The course focuses on descriptive and inferential statistics as applied to medical practice.
The course starts with descriptive measures and probability concepts. Conditional probability and Bayes theory are given due emphasis to compute validity indicators for clinical and laboratory tests, i.e. sensitivity, specificity and predictive values for single and multiple tests.
The students are trained to draw statistical inferences by two main methods these are: Estimation and Hypothesis testing.
Chi-square variants are discussed with relevant clinical examples.
Statistical design of experiments is dealt with concentrating on ANOVA and regression analysis.
Students are trained to use computer software as Excel and SPSS in solving assigned exercises. The students are provided with necessary softwares at the beginning of the course to be used during the course in solving practical exercises and in data analysis