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This tag describes the process of creating a statistical or machine learning model. Always add a more specific tag.
1
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0
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Pre, Post, and Change predictors all in the same model
We have a variable, $X$, measured at pre-study and post-study and are studying the effects of $X$ across changes of several outcome variables (post-pre).
Currently we are using regression models to i …
1
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2
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955
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Proc Calis (or TCalis) and p-values
Anyone know why when you run a SEM model in SAS using proc calis (or tcalis) you do not get p-values for the parameter estimates? It does supply a t-value however.
Two popular SEM packages in R, 'se …
4
votes
2
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Best model for change in scores over three time points
I see two ways of modeling this. …
133
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18
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120k
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Including the interaction but not the main effects in a model
Is it ever valid to include a two-way interaction in a model without including the main effects? What if your hypothesis is only about the interaction, do you still need to include the main effects?