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This simplification was done because the full model resulted in a too high computational complexity.
Because the full model was not identifiable, we investigated a reduced model, aiming to estimate part of the genetic parameters or meaningful linear combinations.
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This problem is not particularly acute because presentation of the full model documents how many coefficients were estimated and the proportion of estimates that attained significance.
Many statisticians advice using model simplification, because parameter estimates from the full model may be unreliable (large standard errors) due to the many parameters that are estimated simultaneously.
The PMT and the age of menarche were not included into the full model, because none of these factors were associated with the factors included into the GEE analysis.
However, this was not possible for the full model because the total amount of GnRH-R is always changing, so that the levels of the activated MAPK never reach a steady state.
Interactions were not examined in the full model because this would have led to too many independent variables in that model.
These two SNPs are the most likely to be associated with environmental effects because of their significance in the full model, which tests both genotype and environment effects.
The following random effects parameters were removed from the full model because their bootstrap 2.5th percentile approached zero (<0.1%): BSV in ka, BSV in V2p/ F, BOV in the disposition parameters and the additive residual error term.
Equations (2-4) comprise what is called the full model because it is fully parameterized, i.e. as of yet, no constraints have been placed on any of its 8 parameters.
The results from the leverage analysis were also used to verify the confidence intervals for the coefficients of the variables in the full model, because the robust variance estimators in generalized estimation equations are known occasionally to yield confidence intervals that are too wide when the number of clusters is small [ 22].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com