Statistical Computing

Chair: Craig Mcilloney

Our main remit is to provide a forum for the:

  • Exchange of ideas, practices and theories for using programming statistical analyses and the use of statistical computing software when analysing data within the pharmaceutical industry
  • Promoting the professional credibility of PSI, Statistical Programmers and Statisticians within the pharmaceutical industry
  • Enhancing the understanding, collaboration and interaction of the differing skill sets required by Statisticians and Statistical Programmers

This is achieved by the Committee supporting and collaborating with other groups and committees within PSI to help them meet their objectives and those of the statistical computing PSI community to include the organisation of half/full-day meetings where necessary.

Meetings

Past meetings have covered a wide range of topics including software for graphics, simulation, data warehousing, validation of systems and code, CANDAs (Computer Assisted New Drug Applications), reporting software, PK software and various other statistical packages.

Composition

Craig McIlloney (Chair)

PPD

Jim Ditchburn

PRA

Steve Jones

Covance

Ann Fitzherbert

GSK

Vinod Kaippillil Mukundaprasad

Shire

Vinod Panangattiri Parambil

Roche

Lyndsey Taylor

Sheffield University

Yingbo Wang

Imperial College London

Committee Resources
stats computing remit

Recent Activity


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EventsFuture Events


  • Expert Working Group on Confidentiality of Interim Results - Dates: 11 May, 2017

    The PSI/EFSPI expert working group on Confidentiality of Interim Results are planning to meet face to face on 11 May.
  • Estimating Sample Sizes in Clinical Trials - Dates: 28 – 29 Jun, 2017

    The three most important aspects of a clinical trial are: design, design and design. A sample size estimate is just one aspect of a clinical study design. The course describes calculations for sample size estimation in the design of clinical trials. It will be highlighted how the objectives of a clinical trial will impact on sample size calculations. The course is a practical course and all methods will be illustrated with examples and case studies.
Leeds-80x250

Medical Statistician / Senior Medical Statistician

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Director, Statistics

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Astrazeneca

Associate Director, Statistics Team leader - Early Clinical Development

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Astrazeneca

Early Clinical Development – various levels

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Biostatistics Head of Department

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Astrazeneca

Principal Statistician – Centralised Statistical Monitoring

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Astrazeneca

Clinical Trial Design Methodology Expert - Statistical Innovation Team

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