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Advanced Statistical Methods

Welcome

This course equips students with the knowledge and skills to analyse and interpret public health and epidemiological data, including regression methods that allow us to investigate the effects of individual and multiple factors on different types of health outcome in different study designs. It is also a module under the Master of Public Health (MPH) programme.

advancedstatsmethods

 

About the course

The module concentrates on the practical application of these statistical methods and approaches in analysing public health and epidemiological data, providing the essential statistical theory to underpin these methods and to appreciate when it is appropriate to use different methods.

The module makes extensive use of the Stata statistical software and provides students with plenty of opportunity for practical application of methods to real epidemiological and public health datasets.

Who is this for?

Public health data analysts, performance managers in Clinical Commissioning Groups, and other data analysts and healthcare professionals within the healthcare trusts.

Students should have a prior knowledge of basic statistical concepts and methods.

Upcoming dates

Seven consecutive Tuesday mornings from 6 February 2018 - 27 March 2018.

For those requiring accreditation, there is also an examination.

Fees

Applicants will apply on a No Qual basis costing £660.

Apply here

 

Content

Specifically, the course will cover:

  • An introduction to confounding and effect modification (interaction)
  • Classical (Mantel Haenszel) methods to deal with confounding and effect modification
  • Analysis of case-control, cohort and survival data
  • An introduction to the concept of likelihood and the likelihood ratio test
  • Strategies of multivariable modelling and different approaches to determining confounders
  • Introduction to assumptions of missing data and imputation methods for missing data
  • Introduction to multi-level models for dealing with clustered or repeated measures data

It will include regression modelling including:

  • Multiple logistic regression
  • Multiple linear regression
  • Poisson and Cox regression

Enquiries

For more information about the course content, please contact Professor Sarah Lewis at 0115 8231387.

 

Enquiries

Application process

For more information about the registration process, please contact the course administrator, Sue Heydon at 0115 8231338.

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School of Medicine

University of Nottingham
Medical School
Nottingham, NG7 2UH

Contacts: Please see our 'contact us' page for further details