When fitting models with multiple parameter types, analysts are often faced with the problem of deciding what model, or set of covariates, are included for parameters that are not of immediate interest, or so-called nuisance parameters. In this video Darryl shares his thoughts on his preferred strategy.
SPOILER ALERT: it's not making the nuisance parameter a constant value!