uganda in September 2013 as a Public Health Specialist – Implementation Science. In this role, Dr. Kadengye assisted in writing and monitoring the implementation of several epidemiological research studies. He also participated in monitoring of the capacity of health facility sites of the Ministry of Health of Uganda to provide high-quality HIV/AIDS services in all program areas, data quality assessments, identifying research and programmatic gaps and making recommendations for improvement.

Damazo is an External Examiner for School of Statistics and Planning; College of Business and Management Sciences (CoBAMS), Makerere University, Kampala (MUK). He has also worked as an External Examiner and short courses Instructor for the Institute of Health Policy and Management; International Health Sciences University (IHSU), Kampala.

Statistical Software:

Damazo is proficient in number of statistical software including Excel, SAS, SPSS, R, STATA, Epi-Info, Epi-Data, WinBUGS, MATLAB, RDS-Analyst, R-Studio, and SPLUS.

Research interests:

Statistical modeling – Missing Data Methods, Multilevel Data Analysis, Logistic Regression, Longitudinal Data Analysis, and (Generalized) Linear Mixed Effects Models.

Domains: HIV/AIDS, Pregnancy, Adolescents and Young People, Public Health and Educational Sciences

Publications:

A.      Theses

           i.         Kadengye, D. T. (2013). Explanatory item response modeling of structurally involved educational data. Doctoral degree dissertation, University of Leuven.

         ii.         Kadengye, D. T. (2009). Obesity and feeding during pregnancy: A randomized intervention trial. Master degree dissertation, Hasselt University.

       iii.         Kadengye, D.T. (2003). Assessment of the effects of alcoholism on housing conditions: A case study of Bumbeire Sub-county, Bushenyi District, Uganda. Bachelor          degree dissertation, Makerere University.

B.      Peer Reviewed Publications

       iv.       Kadengye, D. T., Ceulemans, E., & Van den Noortgate, W. (2015). Modelling growth in electronic learning environments using a longitudinal random item response     model. Journal of Experimental Education,83,175-202.

         v.         Kadengye, D. T., Ceulemans, E., & Van den Noortgate, W. (2014) Direct likelihood analysis and multiple imputation for missing item scores in multilevel cross-classification educational data. Applied Psychological Measurement, 38, 61-80.

       vi.     Kadengye, D. T., Van den Noortgate, W., & Ceulemans, E. (2014). A generalized longitudinal mixture IRT model for measuring differential growth in learning        environments. Behavior Research Methods, 46, 823-840.

     vii.         Kadengye, D. T., Cools, W., Ceulemans, E., & Van den Noortgate, W. (2011). Simple imputation methods versus direct likelihood analysis in multilevel education data. Behavior Research Methods, 44, 516-531.

C.      Conference Presentations

   viii.         Kadengye, T.D., Ceulemans, E., & Van den Noortgate, W. (2013). Application of random item IRT models to longitudinal data from learning environments. CASI 2013: 33rd International Conference on Applied Statistics, Clane, Co. Kildare, Ireland. May 15 – 17. (Oral presentation)

       ix.      Kadengye, T.D., Ceulemans, E., & Van den Noortgate, W. (2013). A generalized longitudinal mixture IRT model for measuring differential growth in learning            environments. CASI 2013: 33rd International Conference on Applied Statistics, Clane, Co. Kildare, Ireland. May 15 – 17. (Poster presentation)

         x.         Kadengye, T.D., Ceulemans, E., & Van den Noortgate, W. (2012). Multiple imputations for missing binary item scores in multilevel cross-classified educational data when   the Analysis and Imputation models differ. Leuven Statistics Days 2012, Leuven, Belgium. June 7 – 8. (Poster presentation)

       xi.        Kadengye, T.D., Ceulemans, E., & Van den Noortgate, W. (2012). Missing item scores in multilevel cross-classified educational data: An empirical Bayes Multiple Imputation approach. Modern Modeling Methods (M3) 2012 Conference, Connecticut, Storrs, USA. May 22 - 23. (Oral presentation)

     xii.       Kadengye, T.D.,Van Den Noortgate,W., and Ceulemans, E. (2010). Statistical Modeling of e-learning Data with Missingness Problems. EAM-SMABS 2010: IV European Congress of Methodology, Potsdam/Berlin, Germany July 21-23.(Oral Presentation)

   xiii.       Kadengye, T.D.,Van Den Noortgate,W., and Ceulemans, E. (2010). Statistical Modeling of Educational Data with Missingness Problems. iTEC2010: 1st International Conference on Interdisciplinary Research on Technology, Education and Communication, Kortrijk, Belgium, 25th - 27th May.(Oral Presentation).

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