Fieller's Theorem, Scheffe Simultaneous Confidence Intervals, and Ratios of Parameters of Linear and Nonlinear Mixed-Effects Models

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Abstract
The issue of joint confidence region and simultaneous confidence interval estimation for ratios of the parameters of a nonlinear mixed-effects model is addressed using a Fieller's theorem approach. The method presented is similarly applicable to linear mixed-effects models. In addition, previous work on linear fixed-effects models is demonstrated to be a special case of the present method. The methodology is applied to the ratios of slopes in a study of gestational maturation of placental glucose transfer capacity in sheep.

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