P values in summary tables from lmer objects - R-SIG-mixed-models

Thu, Jul 12, 2012 5:09 AM #

Dear all,

It seems that the newest version of lme4 (0.999999-0) now provides P values in the summary tables.
Given the many previous discussions about the derivation of P values in lmer, I was just wondering
how "safe" it would now be to use these values (and how they?re calculated). I guess they?re just
taken internally from a call to glm?

Example:

##
gm1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd),
              family = binomial, data = cbpp)
summary(gm1)
coef(summary(gm1))

##

Many thanks,
Christoph


[running R 2.15.1 on Windows 7 32-Bit]

PD Dr Christoph Scherber
Georg-August University Goettingen
Department of Crop Science
Agroecology
Grisebachstrasse 6
D-37077 Goettingen
Germany
phone 0049 (0)551 39 8807
fax 0049 (0)551 39 8806
http://www.gwdg.de/~cscherb1

Luca Borger

Thu, Jul 12, 2012 6:03 AM #

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Ben Bolker

Sun, Jul 15, 2012 7:29 PM #

lborger <lborger at ...> writes:

[snip]

Also note that the characteristics of these p-values (based on
quadratic, asymptotic assumptions etc.) is  (the first topic)
covered in http://glmm.wikidot.com/faq ...