![\"deathrates\"](\"http:\/\/www.thejuliagroup.com\/blog\/wp-content\/uploads\/2013\/07\/deathrates.png\")
<\/a>I opened the Heart dataset from the SASHELP library.<\/p>\nThen I selected from TASKS > GRAPH and clicked on the picture of a stacked bar chart.<\/p>\n
I dragged sex under Column to Chart<\/strong> and Status under Stack<\/strong>.<\/p>\n Under the ADVANCED tab I selected Percentage as the Statistic used to calculate bar<\/strong> and clicked the box next to Specify one statistical value to show for bars<\/strong> and picked percentage from the drop down menu.<\/p>\n With a little pointing and clicking I have a good first look at our data. It is obvious that there were more women than men in the sample – 55% to 45%. It’s also obvious that the odds of a man dying were much greater. While men were about equally likely to be alive as dead, women were twice as likely as being alive as dead.<\/p>\n So, from this little chart we can start talking about odds, then move to odds ratios. We can also raise objections to looking at just a single variable related to death. Were the women in this sample younger? Certainly age would be related to death. What other variables should we include?<\/p>\n So, here you have a sneak peek at the beginning of my class on categorical data analysis at WUSS in November. <\/a>You should come. It will be fun. There will be pictures. And cookies.<\/p>\n