Special Topics Perioperative Care (SURG0048)

In this module you will cover a smorgasbord of subjects relating to perioperative medicine which stand alone as individual concepts and do not fit in to other chapters of the perioperative medicine masters programme. By completing this module, you will gain an understanding of big data, ethics and informed consent, surgery schools, economic evaluations in healthcare and communication between healthcare professionals, patients and relatives surrounding end-of-life care.

The purpose of the research project is to provide an opportunity for students to learn and carry out laboratory based techniques and to gain the experience of...

MSc Orthopaedics: Research Project (SURG0038)

The purpose of the research project is to provide an opportunity for students to learn and carry out laboratory based techniques and to gain the experience of being involved in the management and co-ordination of research work within a skilled and supportive environment. There is also the potential for publication of work in peer-reviewed journals if appropriate.

Aims - This module aims to provide an introduction to Medical Statistics. The module will give students the tools to apply basic statistical theory and...

Statistics for Medical Scientists (STAT0026)

Aims - This module aims to provide an introduction to Medical Statistics. The module will give students the tools to apply basic statistical theory and mathematical knowledge to solve problems in health research. The statistical methods covered are useful in the routine analysis of scientific methods, as might be encountered in other modules. It is intended for students registered on undergraduate programmes offered by the UCL Faculty of Medical Sciences.

Objectives - On successful completion of the module a student should have the knowledge and understanding of the basic statistical methods used in the design and analysis of studies in health research, and the ability to apply these methods and to interpret the corresponding results.

Content - Probability: Joint probability, conditional probability, independence and mutual exclusivity; Discrete probability distributions including the binomial and Poisson distributions; Continuous distributions  including the normal, t, chi-squared and F distributions; Distribution summary measures such as the mean and variance. Statistics: Sample summary measures such as the mean, variance, median and quartiles; Hypothesis testing including the z-, two-sample t-, paired t- and χ2-tests, and ANOVA; Confidence intervals including those for the mean, the difference between means and a proportion; The Central Limit Theorem. Linear regression: Measures of correlation; The line of best fit; Simple and multiple linear regression.

Key texts - Available from ReadingLists@UCL.