使用metaprop（R中的meta软件包）计算精确比例

我正在做一项荟萃分析，对服用特定药物时插管的患者进行分析。具体来说，我有17项研究。在每一项研究中，都有部分患者接受了插管。不同的亚组有不同的插管风险

我的问题是，当我做一个林地，比例似乎不正确

library(meta)
studies <- c("Cong 2015", "Gangathimmaiah 2017", "Parsch 2017", "Hopper 2015", 
              "Isbister 2016", "Kowalski", "Riddell 2017", "Burnett 2012",
              "Burnett 2015", "Cole 2016", "Cole 2017", "Hollis 2017", "Iwanicki 2014", 
              "Keseg 2014", "Olives 2016", "Scaggs 2016", "Schepke 2015")
obs <- c(0, 3, 0, 0, 0, 0, 2, 2, 14, 25, 28, 10, 16, 8, 85, 0, 2)
denom <- c(18, 21, 22, 32, 49, 5, 23, 12, 49, 64, 49, 38, 32, 35, 135, 7, 52)
setting <- c("AMT", "AMT", "AMT", "ED", "ED", "ED", "ED", "EMS", "EMS", 
             "EMS", "EMS", "EMS", "EMS", "EMS", "EMS", "EMS", "EMS")
m1 <- metaprop(obs, denom, studies, comb.random=FALSE, byvar=setting, 
               bylab="Setting", byseparator=": ")
forest(m1, print.tau2 = FALSE, col.by="black", text.fixed = "Total",
       text.fixed.w = "Subtotal", rightcols = c("effect","ci"), 
       leftlabs=c("Study","Intubated","Total"))

库（meta）
研究您应该使用
metaprop
的
method=“GLMM”
参数：

library(meta)
library(metafor)

m1 <- metaprop(obs, denom, studies, comb.random=F, byvar=setting, 
               bylab="Setting", byseparator=": ")
m2 <- metaprop(obs, denom, studies, comb.random=F, byvar=setting, 
               bylab="Setting", byseparator=": ", method="GLMM")
m2$w.fixed <- m1$w.fixed

forest(m2, print.tau2 = FALSE, col.by="black", text.fixed = "Total",
       text.fixed.w = "Subtotal", rightcols = c("effect","ci"), 
       leftlabs=c("Study","Intubated","Total"))

库（meta）
图书馆（metafor）
m1我注意到现在所有的盒子都是相同大小的（即Scaggs研究的n=7的灰色盒子与olives研究的135的灰色盒子大小相同）。“我怎样才能让这些盒子的大小不同呢？”曼科维茨我编辑了我的答案，如果你需要的话，请告诉我