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This tag describes the process of creating a statistical or machine learning model. Always add a more specific tag.

1 vote
0 answers
4k views

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 …
Glen's user avatar
  • 7,470
1 vote
2 answers
955 views

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 …
Glen's user avatar
  • 7,470
4 votes
2 answers
2k views

Best model for change in scores over three time points

I see two ways of modeling this. …
Glen's user avatar
  • 7,470
133 votes
18 answers
120k views

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?
Glen's user avatar
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