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Statistical Visualization Methods in SAS for Biostatistics Research

Explore various SAS visualization techniques like boxplot, lollipop graph, scatterplot, and survival plot in biostatistics research.

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Statistical Visualization Methods in SAS for Biostatistics Research

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  1. Plots in SAS Boxplot, Lollipop graph, Scatterplot, Survival plot -SGPLOT, GCHART, SGPANEL, LIFETEST Xiaoyue Ma Research Biostatistician II Weill Cornell Medicine Division of Biostatistics and Epidemiology, Department of Healthcare Policy & Research402 E. 67th Street / C2 – LA0001B, New York, NY 10065 T: (646) 962-8029 xim2008@med.cornell.edu 05.23.2019

  2. Boxplot

  3. procsgplotdata=toothdat; vboxlen / category=dose boxwidth=0.8transparency=0.7; *boxplot; scatterx=dose y=len / jittertransparency=0.1 markerattrs=(symbol=CircleFilledsize=5) group=dose; *scatterplot; run;

  4. Bar graphs

  5. axis1value=(a=90width=0.5); procgchartdata=mtdat2; vbar type/type=meansumvar=mpg descendingsubgroup=cylmaxis=axis1space=1; run;

  6. Lollipop graph

  7. procsortdata=mtdat; by mpg; run; procsgplotdata=mtdatnoautolegendnoborder; needlex=type y=mpg / group=cyllineattrs=(thickness=2) baselineattrs=(thickness=0); bubblex=type y=mpg size=mpg/bradiusmin=8datalabeldatalabelpos=center; xaxisdisplay=(nolabelnoticks); yaxisoffsetmin=0display=(nolabelnoticksnoline) grid; run;

  8. data test; set test; zero=0; run; procsgpaneldata=test; panelbycyl/ layout=rowlatticenovarnameuniscale=column sort=descending; highlowy=type low=zero high=mpg / group=type; scattery=type x=mpg / group=type markerattrs=(symbol=circlefilled) markerchar=mpg; colaxisoffsetmin=0; rowaxisdisplay=(nolabelnoticks) valueattrs=(size=6); run;

  9. Scatterplot

  10. procsgplotdata=mtdat; regy=mpg x=wt /clmgroup=cylclmtransparency=0.6markerattrs=(size=5); run;

  11. procsgplotdata=mtdat; loessy=mpg x=wt /clmgroup=cyldegree=1markerattrs=(size=5) CLMTRANSPARENCY=0.6; run;

  12. datatest; setmtdat; ifcyl="4"thendo; mpg_4=mpg; wt_4=wt; end; ifcyl="6"thendo; mpg_6=mpg; wt_6=wt; end; ifcyl="8"thendo; mpg_8=mpg; wt_8=wt; end; run; procsgplotdata=test noautolegend; scattery=mpg x=wt /group=cyljitter; ellipse y=mpg_4 x=wt_4 ; ellipse y=mpg_6 x=wt_6 ; ellipse y=mpg_8 x=wt_8 /lineattrs=(pattern=dot) TRANSPARENCY=0.6; run;

  13. Survival plot

  14. proclifetestdata=colon plot=survival(clatrisk(outside) test); time time*status(0); /*put the censor value in the bracket*/ strata adhere/ test=logrank; run;

  15. Reference: • R plot: https://wcm-computing-club.github.io/file_slides/201904_Cooley_Visualization_in_R.html#introduction • Violin plot: https://blogs.sas.com/content/graphicallyspeaking/2012/10/30/violin-plots/#prettyPhoto • Lollipop chart: https://blogs.sas.com/content/graphicallyspeaking/2017/07/24/lollipop-charts/#prettyPhoto • Ellipse: https://blogs.sas.com/content/iml/2014/07/21/add-prediction-ellipse.html

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