91114 Medical Biostatistics

Course Description

The course is designed to equip students with certain definition and applied to medical practice uses of statistics. It includes the introduction to Biostatistics; The study elementary of mathematical tools, collection of data, presentation of data, summarizing of data of a quantitative Nature, probability theory – (Binomial & Normal distribution & Confidence intervals) , test of signature and the CHE square test, aspects of graphic presentation will also be covered, the comparison of two sample means; more Chi-Square distribution; correlation & Regression analysis; Vital statistics; further methods I & II; and Some other presentation will also be covered. 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 skilled to use computer software as Excel and SPSS in solving assigned exercises. The students are provided with necessary software at the beginning of the course to be used during the course in solving practical exercises and in data analysis

Learning Objective

  • At the end of the course the student should be able to:
  • 1. Define, calculate and interpret commonly used statistical methods
  • 2. Collect, organize, summarize and present data related to health sciences.
  • 3. Select and use appropriate diagrammatic representations of statistical data.
  • 4. Define probability, normal distribution, bias and random error.
  • 5. Describe methods of sampling and calculate sample size.
  • 6. Draw a representative and appropriate sample from a certain population using the appropriate sampling technique (Carry out random and cluster sampling)
  • 7. Define vital statistics, describe their method of collection.
  • 8. Estimate population parameters (means and proportions) with high reliability based on the information contained in the sample.
  • 9. Test any hypothesis about the population parameters.
  • 10. Reach decisions about large body of data by examining only a small part of the data.
  • 11. Draw scientific conclusions from data

Credits

    3

Books for this Course

  • Biosstatistcs for Medical Students by S. KaggwaLwanga
  • Wayne Daniel, Biostatistics: A Foundation for Analysis in the Health Sciences, NinthEdition, John Wiley, Newyork 2010

Times Offered

  • September 2014
  • January 2015

Faculty

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