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A priori, we placed in this model factors we felt that were biologically likely to affect hospital LOS.
This model factors heterogeneity of treatment effect among centres (i.e. random treatment by centre interaction) into its weighting scheme and captures within- and between-centre variation of the outcome.
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In this model, factor loadings all exceeded 0.7.
In this model, factor means were constrained to be invariant across methods (strict invariance model b).
Based on this transient model, factors affecting the melting speed in reciprocating extruders are identified.
To reflect this fact in the model, factor A induces the expression of X and Y.
In this model, individual factors are considered along with their interactions.
In this model two factors were considered: drug and concentration.
Using this model some factors were wrongly significantly associated.
In this model, all factors investigated and their first-order interactions were included.
Under this model these factors can be viewed as distinct yet closely related constructs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com