[R] Random effects dimension in nlme and P-values

From: Marc Bernard <bernarduse1_at_yahoo.fr>
Date: Tue, 10 Jun 2008 12:51:06 +0200 (CEST)


Dear All,    

  I don't know whether this question is appropriate for this list or not. My question is as follows:    

  I am fitting a non-linear mixed model using the SSlogis function. When the parameters xmid and scal are both considered as random (let us say model M1), the p-value for my covariate of interest is greater than 0.05 (non-significant). However, when only the xmid is considered as random (Model M2), the p-value is less than 0.05 and my covariate becomes highly significant. The introduction of random effects of course increases the variability in the fixed effects but does not affect their Bias as I understand. My question is: Is it then legitimate to use the model with only xmid as random effects (model M2 since it gives me significant results)? knowing that the AIC for M1 is lower than that one for M2 meaning that M1 is slightly fitting better the data than M2    

  Many thanks in advance    

  Bernard,                 


Une boite mail plus intelligente.

        [[alternative HTML version deleted]]



R-help_at_r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Tue 10 Jun 2008 - 10:59:29 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Tue 10 Jun 2008 - 11:30:46 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive