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.
8-12 hours total study time per week, distance learning
Two major assignments worth 40% each and module exercises worth a total of 20%.
Marschner IC. Inference Principles for Biostatisticians. Chapman and Hall / CRC Pr, 2014. ISBN 978-1-48222-223-4. Notes supplied.