EPM5003 Principles of statistical inference

When you finish this unit, you should be able to:

1. 1

   Have a deeper understanding of fundamental concepts in statistical inference and their practical interpretation and importance in biostatistical contexts.

2. 2

   Understand the theoretical basis for frequentists and Bayesian approaches to statistical inference.

3. 3

   Be able to develop and apply parametric methods of inference, with particular reference to problems of relevance in biostatistical contexts.

4. 4

   Have the theoretical basis to understand the justification for more complex statistical procedures introduced in subsequent units.

5. 5

   Have an understanding of basic alternatives to standard likelihood-based methods, and be able to identify situations in which these methods are useful.