Advanced Quantitative Methods II
About This Course
Upon completion of this course, you will be able to:
1. Build statistical models for outcomes involving binomial, normal, survival or repeated measures data.
2. Summarise and interpret the effect estimates in the context of real life medical or public health data.
3. Assess model fit, confounding and effect modification.
4. Test the validity of the assumption underlying each model.
5. Discuss the uses and limitations of multi-variable analyses.
6. Apply the statistical models learnt to real life medical or health outcome data.
7. Independently analyse and infer the results based on the models generated.
What You'll Learn
Entry Requirements
• Bachelor’s degree
• Relevant public health related work experience
•Prior knowledge of elementary statistics is required
• Working knowledge of STATA.
• Candidates with other qualifications and experience may be considered on a case by case basis, subject to approval.