The aims of the module are to enable students to formulate their research problems in statistical terms, to design informative experiments, to apply appropriate statistical methods and to correctly interpret their results. The course therefore equips students with skills necessary for…

This module will build on the module PHPS40190 ‘Biostatistics 1’, concentrating on more advanced techniques employed in the analysis of epidemiological and medical research. The control of confounding using stratified and regression modelling is described in detail and the distinction…

Topics covered in this module include: – Understanding data, types of variables, levels of measurement, distributions of data; – Descriptive statistics, measures of central tendency, measures of dispersion; – Summarising and presenting descriptive data; – Concept of sampling variation which…

This course provides graduate students involved in laboratory-based research in the biological sciences with the analytical and statistical skills to generate meaningful results from experimental data in practical computer-based workshop sessions. The course covers the basics of data analysis for experimental…

This comprehensive course on statistics is designed to bring a student from the basics of study design right through to complex analysis of any data set. Elements include defining the research question and hypothesis, study design (including how to plan…

In this module students will be introduced to data types, data distributions, and hypothesis testing.  In addition they will learn about and be able to evaluate testing for statistical associations and differences between data types including parametric/non-parametric tests.  Students will…