Advanced Quantitative Methods I
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2024047637
S$1,620
Original: S$5,400
Save S$3,780
About This Course
This course introduces the principles of statistical modelling, and applies statistical models such as multiple linear regression, logistic regression and Cox proportional hazards model to a variety of practical medical or public health problems. It further discusses methods for analysing repeated measurement data, assessment of model fit, handling of confounding and evaluation of effect modification.
What You'll Learn
Upon completion of the course, the participants 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.
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.
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
Course Details
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