For details of the Assessments, see the section below
For detailed description of the assignments and marking, see the Assignments section
Description of Each Block
All classes for 2019 will be held at Wheki 105.
Block 1 (Critical reading of health research)
Day One, 27th February 2019, 9 AM - 3 PM
9 AM - 9:20 AM: Introduction to the course (Introduce each other and set the scene for the course)
9:20 AM - 9:30 AM: Morning break
9:30 AM - 11:00 AM: Session 1: Professor Vincent Mor will teach critical appraisal of literature
11:00 AM - 11:30 PM: Session 2: Class discussion: identify your research idea and present/discuss
11:30-12:30 PM: Session 3: Introduction to causal inference (assumptions, hypothesis testing, bias, confounding, causal criteria) in health sciences
12:30 - 1:30 PM: Lunch break
1:30 PM - 3:00 PM: Session 4: Critical appraisal of articles in health sciences
Day Two, 28th February, 9 AM - 3 PM
9 AM - 10 AM: Identifying funding sources for your study - Dr Kathryn Mackinven will discuss how you can identify funding sources for your research
10:00 AM - 11:00 AM: Epidemiological and health sciences related study designs
11:00 AM - 12:00 PM: Critical appraisal of articles in health sciences, part 2
12:00 PM - 1:00 PM: Lunch break
1:00 PM - 2:00 PM: Information retrieval (Margaret Paterson), Central Library Den
(Between 2:00 PM and 2:30 PM, students return to the classroom at Wheki 105)
2:30 PM - 3:00 PM: Discussion session on writing the first assessment
Associated Assessment: Research Idea; deadline: 14th March, 2019, 5 PM via Learn
Block II (Epidemiological Data analysis)
Day One, 27th March, 9AM - 3 PM
These two days will be spent in learning about data in health sciences, how to obtain, clean, process and test with your data. No previous knowledge of statistics or expertise with any software is needed or expected; these are slow paced workshop formats. At the end of the two days of working with data, students will become competent practitioners of handling data and simple analysis (tabulation and creating graphs).
9 AM - 10 AM: Session with Anton Angelo on finding data
10 AM - 3 PM: How to manage and conduct epidemiological data analysis
10 AM - 12 PM: Data organisation in spreadsheets for health sciences
12-1 PM: Lunch break
1 - 3 PM: Data cleaning for health sciences
Day Two, 28th March, 9AM - 3 PM
9 AM - 12 PM: Manipulating data for health sciences and epidemiology using tidyverse and dplyr
12 PM - 1 PM: Lunch break
1 - 3 PM: Visualisation using ggplot
Assessment II: Write a report on your analysis of a data set provided, deadline 14th April, 2019, 5 PM, via Learn
Block III (Critical Writing of Research)
(The details of the schedule are tentative, will be finalised
Day One, 8th May, Wednesday, 2019
9 AM - 10 AM: Introduction to STROBE
10 AM - 12:00 PM: Students examine journal articles using STROBE as a tool for composing journal articles
12:00 PM - 1:00 PM: Lunch break
1:00 PM - 2:00 PM: Introduction to GRADE
2:00 PM - 3:00 PM: Students learn to use the web based GRADE tool for quality appraisal of available evidence
Day Two, 9th May, Thursday, 2019
9 AM - 12:00 PM: Critical Writing of Research Papers using discourse analysis
12:00-1:00 PM: Lunch break & distribution of research paper assignments
1:00 PM - 3:00 PM: Workshop on writing a Masters/PhD research proposal
Assessment III: Research Proposal, deadline: 25th May, 2019, 5 PM, via Learn
Assessment
Principles