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Generalised linear models: links

Generalised linear models (GLMs) allow to perform univariate statistics for NON-NORMALLY distributed data and they represent an alternative to performing general linear models on transformed data.

  • This is a worked example by Gavin Simpson on how to analyse binary data such as survival data or presence/absence. He also shows how to compute confidence intervals correctly.
  • On the difference between using GLMs or using LMs on transformed data, see here and here.
  • On how to compute Confidence Intervals, see here and here.
  • On how to calculate the SE of a quantity on the original scale knowing its SE on the transformed scale, see here (delta method).