Short courses

Looking to advance your career, learn something new or update/refresh your skills in epidemiology and data analysis then consider a short course at the EpiCentre.

Upcoming courses

Multiple linear regression & Categorical data analysis and logistic regression 
are now open for registration.

Multiple linear regression (5th to 8th June – 3.5 days)

What you will learn
You will learn how to analyze data using multiple linear regression in R. The unit will cover how to run and interpret a simple and multivariable linear regression model, control for confounders and test for effect modification, evaluate models and teach strategies for selecting the ‘best’ model.

Assumed knowledge
The course assumes that you are able to complete exploratory data analysis in R. If you do not have the prior learning we recommend completing the Introduction to data analysis and statistical inference (4 to 13th April). If this is not an option please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors
Naomi Cogger

Cost
Regular $1,050 GST inclusive
Massey staff $450 (GST exclusive so transfer amount)
Massey student $220 (GST exclusive so transfer amount)

Inclusions
3.5 days tuition, course material, morning tea and afternoon tea

Categorical data analysis and logistic regression (11th to 14th June 2018 – 3.5 days)

What you will learn
This course covers analysis of epidemiological studies where the outcome is a binary categorical variable (e.g. case/control, diseased/not diseased). Topics covered include: the Mantel-Haenszel test for the combination of several two-by-two tables, with estimation of the combined odds ratio and confidence limits, multiple logistic regression models; evaluation of logistic regression models; and use of logistic regression models for prediction and the ROC curve.

Assumed knowledge
The course assumes that you are able to complete exploratory data analysis in R. If you do not have these skills we strongly recommend you complete the If you do not have the prior learning we recommend completing the Introduction to data analysis and statistical inference (4 to 13th April). If this is not an option please contact us so we can discuss options for gaining access to self-directed learning modules. 

Instructors
Chris Compton and Emilie Vallee

Cost
Regular $1,050 GST inclusive
Massey staff $450 (GST exclusive so transfer amount)
Massey student $220 ((GST exclusive so transfer amount)

Inclusions
3.5 days tuition, course material, morning tea and afternoon tea


Introduction to survival analysis (23rd to 25th October 2018 – 3 days)

What you will learn
Students will learn how to conduct an analysis of data from studies in which individuals are followed over time until an event occurs (e.g. death, recovery, culling) in a way that allows those individuals who do not experience the event to contribute data. The course covers: Kaplan-Meier life tables; statistic tests to compare groups; Cox’s proportional Hazards regression model including model checking; Parametric survival analysis; and sample size calculations.

Assumed knowledge
The course assumes that you are able to complete exploratory data analysis in R. If you do not have these skills we strongly recommend you complete the If you do not have the prior learning we recommend completing the Introduction to data analysis and statistical inference (4 to 13th April). If this is not an option please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors
Naomi Cogger and Chris Compton

Cost
Regular $860 GST inclusive
Massey staff $375 (GST exclusive so transfer amount)
Massey student $200 (GST exclusive so transfer amount)

Inclusions
3 days tuition, course material, morning tea and afternoon tea

Introduction to Poisson Regression (29th October 2018 – 1 day)

What you will learn
This short one day course will introduce students to Poisson regression which can be used for the analysis of count data. Student will learn how to construct a multivariable Poisson model; evaluate a Poisson model; and gain awareness of approaches that can be used when the data is over-dispersed.

Assumed knowledge
The course assumes that you are able to complete exploratory data analysis in R and understand the key concepts of multivariable modelling. If you do not have these skills we strongly recommend you complete the If you do not have the prior learning we recommend completing the Introduction to data analysis and statistical inference (4 to 13th April) and multiple linear regression (5th to 8th June). If this is not an option please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors
Naomi Cogger

Cost for
Regular $60 GST inclusive
Massey staff $50 (GST exclusive so transfer amount)
Massey student $50 ((GST exclusive so transfer amount)

Inclusions
1 days tuition, course material, and morning & afternoon tea.

Introduction to GIS and spatial data (30th October to 1 November 2018 – 3 days)

What you will learn
We will introduce participants to the use of GIS, and learn how to visualize and describe spatial data and how to detect spatial clustering. You will be using R and QGIS during the course.

Assumed knowledge
The course assumes that you are able to complete exploratory data analysis in R. If you do not have these skills we strongly recommend you complete the If you do not have the prior learning we recommend completing the Introduction to data analysis and statistical inference (4 to 13th April). If this is not an option please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors
Chris Compton and Art Subharat

Cost for
Regular $860 GST inclusive
Massey staff $375 (GST exclusive so transfer amount)
Massey student $200 (GST exclusive so transfer amount)

Inclusions
3 days tuition, course material, morning tea and afternoon tea

Advanced courses

From November 2018 to January 2019 we will offer advanced courses which will require students to have prior learning in the areas of exploratory data analysis and multivariable modelling.

  • Multi-level modelling from the 26th to 30th November 2018
  • Diagnostic test evaluation (including in the absences of a gold standard) from the 3rd to 7th December 
  • Advanced survival analysis from the 22nd to the 25th January 2019
  • Dealing with correlated, multinomial and matched data from the 28th to 31st January

Past courses

  • Introduction to data analysis 2018
  • Introduction to Statistical inference 2018
  • Advanced spatial epidemiology 2018
  • Infectious disease modelling 2018
  • Introduction to time series analysis 2018
  • Multi-level modelling 2017
  • GIS & Introduction to spatial analysis 2017
  • Meta-analysis 2017
  • Workshop on Applied Bayesian Statistics with a focus on diagnostic tests in the absence of gold standard 2015
  • Validity in Observational Studies "dealing with bais and missing data "  2015
  • Analysis of Time-to-Event Data for Medical and Veterinary Epidemiologists 2014
  • An Introduction To Multilevel Modelling 2013
  • Endemic Disease Surveillance Workshop 2010
  • EpiBranch Seminar and Workshop 2009
  • Making Sense of Science 2008

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