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Statistical Analysis for Clinical Audit

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51-53 Hatton Garden

Farringdon

London

EC1N 8HN

United Kingdom

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Refunds up to 30 days before event

Event description

Description

This course is a one-day overview of statistical analysis applied to clinical audit. It is aimed at local audit teams as well as national projects. It will not turn you into an expert statistician but it will demystify the terminology and the techniques that are used, and give you an understanding of what can be done, when it might be useful, and what requires expert input or specialist software.


Advice and training in analysis for clinical audit tends to cover only basics, but increasingly, audits are expected to do more. In order to draw meaningful conclusions about performance, it is essential to deal correctly with problems like missing data, casemix differences, or the effects of external factors like season.


Even if your team would outsource this work, it is important to understand enough to make sure the deliverables are realistic and the subcontractors have the track record to achieve them.


This course is practical and highly interactive. It focus on concepts rather than mathematics or software. No prior training in statistics is needed! It will be led by Robert Grant, a medical statistician of 20+ years' experience, who analysed many audits at the Royal College of Physicians before joining the Department of Health committee for clinical audit (NCAAG, later NAGCAE), providing methodological advice. He has taught statistics at St George's Hospital, Harvard Dubai Foundation, Kingston University, for clients such as Monitor, The Economist and the Cabinet Office, and online. His particular interest is in making the subject accessible and useful to less technically-trained audiences.


Learning outcomes

After taking this course, participants will understand:

  • how statistical models and related techniques can provide casemix adjustment
  • how visualising audit data can help to detect errors as well as communicate results
  • how missing data can be addressed and what expertise is needed to do it
  • why care needs to be taken to pre-specify the analysis plan
  • how to make fair comparisons between units or time periods
  • what role machine learning techniques could play in their work
  • how to make a value-for-money choice of software resources to carry out audit analysis


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Date and Time

Location

etc Venues

51-53 Hatton Garden

Farringdon

London

EC1N 8HN

United Kingdom

View Map

Refund Policy

Refunds up to 30 days before event

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