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All variables included in the model were standardised to reference values for all Dutch hospital admissions in 2008, and effects of the variables were estimated for each year (see online supplementary appendix 2).
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Following some pilot experiments, the model was standardised as follows.
Models were standardised to achieve the same genetic response to one round of selection.
Therefore, 6-month and 3-year death models were standardised to conform to estimated Kaplan-Meier cumulative rates for the 1-year model.
All continuous fixed factors in the models were standardised to a standard deviation of 1 and mean of 0. All models were fitted in R 2.15.0 (R Development Core Team 2010) using the function lmer of the R-package lme4 (Bates and Maechler 2010).
The current models are standardised to the extent that we barely notice them, although they are commonly ungainly, inefficient, oversized and limited.
When fitting this model, the independent variables were standardised by subtracting their approximate mean values.
In a second approach, circulating 25- OH D concentrations were standardised and the standardised values were then used in conditional regression models as described above.
The parameter values were standardised for a body size using an allometric model [ 23, 24].
The biomarkers were standardised to one SD in all regression models.
Then the effects of different culture parameters were standardised.
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CEO of Professional Science Editing for Scientists @ prosciediting.com