Description of Each Block
Block 1 (Health Research Methods and Statistics Overview)
2nd and 3rd March, 2017, 9 AM - 3 PM, DA03
Day One, 2nd March, 9 AM - 3 PM
9AM - 9:50AM. – Orientation to the course
10-10:50. – Finding funding for your research (Kathryn Mackinven, R&I, University of Canterbury)
11-11:50. – Research Designs in Health Sciences (Arin Basu)
12-12:30. – Lunch break
12:30-12:50. – Facilitated group discussions about questions and designs the students would use for their research proposal (problems and challenges will be distributed beforehand)
1:00-1:30. – Reporting guidelines (Attention to
STROBE guidelines)
(Philip Schluter)
1:30-2:50.-- Descriptive measures and STATA (Lecture/interactive
session) (Philip Schluter)
1:30-2:30 – Sample Size (lecture) (Philip Schluter)
2:30-2:50 – Sample size practical (Philip Schluter)
Day Two, 3rd March, 9AM - 3 PM
9:00-9:50 – Descriptive measures and STATA practical (Philip Schluter)
10:00-10:50 – Comparing Groups (Lecture; Philip Schluter)
11:00-12:30 – Comparing groups in STATA practical
12:30-1:00 LUNCH
1:00-1:50 – Sample Size (lecture)
2:00-2:50 - Sample Size (practical)
Block II (Data Preprocessing)
6th April 2017, 9AM - 3 PM, Dovedale DA03
9AM - 9:50AM: How to search for data sets on the web (Anton Angelo)
10:00-10:50 AM: How to draft questionnaires and instruments (Arin)
11:00-11:50 AM: Hands on workshop - 1: Design a questionnaire
12:00-12:30 PM: Lunch break
12:30-3:00 PM: Hands-on workshop - 2: How to use Exploratory & RStudio (dplyr) to preprocess data (Data sets will be provided)
7th April 2017, 9AM - 3 PM, Dovedale DA03
9AM - 11:30AM: Hands-on Workshop - 3: How to use Stata to preprocess your data (Data sets will be provided)
11:30-12:00 PM: Introducing the Hackathon Challenge
12:00-12:30 PM: Lunch break
12:30-3:00 PM: Data Preprocessing “Hackathon” on data provided by the lecturers (group work: see below for more information) - work using Stata, Exploratory & R (dplyr)
Hackathon
The objective of the Hackathon will be to provide students an opportunity to work in groups and apply the key concepts of data preprocessing to a real world problem. The lecturers will provide the students three data sets to choose from. The groups of teams will select a data set and preprocess the data as much as they can within two hours and produce a brief presentation. They will have two hours to read the data, preprocess the data and prepare presentations.
Block III (Data Analysis in Health)
11th May, 2017, 9AM - 3PM, DA03
9:00-9:50 – Statistics and STATA in review (interactive session - where students bring practical questions etc)
10:00-10:50 – Introduction to regression (lecture)
11:00-11:50 – Regression in STATA (practical)
12:00-12:30 LUNCH
12:30-1:30 - Confounding and effect modification (lecture)
1:30-2:30 – Confounding and effect modification in STATA (practical)
2:30-2:50 – wrap-up
12th May, 2017, 9AM - 3 PM, DA03
9:00-9:50: How to search and cite literature references while writing scholarly papers (Margaret Paterson, Education Library Training Room)
10:00 AM - 12:00 PM: Students work on their own data sets
12:00-12:30: Lunch Break
12:30-2:00 PM: How to write and read research (Kelly Dombrowski)
2:00-3:00 PM: Wrap up session, briefing about the second and third assignment, and Feedback from students