[R-meta] formula for calculating MCS (mean change score)
Gerta Ruecker
ruecker @end|ng |rom |mb|@un|-|re|burg@de
Thu Apr 15 12:31:58 CEST 2021
Dear Homa,
First of all, your questions seem very basic to me, if understand them
correctly. Otherwise, please correct me.
Secondly, what is mean change score? It is what the name says. You have
one or more groups of individuals and from (ideally) everyone you have a
pre- (or baseline) value x_{0i} and a post value x_{1i}. The change
score is the difference, for example post minus pre:
d_i = x_{1i} - x_{0i}
The mean change score within a group is the mean of the d_i within this
group. You may then compare these means between groups with different
treatments etc.
The calculation both in Excel and R is thus very simple - you must have
the x_{1i} and x_{0i} in different columns (rows are individuals) and
then build the difference.
Finally, please note that this is an R list, not an Excel forum and also
not a SAS or SPSS forum.
Best,
Gerta
Am 14.04.2021 um 16:17 schrieb Homa Keshavarz:
> Hello,
>
> I appreciate it if you send me a formula for calculating MCS, what is the syntax in SAS, SPSS please.
>
> Have you come to any publication used MCS?
>
> Can we calculate it in excel file?
>
> Many thanks in advance,
> Homa
>
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--
Dr. rer. nat. Gerta Rücker, Dipl.-Math.
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center - University of Freiburg
Stefan-Meier-Str. 26, D-79104 Freiburg, Germany
Phone: +49/761/203-6673
Fax: +49/761/203-6680
Mail: ruecker using imbi.uni-freiburg.de
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