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Description
This module has two components: (1) Research Methods, focusing on critical appraisal of published research and (2) Introduction to Statistics.
At the end of the critical appraisal part of the module you will have an understanding of why critical appraisal of published research is an important skill; the importance of formulating a clearly-articulated research question; factors to consider when designing the most appropriate study to answer a research question; introduction to the research methods used in a number of neuroscience studies; the principles of assessment of the quality of research studies.
The statistics part of the module aims to introduce the basic statistical methods commonly used in neurological research. You will learn how to: summarise data (means, medians, measures of spread, proportions, odds) and how to display it; analyse categorical and continuous outcomes, including calculation of risk ratio, odds ratio, chi-square, t-test, and ANOVA; making inferences (significance testing and confidence intervals). In addition, you will be introduced to power calculation, the designs of intervention and observational studies, how regression works and how to interpret linear regression coefficients (simple linear regression, simple logistic regression). You will also learn how to analyse data using at least one statistical package (STATA) and how to interpret the output from that software (STATA).
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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