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 structure
Day 1
- Classification of Data
- Data Presentation
- Statistical Distributions
Day 2
- Comparing Two Groups
- Comparing Multiple Groups
- Non-parametric Methods
Day 3
- Correlation Regression Analysis
- Quantifying Risk of Disease
- Identifying quantifying Risks of a Disease
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!
