This core module aims to equip students with the skills to manage both bespoke and routinely collected datasets of all sizes, and to prepare an analysis-ready dataset using an R script. The module covers identification of the data required to answer a question, combination of multiple datasets, data collection (design, file formats, data types, data entry, avoidance of errors, etc.), file organisation, data cleaning, data manipulation, data preparation, and data presentation.
The module revises and applies epidemiological and statistical concepts covered earlier in the course, including measures of risk, chance, bias, confounding, standard deviation, standard error, χ2, t-tests and their non-parametric equivalent, p-values and confidence intervals.
Module Learning Outcomes:
By the end of the module, students should be able to:
- Take an efficient and repeatable approach to data management
- Collect data to answer a specific question in a way such that the data entry time and data recording errors are minimised and data are held and recorded efficiently
- Receive data collected by others, clean it, explore it, interrogate it, tidy it, and prepare it for analysis
- Compare and evaluate different styles of table and graph and be able to select the most appropriate for a purpose
- Seek out routine data from published government sources online, and recognise the limitations of some routine data
- Understand direct age standardisation and standard populations
- Take a critical approach to data interpretation
- Design a randomised trial
- Confidently approach analysis of unfamiliar data
Principles of Epidemiology; Principles of Biostatistics or Statistic for HDS
The module will be delivered using a combination of lectures, class discussions, problem-solving and individual/small-group working. Students work at their own pace using a module workbook that guides students towards independent learning.
Five formative assessments over the first three days
Graphical presentation and accompanying interpretation of the final project
Module Length: 6 days over 3 weeks