Principles of Statistical Inference (PSI)

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.


Coordinator

Semester 1: Ms Liz Barnes; NHMRC Clinical Trials Centre, University of Sydney

Semester 2: Dr Erin Cvejic; Sydney School of Public Health, University of Sydney


COORDINATORS:
Ms Liz Barnes University of Sydney, NHMRC Clinical Trials Centre Semester 1
Dr Erin Cvejic University of Sydney, Sydney School of Public Health Semester 2
General outline

Prerequisites

Mathematical Background for Biostatistics, Probability and Distribution Theory

Time commitment

8-12 hours total study time per week

Semester availability

Semester 1 & 2

Assessment

Two major assignments worth 40% each and module exercises worth a total of 20%

Prescribed Texts

Marschner IC. Inference Principles for Biostatisticians. Chapman & Hall / CRC Pr, 2014. For details, including ISBN, see the BCA Textbook and Software Guide

Special Computer Requirements

R or Stata statistical software

Content

Review of the key concepts of likelihood, and construction of Normal-theory confidence intervals; frequentist theory of estimation including hypothesis tests; methods of inference based on likelihood theory, including use of information and the likelihood ratio; Wald and score tests; an introduction to the Bayesian approach to inference; an introduction to distribution-free statistical methods.

Special Computer Requirements

Lectures, assignment material and interaction facilities available online