Statistical Methods in Research (MEDC0046)

Key information

Faculty: Faculty of Medical Sciences
Teaching department: Division of Medicine
Credit value: 15

Restrictions: N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The course aims to teach the students the essential elements of research methodology and statistics. The focus is mainly on interpretation and understanding appropriate methodology. At the end of the course participants will have acquired the essential skills for performing basic methodological aspects of health care research and understanding, reviewing and using published research. In particular participants will have gained an understanding of:

a) the types of data generated in research studies
b) the most common methods of analysis for categorical, continuous and survival data, including regression methods
c) when particular methods are appropriate and how to interpret their results
d) issues related to analysis and interpretation of randomised trials
e) the use of statistical software

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study: In person
Methods of assessment: 100% Fixed-time remote activity
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 27
Module leader: Dr Joseph Ndieyira
Who to contact for more information: j.ndieyira@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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