{smcl} {hline} help for {hi:graphbinary} {hline} {title:An exploratory graphic investigating a binary endpoint} {p 8 27} {cmdab:graphbinary} {it:varlist} , [ {cmdab:s:ort}{cmd:(}{it:graph_options}{cmd:)} {cmdab:l:egend}{cmd:(}{it:string}{cmd:)} {cmdab:or} {cmdab:rr} {cmdab:size}{cmd:(}{it:{help relativesize}}{cmd:)} {cmdab:l:evel}{cmd:(}{it:#}{cmd:)} {it:graph_combine_options} ] {p} {title:Description} {p 0 0} This command creates an exploratory graphic looking at relationships between a binary dependent variable against several explanatory variables. Explanatory variables that have more than 2 values will be dichotomised by its median. When the median is equal to the minimum value this variable will be excluded from the graphic. {p 0 0} The graphic consists of two panels, the percentage of people that are coded 1 for the dependent variable for each level of the explanatory variable. The second panel plots the relative risk and confidence intervals against the variable name. {p 0 0} There are very few built-in options for this graphic and relies on the use of graph_combine options. {p 0 0} Make sure you have the latest version of this command {stata ssc install graphbinary, replace} {title:Options} {p 0 0} {cmdab:s:ort}{cmd:(}{it:graph_options}{cmd:)} specifies the order in which the explanatory variables are specified on the y-axis. There are only a handful of choices sorting by variable name {hi:name}, by relative risk magnitude {hi:effect}, by the relative risk's upper/lower confidence limit {hi: upper / lower} or by the percentage of people with outcome 1 and high/yes or low/no for the explanatory variable {hi: yes} or {hi: low}. {p 0 0} {cmdab:l:egend}{cmd:(}{it:string}{cmd:)} specifies the legend for the graphic in panel 1. {p 0 0} {cmdab:or} specify that the odds ratio rather than risk ratio be plotted in panel 2. {p 0 0} {cmdab:rr} specifies that the risk ratio be plotted in panel 2. {p 0 0} {cmdab:size}{cmd:(}{it:relative size percentage}{cmd:)} specifies the percent of width available for panel 2. 50% means that panel 2 covers half the space in the final graphic, the default is 40%. {p 0 0} {cmdab:l:evel}{cmd:(}{it:#}{cmd:)} specifies the confidence level, in percent, for confidence intervals; see help {help level}. {title:Examples} {p 0 0} The examples are all the analysis of the low birth weight data that can be obtained by the {hi:webuse} command. ** {stata webuse lbw} (MUST load data first) ** {stata graphbinary low age lwt race smoke ht ui } {stata graphbinary low age lwt smoke ht ui, or } {stata graphbinary low age lwt smoke ht ui, sort(effect)} {stata graphbinary low age lwt smoke ht ui, sort(lower) title(Risk Factors)} {stata graphbinary low age lwt smoke ht ui, sort(upper) legend(lab(1 "Unexposed") lab(2 "Exposed"))} {p 0 0} {stata graphbinary low age lwt smoke ht ui, sort(name) title(Risk Factors) subtitle(sorted by variable name)} {p_end} {stata graphbinary low age lwt smoke ht ui, sort(yes)} The last graph is a little more complicated by changing the size of panel 2. {p 0 0} {stata graphbinary low age lwt smoke ht ui, sort(no) size(16) subtitle(sorted by unexposed risk) legend(lab(1 "Unexposed") lab(2 "Exposed")) l(99)} {title:Author} {p} Adrian Mander, MRC HNR Unit, Cambridge, UK. Email {browse "mailto:adrian.mander@mrc-hnr.cam.ac.uk":adrian.mander@mrc-hnr.cam.ac.uk} {title:Also see} Related commands {help graph_combine}.