Day one 4 October 2022

09.00 – 09.30              Registration and Coffee
09.30 – 09.35              Introduction, Jugnoo Rahi
09.35 – 09.55              Framing the research question, Jugnoo Rahi
09.55 – 10.15              Chance, Bias and Confounding, Jugnoo Rahi

Study design
10.15 – 10.50              A. Case control studies – key aspects of design, statistical analysis and how to apply the findings, John Buchan & Lisanne Horvat Gitsels  
10.50 – 11.25              B. Cohort studies - key aspects of design, statistical analysis and how to apply the findings, Lola Solebo & Lisanne Horvat Gitsels  
11.25 – 11.45              Coffee break
11.45 – 12.20              Randomised Controlled Trials of Interventions – key aspects of design, statistical analysis and how to apply the findings,  Will Dean  & Lisanne   
                                      Horvat Gitsels 
12.20 – 12.55              Systematic reviews and metanalysis – key aspects of design statistical analysis and how to apply the findings, Tas Braithwaite
12.55 – 13.30              Lunch

Key statistical issues
13.30 – 13.55              A. People versus eyes, units of analysis and hierarchical / clustered data, Mario Cortina Borja
13.55 – 14.20              B. Principles of interpreting P values and confidence intervals, Eirini Koutoumanou
14.20 – 14.45              C. Principles of sample size calculation: a simple scenario,  Eirini Koutoumanou
14.45 – 15.00              Coffee break
15.30 – 16.15              Evidence Appraisal  - How to read a paper and apply the findings  – using example of published papers (pre-circulated). Group work, Lola Solebo
16.15 – 16.30              Group Q&A

Day 2 – Getting started in clinical research  5 October 2022

09.00 – 09.15              Coffee

How to get started in research

09.15 – 09.45              A. Participating in research – how to find out about opportunities, Chris Hammond & Praveen Patel
09.45 – 10.15              B. Undertaking your own research
                                      1) How to engage with research – networks / groups, and identifying methods expertise, Chris Hammond and Praveen Patel
10.15 – 10.45              2) What to expect when you meet the statistician, Lisanne Horvat Gitsels & Mario Cortina Borja
10.45 – 11.00              3) RCOphth website academic and research hub resources/support/advice, Jugnoo Rahi  
11.00 – 11.30              Coffee
11.30 – 12.00              Top tips for successful grantsmanship,  Chris Hammond

Practical issues to consider at the beginning
12.00 – 12.20              A. Finalising which data to collect, focus on range of potential outcome measures, Lisanne Horvat Gitsels, Mario Cortina Borja & Lola Solebo
12.20 – 12.40              B. Data management (what an ideal research database looks like – quality of data), Lisanne Horvat Gitsels, Mario Cortina Borja & Lola Solebo
12.40 – 13.00              C. Visualisation of data,  Lisanne Horvat Gitsels, Mario Cortina Borja & Lola Solebo
13.00 – 13.45              Lunch

13.45 – 14.10              Principles of Public and Patient Involvement and Engagement in Research, Lola Solebo and Deirdre Leyden
14.10 – 14.45              Ethics and research governance – top tips for navigating IRAS and data rules, Rachel Knowles
14.45 – 15.00              Coffee
15.00 – 16.00              Wrap up Group Q&A – questions arising from the course, All faculty