Monash home  About Monash  Faculties  Campuses  Contact Monash 
Staff directory  AZ index  Site map 
Postgraduate 
(MED)

Leader: Dr A Kirby
Offered:
MMSALFRED 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 pvalues. 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 likelihoodbased methods, and be able to identify situations in which these methods are useful.
Assessment: Two written assignments + Practical exercises
Prerequisites: EPM5002