<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Dear All,<div class=""><br class=""></div><div class="">In a previous email I have been explaining about a proportional meta analysis I have been performing. I am working on comparing the retention rates of different materials. I first took the approach of grouping different materials with similar follow up times , and calculating a summary proportion of all materials, however I later found out that performing a moderator analysis ( in this case “materials”) would only compare the materials against the summary proportion (?) , which is not my aim. I aim to see how each material performed, and compare directly between them. For example, I have materials A,B,C,D and I wish to compare the retention between A and B, to see if they are significantly different. </div><div class=""><br class=""></div><div class="">So I am thinking I should calculate a summary proportion for each material alone, and then perhaps conduct a chi square test? to see if the summary means of each material is different? </div><div class=""><br class=""></div><div class="">I would really appreciate any input. </div><div class="">Attached is the summary proportion of all materials reporting retention after 3 years. For my paper, I want to highlight that the GI material is significantly worse than the Auto material. Could I still do that with moderator analysis?</div><div class=""><br class=""></div><div class="">Regards,</div><div class="">Ahmed Bedir</div><div class=""><img apple-inline="yes" id="6CDAC7D8-0ED6-4F0F-8193-61D7A97DD680" src="cid:3EB77A53-9601-4AA9-853E-336310BEB44C" class=""></div></body></html>