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hassan67
Calcite | Level 5

hello
I have question related to how to use mixed procedure in meta-analysis contexte.
let suppose that I have this kind of data (case-control summarized data i.e not raw data):

example: summarized data for 6 study

study_ID number_of_patient score_mean_cases std_case score_mean_control std_control
1            30                            36.2                            8.3                      35.1                 4.5
2           70                             45.2                           4.2                       39.0                  2.8
3         20 .......................................................................................ect
4       102 .......................................................................................ect
5      48 .......................................................................................ect
6       20 .......................................................................................ect

to fit fixed- or random-effect models for metaanalysis,

I find this SAS example but I dont have the effsize variable, only what I have is in the example that I mentionned i.e number of patient, mean for case, mean for control, and thier respective standard deviation.
by advance thanks

DATA elderly;
INPUT study effsize cogtest $;
CARDS;
1 1.75 Trail
2 1.94 Trail
3 1.34 MOT
4 1.30 MOT
;
PROC MIXED DATA=elderly;
CLASS study cogtest;
MODEL effsize = cogtest / P SOLUTION;
RANDOM study / SOLUTION;
REPEATED / GROUP = study;
PARMS (.08)
(0.1209) (0.07) (.048) (0.0757)
/ EQCONS=2 to 5;
RUN;

1 REPLY 1
statuser1
Fluorite | Level 6

You can check the following paper for conducting meta analysis

 

Ijsmi, Editor (2017-06-10). "Systematic Review and Meta-Analysis: An overview with the help of R Software". International Journal of Statistics and Medical Informatics. 3(1).

 

http://www.ijsmi.com/Journal/index.php/IJSMI/article/view/7

 

Refer the following post Running R code from SAS

 

https://communities.sas.com/t5/General-SAS-Programming/Run-R-code-inside-SAS-easily/td-p/210116

 

 

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What is ANOVA?

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