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Course Description

The course focuses on descriptive and inferential statistics as applied to medical practice. The course also covers topics in vital statistics.

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.

Vital statistics topics deal with Fertility, Morbidity and Mortality indicators.

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. 

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Course Syllabus syllabus.doc
Created at 1/5/2010 14:49 by System Account
Last modified at 1/5/2010 14:49 by System Account