A diamond-shaped equiponderant graphical display of the effects of two categorical predictors on continuous outcomes

被引:16
作者
Li, XH
Buechner, JM
Tarwater, PM
Muñoz, A
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD 21205 USA
[2] Univ Wisconsin, Dept Biostat & Med Informat, Madison, WI 53726 USA
[3] Univ Texas, Sch Publ Hlth, El Paso, TX 79902 USA
关键词
epidemiology; graphical methods; statistics; three-dimensional bar graphs; two-dimensional projections;
D O I
10.1198/0003130031883
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Three-dimensional (3-D) bar graphs and their cur-rent 2-D alternatives have certain limitations when the primary objective is to provide an equal representation of the effects of two predictors on an outcome. This article proposes a graphing methodology (in the shape of a diamond) that projects 3-D bar graphs into 2-D whereby the third dimension is replaced with a polygon whose area and middle vertical and horizontal lengths represent the outcome. The proposed graphical representation is invariant to rotations and avoids outcomes in categories being concealed by others. This article shows several applications of our proposal to a variety of data types (e.g., proportions, incidence rates, relative risks), which can be easily implemented with available software.
引用
收藏
页码:193 / 199
页数:7
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