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.

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8-12 hours total study time per week, distance learning


2xwritten assignments (2x35%) and practical exercises (30%)


Marschner IC. Inference Principles for Biostatisticians. Chapman & Hall / CRC Pr, 2014. ISBN 978-1-48222-223-4. Notes supplied.

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