Epidemiology and Biostatistics Module Details

Rationale

This course is essential in preparing students for the analytical demands of modern nursing practice, enabling them to guide evidence-based improvements in nursing care. It introduces the fundamental epidemiological principles and their application to the study of health-related events in populations alongside an overview of biostatistical concepts and techniques necessary for rigorous data analysis. 

The aim of this course is to equip students with knowledge and skills in the use of statistics and the utilisation of epidemiology to enhance the quality in health care.

Learning Outcomes (Competences)  

At the end of the course students will be expected to:

Part 1: Epidemiology
(i)     Describe the basic elements of epidemiology.
(ii)    Explain disease Screening.
(iii)   Outline the measures of disease frequency.
(iv)   Identify measures of Association.
(v)    Identify and explain the types of bias.
(vi)   Explain the concept and effects of confounding in epidemiological estimations.
(vii)  Explain causal Inference in epidemiology.
(viii) Describe the study design in epidemiological research. 

Part 2: Biostatistics 
(i)    Explain the process of data analysis. 
(ii)   Demonstrate basic statistics computing Using SPSS. 
(iii)  Describe descriptive statistics. 
(iv)  Explain the measures of central tendency 
(v)   Explain the measures of dispersion.
(vi)   Analyse the basic probability theory 
(vii)  Define the purpose and types of statistical inference. 
(viii) Explain the hypothesis testing procedure.
(ix)   Explain the sample analysis of variance. 
(x)    Identify the uses and measures of correlation. 
(xi)   Describe linear analysis.
(xii)  Explain non-parametric tests.