Research Clinics and Events
“Research Seminars” and “Consultation/Mentoring Sessions” will be organised by BestSTART-SWS and its collaborators, including research teams in Mental Health and Paediatrics.
Consultation/mentoring sessions match an expert in a particular field with a health professional interested in accessing research support. Please click on the “Connect With Us” button at the top-right of this page to register your interest in consultation/mentoring sessions, or simply to get in touch via email@example.com. Then, one of our team member will assigned to you and a consultation/ mentoring session can be arranged at your convenience. Research Seminars are 45 min presentations on a topic. These research topics covers vast variety of research areas such as “Research designs and Methods”, “Using the R language for research”, Research toolkit”, “Statistical methods in R”. List of research seminar topics are available below and please refer this space for upcoming research seminar dates.
To join the consultation/mentoring sessions or research seminars, please follow this link: https://unsw.zoom.us/j/99624433991 at the specified time, or use the 99624433991 meeting ID to call in (+61 02 8015 2088) via zoom.
|Seminar Series||Level||Seminar Topic|
|Research Design & Methods [1/4]||Beginner||What to do with a new idea?|
|Research Design & Methods [2/4]||Beginner||Writing a protocol and applying for ethics|
|Research Design & Methods [3/4]||Beginner||Systematic reviews and searching for papers|
|Research Design & Methods [4/4]||Intermediate||Looking for and applying for funding|
|Using the R Language for Research [1/4]||Beginner||Intro to the R language, the RStudio IDE, and Rnotebooks|
|Using the R Language for Research [2/4]||Beginner||Introduction to the Tidyverse, tidy data philosophy, and data science workflows|
|Using the R Language for Research [3/4]||Beginner||Reading and wrangling data with pipes|
|Using the R Language for Research [4/4]||Beginner||Building tables, plotting, and exporting data|
|Research Toolkit [1/3]||Beginner||Introduction to REDCap|
|Research Toolkit [2/3]||Beginner||Project management tools|
|Research Toolkit [3/3]||Beginner||Setting up a Git repository|
|Statistical Methods in R [1/6]||Intermediate||Descriptive statistics: Measures of central tendency, normality, and preparation for hypothesis testing including graphical analysis|
|Statistical Methods in R [2/6]||Intermediate||Hypothesis testing I: Bivariate analyses (t-tests, chi-square, correlations, and bivariate regression modelling)|
|Statistical Methods in R [3/6]||Intermediate||Hypothesis testing II: Multivariate analyses (ANOVA, multivariate regression modelling, and mixed-effects models)|
|Statistical Methods in R [4/6]||Intermediate||Bayesian data analysis I: Bayesian versus Frequentist analysis, and when to select which approach|
|Statistical Methods in R [5/6]||Advanced||Bayesian data analysis II: Using the brms package with Stan to conduct simple mixed-effects models|
|Statistical Methods in R [6/6]||Advanced||Bayesian data analysis III: Model validation, measures of fit, and how to report for publication|