xecution, study withdrawals, and intermediate results. Possible methods to address quality di?erences are sensitivity analysis, subgroup analysis, or meta-regression analysis. Quality assessment may be summarized by stacked bars for each QUADAS item in a bar graph.midasprovides the ability to represent the results of quality assessment by means of a bar graph. For example, ?gure 3 was obtained with mand syntax: . midas tp fp fn tn, qbar(prodesign fulverif testdescr refdescr clindescr report > spectrum blindref blindtest) qlab Alternatively using the qtab(varlist) produces frequency table of quality scores. B.A. Dwamena, R. Sylvester and R.C. Carlos 11 study Sensitivity Specificity Figure 1: Paired forest plot depiction of empirical Bayes predicted versus observed sensitivity and speci?city
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