EPM5003

Principles of statistical inference ( 6 points, SCA Band 2, 0.125 EFTSL)

Leader: Dr A Kirby

Offered:
MMS-ALFRED Second semester 2006 (OCL)

Synopsis: The unit will introduce the core concepts of statistical inference, beginning with estimators, confidence intervals, type I and II errors and p-values. The emphasis will be on the practical interpretation of these concepts in biostatistical contexts, including an emphasis on the difference between statistical and practical significance

Objectives: On completion of this unit the student will: 1. have a deeper understanding of fundamental concepts in statistical inference and their practical interpretation and importance in biostatistical contexts; 2. understand the theoretical basis for frequentists and Bayesian approaches to statistical inference; 3. be able to develop and apply parametric methods of inference, with particular reference to problems of relevance in biostatistical contexts; 4. have the theoretical basis to understand the justification for more complex statistical procedures introduced in subsequent units; 5. have an understanding of basic alternatives to standard likelihood-based methods, and be able to identify situations in which these methods are useful.

Assessment: Two written assignments + Practical exercises

Prerequisites: EPM5002