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As in all GLMs presented hereafter, we simplified the initial models (all factors and interactions) by stepwise removal of non-significant factors or interactions with P>0.20, starting by the highest-level interactions.
Models all factors shown.
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We assessed the fit of global generalized linear models (models including all factors) using c-hat [76] and the fit of the global logistic regression models with a goodness of fit test [75, Supporting Text 1].
In both models, all factor loadings equalled.7.7
Basketball performance is bound to model all the factors involved efforts in preparing children and youth teams.
Basketball performance is bound to model all the factors involved the effort to prepare children and youth teams.
In this model, all factors had estimated variances and covariances, but the factor means were fixed to 0. Second, we tested for weak factorial (metric) invariance, holding all factor loadings equal across time.
In this model, all factors investigated and their first-order interactions were included.
We included in the model all factors significant in univariate χ tests at p < 0.1.
In a multivariate logistic regression model all factors which were found to be significant in univariate analyses were used.
When LRG1, log10CA19-9, log10ALP, log10and and log10bilirubin were included on a univariate logistic regression model, all factors except log10bilirubin were independently associated with BTC.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com