Course Detail

RS125 - Introduction to Statistics and R

Audience: All researchers (including staff and PhD students)

This is a 6-half-day course that runs over 6 weeks. It is designed for all PhD students and researchers with little prior knowledge of statistics who wish to better understand and apply statistical methods. Each 3-hour session will consist of 2 hours of teaching and 1 hour of interactive R tutorial. The topics covered in each session are given below:

1) Introduction
- What are statistics? And what do we use them for?
- Descriptive vs inferential statistics
- What descriptive measures are there?
- Visualising data (bars, box plot, scatter)
- Types of variables (e.g. continuous, dichotomous, ranked, discrete)
- Designing experiments
- How to use R/R Studio

2) Probability theory
- What is probability?
- Main probability axioms and calculations
- Probability distributions (continuous & discrete)
- Introduction to inferential statistics
- Hypothesis testing
- P value

3) Inferential statistics
- Assumptions
- Sample variance
- Confidence intervals
- t-test
- Multiple testing
- Effect sizes
- ANOVA

4) Linear regression
- Statistical model
- Assumptions
- Errors
- Correlation
- Confounding
- Logistic regression

5) Non-parametric and nominal tests + ANOVA
- Fisher’s exact test
- Chi-square test
- Odds ratios
- McNemar
- Wilcoxon rank sum test
- Mann-Whitney U test

6) Revision, questions and clinic
- Overview of all test types
- Questions from participants
- Stats clinic: participants bring in their individual analyses/problems they have faced with their own data

Objectives

Provided by: Researcher Development

Details

Day 1

Date: Monday 20 May 2019

Venue: Libr TrainingRm (PCLab 101) ME, Library, 1st Floor, Mile End

Time: 09:00 - 12:00


Day 2

Date: Wednesday 22 May 2019

Venue: Libr TrainingRm (PCLab 101) ME, Library, 1st Floor, Mile End

Time: 09:00 - 12:00


Day 3

Date: Wednesday 29 May 2019

Venue: Libr TrainingRm (PCLab 101) ME, Library, 1st Floor, Mile End

Time: 09:00 - 12:00


Day 4

Date: Friday 31 May 2019

Venue: Libr TrainingRm (PCLab 101) ME, Library, 1st Floor, Mile End

Time: 09:00 - 12:00


Day 5

Date: Monday 3 June 2019

Venue: Libr TrainingRm (PCLab 101) ME, Library, 1st Floor, Mile End

Time: 09:00 - 12:00


Day 6

Date: Wednesday 5 June 2019

Venue: Libr TrainingRm (PCLab 101) ME, Library, 1st Floor, Mile End

Time: 09:00 - 12:00


Tutors

  • Dr S Marzi
  • Dr J Ramirez