Program Overview

Biostatistics for Clinical and Public Health Research

Overview

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.

Program Structure

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.

Who Should Attend

This course is designed for medical doctors, nurses, physiotherapists, clinicians, epidemiologists, psychologists, pharmacists, biochemists and public health researchers who are interested in data analysis, report/journal article writing, report/journal article reviewing, and supervising researchers in the above areas.

What You Will Learn

On completion of this course participants will be able to:

• Discuss classification of data, various epidemiological studies, and method of data collection for evaluating research question in the concerned Epidemiological Studies
• Summarise data (using graphical display and descriptive statistics) that has been collected from the concerned populations
• Discuss the probability distributions for variables collected in public health studies (Application Level) and evaluate the sampling variability (uncertainty) in data analysis results
• Discuss the statistical significance of a hypothesis about the study population based on sample data (normality assumption holds) and evaluate the difference between two groups
• Formulate boundary values for parameters in the study population and evaluate the precision in its estimates based on sample data (normality assumption holds)
• Evaluate the difference between more than two groups based on sample data where data in each group follows the normal distribution
• Evaluate the difference between two or more groups when normality assumption does not hold or data is ordinal or discrete
• Explain the relationship between an outcome (continuous scale) and exposures and identify the truly independent exposures for the outcome of interest
• Evaluate the risk that an event (binary) will occur given a particular exposure, compared to the risk of the event occurring in the absence of that exposure
• Explain the relationship between a binary event and exposures and identify the truly independent exposures for the event of interest
• Evaluate the association between event (categorical) and exposure where either or both can have multiple categories

Program Details

• Date: 9 February 2026 - 12 February 2026
• Location: Melbourne
• Fees:
  • 1 Day - Standard Rate: $500
  • 2 Days - Standard Rate: $950
  • 3 Days - Standard Rate: $1400
  • 1 Day - UG & PG Students, Monash Alumni and Staff, Alfred Health Staff: $450
  • 2 Days - UG & PG Students, Monash Alumni and Staff, Alfred Health Staff: $855
  • 3 Days - UG & PG Students, Monash Alumni and Staff, Alfred Health Staff: $1260

Testimonials

Thank you Baki for a very educational, engaging and informative short course. You have made a dry topic really enjoyable and easily accessible. I will be recommending this course to my co-workers. Thank you so much for a fantastic 3 days. Great, relaxed teaching style. Kept me interested! Learning was easy. Concepts were simplified. Powerpoints were clear and useful. Well-paced and excellent teaching style. Thank you!

Instructor

Professor Baki Billah

Dr Baki Billah works as a Senior Lecturer at the School of Public Health and Preventive Medicine of Monash University. Dr Billah completed his PhD at Monash University, MAS at the Memorial University of Newfoundland, Canada and Master of Science and Bachelor of Science (Hons) at the University of Dhaka, Bangladesh. Before working for Monash University, Dr Billah worked at the Carleton University, Ottawa Canada, Industry Canada, Ottawa Canada, Memorial University of Newfoundland, Canada and the University of Dhaka, Bangladesh.

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