Principles of Statistical Inference
BSTA5002
The aim of this unit is to provide a strong mathematical and conceptual foundation in the methods of statistical inference, with an emphasis on practical aspects of the interpretation and communication of statistically based conclusions in health research. Content covered includes: review of the key concepts of estimation and construction of Normal-theory confidence intervals; frequentist theory of estimation including hypothesis tests; methods of inference based on likelihood theory, including use of Fisher and observed information and likelihood ratio; Wald and score tests; an introduction to the Bayesian approach to inference; an introduction to distribution-free statistical methods.
Unit of study details
Unit of study level: Postgraduate
Credit points: 6
Commencing semesters: 1, 2
Further unit of study information
Unit of study handbook: BSTA5002
Costs and scholarships information: Costs and Scholarships
Final dates to withdraw from units of study: Census Dates
Available for study abroad and exchange: No