NICE/DSU/ABPI masterclass – Methods for the analysis of non-randomised, patient level data for the estimation of treatment effects

The NICE/DSU/ABPI Masterclasses are unique in being focused solely on the specific requirements of NICE and its Appraisal Committees and on the challenges associated with key areas of evidence generation and methodology.  They are specifically designed for staff in pharmaceutical companies who prepare submissions, the consultancies that support them, and members of the academic groups who review submissions.

This masterclass ‘Methods for the analysis of non-randomised, patient level data for the estimation of treatment effects’ covers an increasingly important area of methodology and has been developed for those who are currently involved in developing submissions to the NICE technology appraisals programme. 

Who should attend
It is suitable for those who are familiar with economic evaluation and the requirements of the NICE Guide to the Methods of Technology Appraisal.  It does not require any specific statistical knowledge but will assume that attendees are familiar with simple concepts like regression.

Please note, this masterclass considers methods that are used when the analyst has access to individual patient level data for at least one of the relevant technologies. It does not deal with those scenarios where the analyst only has access to summary statistics from published studies. It is intended to be of relevance either to those wishing to perform such analyses or to critically appraise them.  

This will be an inperson Masterclass, further information and how to register will be available soon.