[R-meta] Choice of measure in escalc().

[Cedric Ginestet]

Dear meta-analysts,

I'm trying to run a random-effect meta-analysis of about 20 
repeated-measure studies, most of which have rather small sample sizes 
of about 15 subjects.

I'm rather confused by the range of choices provided by the escalc() 
function in the Metafor package. I have tried to look at some of the 
papers indicated in the help file, but I couldn't come across a 
systematic presentation of the pros and cons of the different measures 
of effect sizes.

Among the following measures for repeated-measure studies, could anyone 
recommend a particular choice for the situation described above, and if 
possible justify their recommendation with a reference to previous work. 
That would be immensely appreciated.

  * |"MC"| for the /raw mean change/.
  * |"SMCC"| for the /standardized mean change/ using change score
    standardization.
  * |"SMCR"| for the /standardized mean change/ using raw score
    standardization.
  * |"SMCRH"| for the /standardized mean change/ using raw score
    standardization with heteroscedastic population variances at the two
    measurement occasions (Bonett, 2008).
  * |"ROMC"| for the /log transformed ratio of means/ (Lajeunesse, 2011).

Thank you very much in advance,
Cedric

-- 
Cedric Ginestet, PhD
Department of Biostatistics and Health Informatics (S2.06)
Institute of Psychiatry, Psychology and Neuroscience
King's College London, PO20, 16 De Crespigny Park,
London SE5 8AF, UK
Tel: 020-7848-0847

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