Biostatistics for Clinical and Public Health Research - PDM1041

This short course introduces clinical and public health researchers to biostatistics as applied to public health and management studies. Biostatistics is the science of describing, summarising and analysing health-related data. It is essential to understand biostatistics in order to design, conduct and interpret health-related research. The basic principles and methods used in biostatistics are covered in this short course, including the technical qualifications necessary for analysing and interpreting data on a descriptive and bivariate level.

Alumni discounted fees

1 Day: $500
2 Days: $950
3 Days: 1,400

Students: 50% discount. Alfred staff / Monash staff / Alumni: 10% discount

Note: It will be conducted online in the event of COVID-19 restrictions

Course Outline

Topics include: classification of health data; summarizing data using simple statistical methods and graphical presentation; sampling distributions, quantifying uncertainty in results from a sample; statistical distributions; comparing two/more groups/methods using confidence intervals and hypothesis tests (p-values); assessing the association between an outcome and an exposure using the chi-squared test; risk comparisons (RR & OR); prediction of an event or identifying risk factors for an event of interest where the event is measured on a continuous scale or a binary scale (yes/no); sample size calculations.

Attendees will be very briefly introduced to the computerised statistical package, SPSS. However, if you are not proficient in using SPSS, it is recommended you register for the SPSS short course. In the SPSS short course theory will be complemented by the use of applied examples and exercises to enhance understanding and facilitate development of practical skills.