Thank you for your response! 1) that you have the data for each of the studies on each of the diagnostics -> Yes, I do. 2) the two diagnostics are continuous variables -> The data I have are binary responses for sensitivity (1 for disease; 0 for no for each device and a gold standard) 3) for each diagnostic in each study, you fit a model to a binary response (such as a logistic model) that produced predicted probabilities and you selected a cutoff value on those probabilities that classifies all observations as predicted events or nonevents yielding the sensitivity for that cutoff -> Since I already have binary data, I can skip this, correct? If the above are all true, then a question is whether an independent set of subjects was used for each study-diagnostic combination or whether subjects were repeatedly measured either within each study or across all studies. -> Each study has the same patients were tested for all three (gold standard, Device 1, and Device 2). I want to do the meta analysis using 4 different studies which device (device 1 or device 2) is better in terms of sensitivity (I will repeat for specificity, PPV, NPC, accuracy). Is this doable using SAS? Thank you!
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