CAJ | 학술논문

目的：介绍轮廓增强漏斗图应用R软件metafor程序包的实现方法及其作用。方法通过实例展示应用“funnel()”函数绘制传统漏斗图和轮廓增强漏斗图的方法，并进行比较分析。结果 R软件metafor程序包能够实现普通的轮廓增强漏斗图和结合剪补法的轮廓增强漏斗图。相对于传统漏斗图，轮廓增强漏斗图对对称性的识别更为敏感，且能识别纳入研究分布在有无统计学意义的区域。结论轮廓增强漏斗图利于判断漏斗图是否真正不对称以及这种不对称是否由发表偏倚所致。
목적：개소륜곽증강루두도응용R연건metafor정서포적실현방법급기작용。방법통과실례전시응용“funnel()”함수회제전통루두도화륜곽증강루두도적방법，병진행비교분석。결과 R연건metafor정서포능구실현보통적륜곽증강루두도화결합전보법적륜곽증강루두도。상대우전통루두도，륜곽증강루두도대대칭성적식별경위민감，차능식별납입연구분포재유무통계학의의적구역。결론륜곽증강루두도리우판단루두도시부진정불대칭이급저충불대칭시부유발표편의소치。
Objective To introduce the function of the contour-enhanced funnel plot and how to implement it using metafor package in R. Methods We introduced the implementation method based on the"funnel( )"function using a example. Then we compared the results of contour-enhanced funnel plot and traditional funnel plot. Results The metafor package can finish the common contour-enhanced funnel plot and combine with trim and fill method. Relative to traditional funnel plot, the contour-enhanced funnel plot is more sensitivity and it can also distinguish the statistic distributions of included studies. Conclusions The contour-enhanced funnel plot can further to detect the symmetry or asymmetry is true and help to investigate whether the asymmetry is caused by publication bias.