8.45 - 9.00

Registration

9:00 – 9:15

Introduction to the Applied Clinical Data Analytics Summer School

9:15 – 9:45

Introduction to Health Research Methodology

9:45 – 10:15

Framework for asking and answering a research question (Describe, Compare, Predict)

10:15 – 10:45

Basics of study designs, case control studies, prospective cohorts, randomised clinical trials

11:00 – 11:30

Introduction to Applied Medical Statistics

11:30 – 12:00

Summarising Data and Presenting Data in Tables in Graphs

12:30– 13:15

Installing R and R Studio

13:15 – 13:45

Management of R Files

13:45 – 14:15

Worked examples from R for health data science

14:15 – 14:45

Mean age difference between men and women (2 groups) and by stroke (UK Biobank)

14:45 – 15:15

Creating a “Table 1” in R

15:15 – 15:45

Writing Functions in R