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NLMEM

  • NonLinear Mixed-Effects Models
  • Aim
    • to generate parameter estimates that describe the observed data most appropriately
    • using maximum likelihood estimation
    • iteratively selects parameters maximising the probability of observing the data
  • Approach
    • Analysing the population and individual level simultaneously

      mixed-effects modelling = fixed-effects + random-effects