R help - Jul 2013 - Book recomendation: Repeated Measurements

Dear,

I need a book about repeated measurements analisys with R.

In Amazon, I found this one:

Models for Repeated Measurements (Oxford Statistical Science Series)
J. K. Lindsey 1999 2ed.

I would like a book with examples, data and R code. I work with trees
(forest breeding).

Could you recomend a book to me?

Thank you very much!

--
Laia, M. L.

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http://www.r-project.org/

-- Bert

On Sun, Jul 14, 2013 at 12:56 PM, Marcelo Laia <marcelolaia at gmail.com>
wrote:
> Dear,
>
> I need a book about repeated measurements analisys with R.
>
> In Amazon, I found this one:
>
> Models for Repeated Measurements (Oxford Statistical Science Series)
> J. K. Lindsey 1999 2ed.
>
> I would like a book with examples, data and R code. I work with trees
> (forest breeding).
>
> Could you recomend a book to me?
>
> Thank you very much!
>
> --
> Laia, M. L.
>
> ______________________________________________
> 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.


-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

On 2013-07-15, at 4:00 AM, r-help-request at r-project.org wrote:
> On 7/14/2013 3:05 PM, Rolf Turner wrote:
>> On 15/07/13 08:57, Spencer Graves wrote:
>> 
>> <SNIP>
>>> 
>>>      You may know that "mixed effects" is another term
for "repeated
>>> measurements".
>> 
>> <SNIP>
>> 
>> I must of course preface this comment with an "I am no
expert"
>> disclaimer, but I do not
>> believe that this assertion is correct.  It would be more correct, I 
>> believe, to say that
>> repeated measurement models form a particular sub-class of mixed 
>> effects models.
>> 
>> Those who *are* experts may well correct me if I am wrong about this.
> 
> 
>       Thanks for the clarification, Rolf.  You are absolutely correct.  
> "Repeated measurements" refers to the sampling plan. "Mixed
effects"
> describes a form of mathematical modeling.  There are balanced repeated 
> measures data sets where people do not have to worry about the 
> subtleties of mixed-effects modeling.  An experiment with multiple 
> litters with several mice in at least some of the litters would call for 
> mixed-effects modeling.  This would include "repeated measures"
on the
> litters but not the mice.
> 
> 
>       However, "I am no expert" on repeated measures /
mixed-effects,
> either
And you could have repeated measures within matched blocks (e.g., litters as the
matched blocks, and some repeated measure---say trials---on the individual mice
in each litter).  H. D. Kimmel promoted such designs in the 1960s in a slim
volume describing the analysis of two such designs.

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