Courses Catalogue

Biostatistics

COURSE CODE: PHB 1304
COURSE CREDIT UNIT: 3
ACADEMIC PROGRAMME: Medical Laboratory Sciences, B.Sc
COLLEGE/SCHOOL/FACULTY: School of Allied Health Sciences
STATUS: Core
PROGRAMME TYPE: Undergraduate

Course Description

COURSE DESCRIPTION

This course presents the fundamental principles and objectives of biostatistical knowledge needed in biomedical science practices. Topics covered include; Principles of statistics, Measurements, Experiment & Survey, Different study designs, Sampling procedures, Sample size calculation, Simple random and cluster surveys, Different data collection methods and instruments, Various sources of data and their use, Use of statistical methods in data analysis and interpretation, Measures of central tendency, variation and skewness, Probability theory including the laws of probability and probability distributions, Hypothesis testing using among others chi Square and ttests, Analysis of variance (ANOVA), Confounding, dependent and independent variables, Correlation and regression, Data transformations, Non-parametric methods, Rates and ratios,

Measure of Disease, Quality control methods, Methods of data presentation  

 

COURSE AIM

The aim of this course is to develop the student’s knowledge and understanding of principles of biostatistics and its applications in the field of biomedical sciences. The course gives the student the ability to independently take part in biomedical research and development work.

EXPECTED LEARNING OUTCOMES 

At the end of the course, students will be able to:

1.   Explain the common statistical techniques and terminology used in studies that are presented in popular press and health related data.

2.   Describe the principles of biostatistics and it’s used in the field of public health.

3.   Use numeric and graphical techniques to display and summarize medical and health related data.

4.   Discuss what biostatistics is and how it is used in the field of health science

5.   Estimate the value of various population parameters from a sample of data

6.   Test the hypothesis that the value of a population parameter equals a certain value