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;
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