Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Accept all cookies Reject all non-essential cookies Find out more

Principles of Statistics

Module leads

 BScH MSc PhD Isobel Barnes - Associate Professor Isobel Barnes

Stephanie Ross Stephanie Ross

 PhD, MSc Neil Wright - Senior Statistician Neil Wright

Learning objectives:

  • To understand the underlying principles of medical statistics
  • To gain the technical skills to conduct appropriate statistical analyses independently
  • To produce appropriate publication-quality presentations (figures and tables) of statistical analyses

Sessions:

  1. Introduction to biostatistics and STATA
  2. Data distributions and descriptive statistics
  3. Normal distribution
  4. Prevalence, risks, odds and rates
  5. Hypothesis testing
  6. Studying exposure effects using prevalence, risks, odds and rates
  7. Categorical data
  8. Standardisation
  9. Linear regression I
  10. Linear regression II
  11. Non-parametric methods
  12. Logistic regression I
  13. Logistic regression II
  14. Logistic regression III
  15. Interactions
  16. Modelling strategies for observational studies
  17. Presentation of results I
  18. Statistics module review
  19. Poisson regression
  20. Survival analysis I
  21. Survival analysis II
  22. Survival analysis III
  23. Choosing cut-offs and variance of the log risk
  24. Presentation of results and documentation II
  25. Regression dilution bias
  26. Power and sample size I
  27. Power and sample size II
  28. Attributable fractions
  29. Missing data and multiple imputation

“Oxford has a renowned centre for population health... big studies change how we view population health”.

Peter Ho, MSc Graduate

In this section

student experience

Learning at Oxford, surrounded and taught by world-leading epidemiologists and global health scientists, has been transformative, driving me to think critically and innovatively about population health issues. With this enriched experience, I'm eager to apply my skills to impactful, grassroots, and large-scale health research, aiming to improve the quality and quantity of lives of people in Africa and globally.

Yusuff Adebayo Adebisi, 2022─23

 

Undertaking this MSc has provided me with a comprehensive grounding in the principles of epidemiology and statistics to complement my clinical medical training. It has been inspiring to learn from leaders in population health and gain insight into the possibilities that lie ahead from the excellent array of masterclass speakers.

Abinav Mohanamurali, 2022─23

 

The teaching staff on the course are incredible and will do what they can to ensure you learn. One cool thing about the course is the masterclasses ─ real people doing amazing things in the industry/ research centres/ NGOs/ governments who come to share their experiences with you.

Josephine Gondwe, 2022─2023 (Read what Josephine thought about the course.)

 

I feel that the course contents aligned completely with what I expected. I have achieved my aim of gaining the statistical and epidemiological skillset I needed to conduct high quality research independently...I would also say that the department is really supportive and student-centric.

Aaron Ho, 2021─22 (Read what Aaron thought about the course.)

 

One of the best aspects of the course was the diversity of nationalities and experiences in the MSc, which meant that discussions regarding real world examples that classmates had worked on were brought to discussion.

Emma Taylor-Gallardo, 2021─22 (Read what Emma thought about the course.)

 

I can say that I truly believe this MSc to be a perfect case study for the importance and strength of international collaboration in epidemiology and global health research.

Lilian Hartman, 2019─20 (Read Lilian’s experience on the MSc during the COVID-19 pandemic.)