£120

Bayesian meta-analysis

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TBC Central London

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This one-day workshop will introduce you to Bayesian models that solve some very widespread problems in meta-analysis:

  • unreported stats
  • some studies report means, others medians
  • some studies have dichotomised the outcomes
  • some studies are suspected of reporting bias or p-hacking
  • some studies are randomised, others are observational
  • studies have different intervention durations and follow-up times
  • a mixture of different outcome measures and scales

We will use BUGS, JAGS and Stan within R. You don't need to be an expert in any of these, but you should at least have some familiarity with basic modeling in one of them. You will leave with tested code that you can use on your own data, and we will discuss the challenges that attendees have encountered with their own meta-analyses. The techniques covered here are applicable to many fields, including healthcare, econometrics and policy evaluation.

Facilitator Robert Grant has worked on meta-analysis and Bayesian models for many years, having been part of the NICE guideline development technical staff from 2000-2006. He is responsible for innovating several of the techniques we will cover today.


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TBC Central London

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Refunds up to 7 days before event

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