R is a free software environment for statistical computing and graphics.

The R language allows the user, for instance, to program a series of commands to pre-process and manipulate data and then analyse that data before tailoring, presenting and plotting the results. R packages are pre-written code to find a solution to problem. R packages shared by other R users allows the user to find efficient solution to problem with ease.

Following on from the Introduction to Statistics using R course, this two-days PC based workshop will go through advanced statistical modelling and regression methods for continuous and categorical outcomes.

Course Tutor: Krupa Shukla

CPD Credits: 12 CPD Credits approved by The Royal College of Physicians

Entry Requirements: Participants from any background can attend the course. Some familiarity with R and statistics is required to attend this course. Alternatively, you should have attended Introduction to R or Foundations in R and Introduction to Statistics using R course.

Early Bird rate is available for up to 2 weeks before the session runs.

For group/block bookings, charity pricing and course queries, please contact stathelp@imperial.ac.uk.

Course Content

  • Chi-Square and Fisher's exact Test
  • One-way Analysis of Variance (One-way ANOVA)
  • Correlation and Simple Linear Regression
  • Two-way Analysis of Variance (Two-way ANOVA) - interpreting interactions
  • Multiple Linear Regression - including stepwise selection methods and regression diagnostics
  • Analysis of Covariance (ANCOVA)
  • Logistic Regression - Odds ratios, Likelihood ratio test, Hosmer-Lemeshow test, Diagnostic tests and ROC curves
  • Introduction to Survival Analysis - Life table and Kaplan Meier survival graphs