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Unit of study_

Data Analysis for Epidemiology Research - VETS7021

Year - 2018

This Unit of Study, delivered by distance education using an online classroom, will use four case studies to introduce students to the application of three statistical procedures (linear regression, logistic regression, survival analysis) in epidemiological research for animal health and public health. Approaches to account for the impact of confounding, effect modification and clustering suitable for these statistical procedures will be discussed. After completing this unit, students will be able to: identify an appropriate statistical method for testing associations with a categorical and a continuous outcome; conduct descriptive and univariable regression analyses using standard statistical software; build multivariable linear and logistic models for measuring association of a variable with an outcome after accounting for other variables and confounders; interpret the output of regression analyses from standard statistical software and present the results in research papers and project reports; evaluate statistical results presented in epidemiology journals (such as Preventive Veterinary Medicine) and identify clustering in epidemiological data and have basic skills to account for clustering while analysing hierarchical data.

Classes
Online (Sem 2, weeks 8-14)

Assessment
Participation in online discussions (15%), 2 Written assignments (85%)

Textbooks
Veterinary Epidemiologic Research Dohoo, I., Martin, W. and Stryhn, H. 2nd edition (2009) AVC, Canada

Details

Faculty: Science

Semester 2b

10 Sep 2018

Department/School: School of Veterinary Science Academic Operations
Study Mode: Online
Census Date: 07 Oct 2018
Unit of study level: Postgraduate
Credit points: 3.0
EFTSL: 0.063
Available for study abroad and exchange: No
Faculty/department permission required? No
Location
Camperdown
More details
Unit of Study coordinator: Program Academic Supervisor: A/Prof Jenny-Ann Toribio, Instructor: Navneet Dhand
HECS Band: 3
Courses that offer this unit

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