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Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.

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I'm doing a linear mixed model using lme. In my adjustement factors, I have a continuous varaible (named X1). And I want to check the linearity of this variable using a spline function or a fractiona …
asked Apr 11 by Klmce
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votes
1answer
I'm doing linear mixed model with an interaction between the time and my exposure. The fixed effects look like this : Y ~ T + T*GRP + X with T the time, GRP the exposure and X the adjustements facto …
asked Apr 25 by Klmce
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I have some problem with my lienar mixed model. When I do my model with the maximum likelihood, I have no error. But, when I want the confidence intervals, I get the Error : " cannot get confidence i …
asked Apr 15 by Klmce
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votes
2answers
I'm doing a mixed linear model. And I have subjects who have been select in 20 schools. So I want to take this to account. For this, I want to put a random intercept for the "SCHOOL" variable and a …
asked Apr 11 by Klmce
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Did you know a program or logiciel that allows to calculate the sample size for a longitudinal study with repeated data ? And if my subjects are nested in some schools, how I calculate the sample siz …
asked Apr 18 by Klmce