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  • fracglm betareg fractional data mixed multilevel models

    Hi All,

    Does anyone know of a method to do a regression on fractional data but in a multilevel setting?

    Thanks,

    Don

  • #2
    If you're interested in just fitting a regression model that takes into account a clustering of related observations, then you could use something like
    Code:
    xtset id
    xtgee fra . . ., family(binomial) link(logit)
    which accepts fractional outcome values (proportions). It fits a so-called population average model.

    Otherwise, you could look into using a beta density function (-help density_functions-) with -bayesmh- or -menl-.

    Comment


    • #3
      Thanks Joseph. I ended up using fmlogit where you can have

      fmlogit outcome_proportions, ///
      eta(independent.variables) cluster(cluster.var) difficult iter(20)

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