RESEARCH CLINICS AND EVENTS

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 beststart@inghaminstitute.org.au. 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