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

Introduction to survival analysis, Introduction to Poisson Regression and Introduction to GIS and spatial data
are now open for registration.

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
This course assumes that you are able to complete exploratory data analysis, simple and multiple linear regression and logistic regression in R. If you do not have this knowledge and still want to attend the course 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
4.5 days tuition, course material, morning tea and afternoon tea

Multi-level modelling from the 26th to 30th November 2018

What you will learn
In this course you will learn how to build, interpret and assess multilevel linear and logistic models to account for clustering in the data and repeated measures, with a focus on binary outcomes. 

Assumed knowledge
This course assumes that you are able to complete exploratory data analysis, simple and multiple linear regression and logistic regression in R. If you do not have this knowledge and still want to attend the course please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors
Emilie Vallee and Cord Heuer

Cost for 
Regular $1300 GST inclusive
Massey staff $550 (GST exclusive so transfer amount)
Massey student $250 (GST exclusive so transfer amount)

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

Diagnostic test evaluation (including in the absences of a gold standard) from the 3rd to 7th December 

What you will learn
In this course you will learn how to use Bayesian methods to evaluate diagnostic tests, including continuous tests where a cutoff has to be chosen) in the absence of a gold standard and how to estimate true prevalence.

Assumed knowledge
This course assumes previous knowledge on tests sensitivity, specificity and predictive values, as well as logistic regression and ROC curves (ideally using R). No previous experience with Bayesian methods is required. If you do not have this knowledge and still want to attend the course please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors
Geoff Jones, Emilie Vallee and Cord Heuer

Cost for 
Regular $1300 GST inclusive
Massey staff $550 (GST exclusive so transfer amount)
Massey student $250 (GST exclusive so transfer amount)

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

Advanced survival analysis from the 22nd to the 25th January 2019

What you will learn
coming soon

Assumed knowledge
coming soon

Instructors
Naomi Cogger and Chris Compton 

Cost for
Regular $1450 GST inclusive
Massey staff $650 (GST exclusive so transfer amount)
Massey student $300 (GST exclusive so transfer amount)

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

Dealing with count, multinomial and matched data from the 28th to 31st January

What you will learn
In this course you will learn how to analyze data with discrete or categorical response, including incidence data, using methods such as Poisson, ordinal and multinomial regression; account for designs with matching on outcome or exposure using conditional logistic regression; analyze count data with an excess of zeros. 

Assumed knowledge
This course assumes that you are able to complete exploratory data analysis and simple and multiple logistic regression in R. If you do not have this knowledge and still want to attend the course please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors
Emilie Vallee and Cord Heuer

Cost for
Regular $1150 GST inclusive
Massey staff $500 (GST exclusive so transfer amount)
Massey student $250 (GST exclusive so transfer amount)

Inclusions
4 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.

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