728 x 90

You are here

Primary tabs

DRGT, CoBAMS Mount Advanced Statistical Data Analysis PhD Training Course

The Director DRGT-Prof. Buyinza Mukadasi (Centre) and the lead Facilitator-Prof. Leonard Atuhaire (3rd R) with PhD Students at the launch of the Advanced Statistical Data Analysis Course, 7th January 2019, Main Library, Makerere University, Kampala Uganda

The Directorate of Research and Graduate Training (DRGT) in partnership with the School of Statistics, College of Business and Management Sciences (CoBAMS) led by Prof. Leonard Atuhaire on Monday, 7th January 2018 commenced a 3-week training course in the practical application of statistics for analysis of research data. The course revisits standard statistical techniques together with comprehensive hands on illustration of their application using a standard statistical package (e.g. STATA).

By the close of the course, students are expected to have acquired the ability to choose the appropriate statistical technique(s) to use for the type of data to be collected as well as correct interpretation of the results. In this course we prepare our students to turn raw numbers into meaningful data through the application of rational and critical thinking.

Our training is rich and covers aspects of basic Probability theory-basic probability concepts; discrete distributions;  binomial; normal distribution; elements of Statistical Inference including confidence intervals; Introduction & Data Analysis with STATA, descriptive statistics; T-test; sampling size and precision; random, systematic, stratified, cluster, multistage; cohort studies, case-control studies; preparing a contingency table; Chi-square test; non-Parametric Statistics involving two sample tests; Comparison of several samples; Ranks correlation coefficients; Bivariate Correlation; linear Regression and multiple Regression - Partial regression coefficients; Model (variable) selection; Regression with dummy variables.

Even with this general training, we still encourage our PhD students to seek advice from their thesis/dissertation supervisor(s) and subject experts regarding the appropriate statistical analyses in general and the choice of statistical software appropriate for their research project.

Article by Professor Buyinza Mukadasi, Director DRGT, Makerere University

Liked it? Share it..