Hello, this seems like it should be an easy answer, but I've been stumped for a couple of days. Very sorry if this is much simpler than I'm thinking! About the data: I have two sets of data with the amount of surgeries performed per year from 2002-2015. The two sets of data represent two different disease patterns, however they both received the same surgical procedure. What I am trying to do: I'd like to figure out what kind of statistical procedure would determine if there is any significant difference between the two temporal trends. I also want to run another two tests to see if there is a significant change from year to year within the trends themselves. The data: data graph1;
input year ICM NICM;
datalines;
2002 4.13 7.10
2003 5.52 8.94
2004 3.73 7.27
2005 4.59 8.12
2006 4.88 7.02
2007 5.42 6.88
2008 8.66 8.29
2009 8.93 7.36
2010 8.88 7.64
2011 9.92 8.77
2012 9.60 6.20
2013 9.49 6.68
2014 9.09 6.23
2015 7.16 3.48
;
run; My question: What tests should I use for this? I feel like a simple proc glm is insufficient. I also don't think I need ARIMA, because I'm not trying to forecast anything. Thank you so much for reading!
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