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Summary

Course details

Course type:

Short Course

Director of studies:

MyLSTM

Mode of study:

Duration:

2 Weeks

Home fee:

£1,250

Overseas fee:

£1,250

3 good reasons to study

Statistics lies at the heart of most epidemiological and medical research. It enables us to identify disease risk factors and effective drug treatments, and to make generalisations with accuracy and confidence.

In this course, you will be given access to a large dataset that mimics the inhabitants of a fictitious community in a tropical country, and will be asked to design projects to address a series of research questions relating to tropical health issues.

Our emphasis on developing skills and practical experience – designing analyses, performing tests, and looking critically at statistics – will help build your confidence in dealing with numeric data to enhance your employability.

10 Academic Credits - Assessments coming soon

For an additional fee of £95, you can be entered for full Academic Credits for this course (Masters level credit). The academic credits are offered to provide choice and flexibility to all of our students and students who do not wish to do the assessments will be awarded a Certificate of Attendance. Applicants wishing to find out more about the assessment should contact MyLSTM@lstmed.ac.uk .

Course Outline

This course aims to provide students with a knowledgeable and critical understanding of standard and advanced quantitative statistical methods, within the context of epidemiological and clinical research in humans.

We will develop your ability to design, critically analyse, interpret and report the findings of a complex research project in a health-related topic. The focus is on methodologies appropriate for complex surveys and observational cohort/case-control studies, but you will also examine methodologies relevant for randomised controlled clinical trials. The module concentrates on the practical application of different experimental design strategies and on the interpretation of the results of statistical analysis methodologies, rather than on any detailed mathematical derivations.

Teaching sessions typically comprise an introductory presentation describing a specific type of study design or statistical methodology, a linked period of student-directed learning with staff available for consultation, a group discussion, and a period of directed self-study based on the material covered in the session.You will be given access to a large dataset that mimics the inhabitants of a fictitious community in a tropical country, and will be asked to design projects to address a series of research questions relating to tropical health issues in humans. You will then select an appropriate number of individuals from the dataset, and analyse the data using standard statistical computer packages such as EpiInfo, SPSS, and R.

Entrance Requirements

Academic requirements:

Anyone working in the fields of statistics would find this course beneficial. Of particular interest to people working in epidemiological and clinical research.

English language requirements:

Attending course with Academic Credit:
The course is taught in English. Students whose first language is not English must provide evidence of an IELTS (International English Language Testing System) score of at least 6.5 with a minimum of 5.5 in all learning components, or a TOEFL (Test of English as a Foreign Language) score of at least 88 for the Internet-based Test (iBT), with minimum scores of 21 for Listening and Writing, 22 for Reading and 23 for Speaking. Tests should be within their validity period of 2 years.

Attending course – Certificate of Attendance Only:
The course is taught in English and in a postgraduate setting. Students whose first language is not English should be aware that to benefit from the course participants should have English language proficiency at the equivalent of an IELTS (International English Language Testing System) score of at least 6.5.

Aims

This course aims to:

Summarise the results of statistical analyses in a report format suitable for a non-mathematical readership

Identify appropriate experimental design methodologies for carrying out health surveys, observational epidemiological studies (primarily cohort and case-control design studies) and interventional clinical trials involving human participants

Critically evaluate and interpret the statistical analyses of data from health surveys, epidemiological studies and interventional clinical trials

Identify and execute appropriate statistical methods for summarising data collected in health surveys, epidemiological studies and interventional clinical trials, using both conventional significance testing approaches and more contemporary effect size/confidence intervals concepts

Careers

Anyone requiring a basic knowledge of statistical methods for medical research would find this course beneficial. Over many years, we have educated hundreds of students, many of whom have established successful careers in industry and research in the academic or private sectors, or who have gone on to work in development as part of government or NGO teams.

Testimonials

The course is very practical throughout the sessions, and I have learnt SPSS very easily. The frequent exercises during every session were very useful, making my learning process very easy.

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Apply

Start date	End date	Home fee	Overseas fee
21 March 2022	1 April 2022	£1,250	£1,250	Apply
4 April 2022	15 April 2022	£1,250	£1,250	Apply

Start date:
21 March 2022

End date:
1 April 2022

Home fee:
£1,250

Overseas fee:
£1,250

Apply
Start date:
4 April 2022

End date:
15 April 2022

Home fee:
£1,250

Overseas fee:
£1,250

Apply

Statistical Methods for Epidemiological and Clinical Research