Advanced Epidemiology and Modelling Course
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Study Designs in Epidemiology
- An overview of different study designs and how to decide which to use
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Sampling
- Sample size and sample size calculations Sampling methods
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Validity and Precision
- Accuracy, precision, reliability and validity. Cronbach's alpha, strategies for enhancing accuracy and strategies for enhancing precision
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Exercise - Sensitivity and Specificity
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Confounding Bias
- Different types of bias, and ways to try and reduce it
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Interaction
- choosing the right analysis to look at effect modifiers/ interactions
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Designing a study
- Using the TANDEM study as a case, looking at the process of designing a study
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Exercise - Study design
- Exercise relating to study design TANDEM case
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Logistic Regression
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Survival analysis
- Kaplan Meier product limit estimates of survival. Cox proportional hazards model
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Poisson Regression
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Poisson Regression further reading 2
- A Modified Poisson regression approach to prospective studies with binary data
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Poisson Regression further reading 1
- Comparison of robustness to outliers between robust poisson models & log-binomial models when estimating relative risks for binary outcomes: a simulation study
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Multilevel modelling
- Introduction to multilevel modelling
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An example: The IMPACT Model
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Markov models: Theory
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Economics Concepts useful in Modelling
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Whole folder