Friday 15 February 2019, University of Otago, Wellington
This course is being run as part of the University of Otago, Public Health Summer School 2019. It builds on the popular Introduction to Data Ethics held as part of the 2018 PHSS.
It provides a critical overview of current debates and ethical challenges regarding patient and public involvement in research (PPI), specifically in relation to biobanks and the sharing, linking and/or re-use of health-related information and data (both quantitative and qualitative).
Click here for more information and to register.
11 February – 1 March, University of Otago, Wellington
The Public Health Summer School offers practical 1–4 day courses to anyone who wants to develop their knowledge and skills. It has been providing this training for over 20 years and has grown to become the largest and longest running summer school of its type in the Southern Hemisphere. There are 30 courses to choose from including 16 new courses. Courses vary from small group computer lab classes to interactive workshops and multi-speaker symposiums.
Click here for more information on the courses on offer and to register.
The New Zealand Social Statistics Network (NZSSN) is running a two day course introductory course on SQL.
Auckland: 26-27th February, 2019
We start with a short introduction to database technologies, covering the basic structure of a database and the usefulness of the SQL relational database model. We dive into SQL coding, beginning with easy examples and the most useful data manipulation queries: Joining tables, using unique identifiers, selecting, projecting, aggregating, ordering data and doing top-k searches.
By the end of day 1 we will have plenty of practice in using basic SQL queries to efficiently extract useful datasets and to export them to R, SAS, Stata, or other statistical software.
This is a chance to apply our day-1 knowledge to the Microsoft SQL Management Studio coding environment commonly used to access the IDI. We start with a brief introduction to the IDI and the important peculiarities of this system, from both the research and database usage perspectives. We then learn some intermediate SQL: Nested queries, unioning, grouping, creating views, built-in functions and anything we have time for (including creating our own basic T-SQL stored procedures). The goal will be to practice using these queries to greatly speed up and simplify the process of extracting useful data from a database.
Click here to register!