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Information for module CLNE0007

This module is available for 2019/20

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Module code:CLNE0007 (Add to my personalised list)
Title:Research Methods and Introduction to Statistics
Credit value:15
Division:Institute of Neurology
Module organiser (provisional):Dr Caroline Selai and Dr Saiful Islam
Organiser's location:Queen Square
Available for students in Year(s):
Module prerequisites:First or upper second class (2:1) Honours degree in neuroscience or related biological science (e.g. physiology, psychology, pharmacology, biochemistry); or a medical degree from a UK University, or an overseas qualification of an equivalent standard. 
Module outline:This module has two components: (1) Research Methods, including Critical Appraisal of published research and (2) Introduction to Statistics. 
Module aims:The aims of the Critical Appraisal component of this module are: to provide students with both an understanding of and the basic skills required to: (i) critically appraise a published research paper; (ii) understand the principles of evidence-based medicine; (iii) acquire introductory generic research skills including refining a research question, formulating hypotheses and designing a study. The module component for Introduction to statistics includes: Lecture 1 : Why we learn statistics? Types of data , summarising and presenting data and preparing a database for your own research Lecture 2 : Test of hypothesis (p-value, confidence interval, type I & II error, single mean test , single proportion test) Lecture 3: Comparing groups ( between 2 means : paired & unpaired , between 2 or more proportions) Lecture 4: Non parametric tests (when to use, types of non-parametric tests) Lecture 5: Study design : Observational Study (Will focus on Case control and Cohort study only) Lecture 6 : Study design : Randomised Controlled trial ( Will focus on parallel group design only) Lecture 7 : Linear regression and correlation Lecture 8: Logistic regression There are also 2 workshops and 2 revision lectures planned for this module. 
Module objectives:At the end of the critical appraisal part of the module the students will have an understanding of (i) research methods including formulating a research question and study design, (ii) the range of research methods available and be able to make an informed choice as to the most appropriate method(s) to answer the research question; (iii) the principles of evidence-based medicine, including an understanding of the ‘hierarchy of evidence’; (iv) an introduction to generic research skills The statistics part of module aims to teach MSc students and researchers the essential elements of research methodology and statistics. The focus is mainly on interpretation and understanding appropriate methodology. At the end of the statistics module the participants will have gained an understanding of: • The types of data generated in research studies • Test of hypothesis and non-parametric tests • The most common methods of analysis for categorical and continuous data, including regression methods • The various design possibilities for a research project, and the important considerations for observational studies and randomised trials • When particular methods are appropriate and how to interpret their results • How to analyse your own data using at least one statistical package (say STATA) 
Key skills provided by module: 
Module timetable: 
Module assessment:

PG FHEQ Level 7

  • Standard assessment pattern:
    • Critical appraisal seen essay (1,500 words) 50.00%
    • Unseen one-hour written examination (statistics) 50.00%
Notes:No prior knowledge of the any of the above topics required. Teaching will be delivered via interactive lectures and workshops. 
Taking this module as an option?:This module is available as an optional module 
Link to virtual learning environment (registered students only)
Last updated:2018-07-17 15:56:58 by skgtacl