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. The relation ship of P value and Odds ratio or Relative Risk is discussed in details. Analysis of variance, regression and correlation are also covered.
Students are trained to use computer software in solving assigned exercises. The standard text book used in this course is W. Daniel Biostatistics. This text book uses Mini tab soft ware computer program. The students are provided with necessary Mini tab software at the beginning of the course to be used during the course in solving practical exercises and in data analysis.