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Statistical Methods for Meta-Analysis of Individual Participant Data (SMIPD) (Online) University of Birmingham

Highlights
Tuition fee
499 GBP / full
499 GBP / full
Unknown
Tuition fee
499 GBP / full
499 GBP / full
Unknown
Duration
3 days
Duration
3 days
Apply date
Unknown
Apply date
Unknown
Start date
Unknown
Start date
Unknown
Taught in
English
Taught in
English

About

The Statistical Methods for Meta-Analysis of Individual Participant Data (SMIPD) (Online) programme from the University of Birmingham provides a detailed foundation of the methods and principles for meta-analysis when IPD (Individual Participant Data) are available from multiple related studies.

Overview

The Statistical Methods for Meta-Analysis of Individual Participant Data (SMIPD) (Online) programme from the University of Birmingham considers continuous, binary and time-to-event outcomes, and covers a variety of modelling options, including common-effect and random-effects. 

Key facts

The course consists of a mixture of lectures and practical sessions to reinforce the underlying statistical concepts. Participants can choose either Stata or R for the practicals. The key messages are illustrated with real examples throughout the course.

Programme Structure

Topics covered include:

  • IPD meta-analysis of test accuracy studies
  • Estimating the power of a planned IPD meta-analysis
  • Dealing with unavailable IPD

Key information

Duration

  • Part-time
    • 3 days

Start dates & application deadlines

Language

English

Delivered

Online

Campus Location

  • Birmingham, United Kingdom

What students do after studying

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Open to anyone, aimed at healthcare researchers from any background, ideally with some training in statistics and healthcare research, either at BSc or MSc level.
  • The course assumes a good understanding of core statistical principles and topics, such as regression methods (such as linear, logistic, and Cox), parameter estimation and interpreting software output. A familiarity with traditional aggregate data (non-IPD) meta-analysis methods is advantageous, though not essential.
  • It is also recommended that participants are familiar with Stata or R, although the practicals will not require individuals to write their own code. Participants must have access to their own copy of R or Stata for undertaking the practicals.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    499 GBP / full
    499 GBP / full
  • Domestic

    Citizens or residents
    499 GBP / full
    499 GBP / full

Additional Details

  • Students - £499
  • Academic - £599
  • Industry - £699

Funding

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Statistical Methods for Meta-Analysis of Individual Participant Data (SMIPD) (Online)
University of Birmingham
Statistical Methods for Meta-Analysis of Individual Participant Data (SMIPD) (Online)
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University of Birmingham

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