Join PSI

Join PSI Membership 

Please click here to complete the online membership application form.

All membership applications will be agreed by the PSI Board of Directors.

Costs and benefits for membership per annum are as follows:

Type

Membership Categories

2017
Fee

Mailshots

SPIN

Journal*

Voting rights

Reduced event fees, access to website

Voting

Ordinary

£95

Y

Y

Y

Y

Y

 

Honorary

£nil

Y

Y

Y

Y

Y

Non - voting

Affiliate

£95

Y

Y

N

N

Y

Reduced Rate

£40

Y

Y

N

N

Y

 

* Electronic access only

 All PSI members will also benefit from:

  • News of upcoming Journal Clubs where authors of the most widely read articles in the journal
  • A quarterly newsletter (SPIN) with news and information about the Society and its members as well as eNews delivered direct to your inbox every 2 weeks
  • A programme of whole-day scientific meetings focusing on the latest views and perspectives on key topics
  • A programme of training courses that will be of interest no matter what your experience level – newcomer or established
  • Three-day Annual Conference providing a forum for the discussion of the application of statistics and programming, emerging methodologies and best practice, new technical developments and progress with standards, and a host of other topics that statisticians and statistical programmers need to keep abreast of.
  • Access to the members-only area of this web site, including online discussion forums, event booking, a Resource Archive and the membership database.

Latest News


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EventsFuture Events


  • PSI Toxicology SIG Workshop 2018 - Dates: 24 – 25 Apr, 2018

    The Toxicology SIG provides a forum for statisticians working in regulatory and investigative toxicology to discuss issues and interact with one another. This 1.5-day workshop will involve hopefully approximately 20 statisticians, focusing on discussions around “best practice” in the statistical analysis of various data types.
  • PSI Toxicology SIG Webinar - Dates: 12 – 12 Dec, 2017

    This talk introduces a procedure to choose an optimal sparse sampling scheme and sampling time points using non-compartmental methods but which can be applied to further settings beyond this. We discuss how robust designs can be obtained and we apply and evaluate the approach to a range of scenarios to give an example of how it may be implemented.
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Opportunities for Statisticians: Associate Director, Statistics Team leader and Project statistician – AstraZeneca

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SAGE Research Methods

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Statistical Assessor or Senior Statistical Assessor

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Medical Statistician

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Clinical Trial Design Methodology Expert – Statistical Innovation Team

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Statistical Programmers

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