Learning outcomes
Upon successful completion of the workshop, participants will be able to:
- Understand and interpret commonly reported statistical measures published in healthcare research
- Analyze the different type of data using appropriate statistical software
- Demonstrate a good understanding of descriptive statistics and graphical tools
- Explain fundamental concepts of estimation and hypothesis testing and be confident when interpreting P values and confidence intervals
- Produce some common statistical performance measures such as sensitivity, specificity, positive and negative predictive values, ROC curve and Area under the ROC curve
- Compute and interpret some common measures of association such as absolute risk, relative risk, odds and odds ratio
- Demonstrate a good understanding of measures of correlations
- Produce output for multiple linear regression models and interpret their meanings
- Produce output for multiple logistic regression models and interpret their meanings
- Distinguish between different regression models based on the research question
