We propose a versatile and computationally efficient estimating equation
method for a class of hierarchical multiplicative generalized linear mixed
models with additive dispersion components, based on explicit modelling of the
covariance structure. The class combines longitudinal and random effects models
and retains a marginal as well as a conditional interpretation. The estimation
procedure combines that of generalized estimating equations for the regression
with residual maximum likelihood estimation for the association parameters.
This avoids the multidimensional integral of the conventional generalized
linear mixed models likelihood and allows an extension of the robust empirical
sandwich estimator for use with both association and regression parameters. The
method is applied to a set of otolith data, used for age determination of fish.
The studies assessing the transversal treatment changes caused by functional regulator III (FR-3) are limited number. This clinical study was planned to enlighten the transversal effects of FR-3 appliance. The treatment group consisted of 17 patients (8 males and 9 females) with Clas...
Overall, it was observed that irrespective of the social class difference 88% participants wished to seek only expert/professional advice for the dental treatment. Unavailability of services on Sunday (63%), going to dentist only when in pain (57%), trying self care or home remedy (54%), inadequate...
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