Author: Stanley Xu; Christina Clarke; Susan Shetterly; Komal Narwaney
Title: Estimating the Growth Rate and Doubling Time for Short-Term Prediction and Monitoring Trend During the COVID-19 Pandemic with a SAS Macro Document date: 2020_4_11
ID: 10mbsqmo_18
Snippet: format start_day end_day mid_day mmddyy10.; run; ods listing gpath="&codeanddat"; title1 'Estimated growth rate (r) and 95% Confidence Intervals'; title2 'Using CO Hospitalization data between March 13th-April 13th'; proc sgplot data=r_doubling_time; band x = mid_day lower = r_LowerCL upper = r_UpperCL/ fillattrs = (color = graydd) name='band95' legendlabel='95% CI'; series x = mid_day y = r/ lineattrs = (color = red thickness = 3px) name = 'line.....
Document: format start_day end_day mid_day mmddyy10.; run; ods listing gpath="&codeanddat"; title1 'Estimated growth rate (r) and 95% Confidence Intervals'; title2 'Using CO Hospitalization data between March 13th-April 13th'; proc sgplot data=r_doubling_time; band x = mid_day lower = r_LowerCL upper = r_UpperCL/ fillattrs = (color = graydd) name='band95' legendlabel='95% CI'; series x = mid_day y = r/ lineattrs = (color = red thickness = 3px) name = 'line' legendlabel = 'growth rate'; yaxis labelpos = center label = "growth rate per day" thresholdmax=.8; xaxis labelpos = center label = "Mid day of a seven day period" thresholdmax=.8; keylegend 'line' 'band95' / position = topright location = inside across = 1 opaque noborder valueattrs=(color = gray33); run;
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