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nlme behavior - Random Effect Estimates

To: s-news@lists.biostat.wustl.edu
Subject: nlme behavior - Random Effect Estimates
From: Chuanpu.Hu@sanofi-aventis.com
Date: Mon, 22 Nov 2004 11:33:45 -0500




Dear All,

I am modeling a longitudinal dataset with nlme in S-PLUS 6.2, and nlme
suggested no random effects, i.e., all random effect estimates are “tiny”,
and anova comparisons with nls fits have p-value>0.999. This seems strange
to me and I wonder whether anyone has similar experiences.

A few more details: I am fitting a simple model of the form a +
b*exp(-c*Time) on a dataset with 3,700+ subjects and on average 10+
observations per subject. Other than the large size, the data do not appear
particularly “unusual.” In particular, it is difficult to believe that no
random effects are present. I used nls() results as initial estimates
(perturbations did not change anything). Does this mean that nlme has
difficulty handling large data?

I searched the archive and did not find anything helpful. Eecause I do not
subscribe to s-news, I would appreciate any response be copied to me
directly.

Thanks in advance,
Chuanpu

-------------------------------------------------------------------
Chuanpu Hu, Ph.D.
Assistant Director, Biostatistics
sanofi-aventis
9 Great Valley Parkway
Malvern, PA 19355-1304
Tel: (610) 889-6774
Fax: (610) 889-6932
E-mail: chuanpu.hu@sanofi-aventis.com
-------------------------------------------------------------------

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