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From |
Phil Clayton <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Risk tables for Cumulative Incidence Functions? |

Date |
Tue, 2 Aug 2011 09:09:12 +1000 |

Hi Richard, As far as I know you can't easily add at-risk tables to graphs other than those drawn with -sts graph- (at least in version 11.2). But as a work-around you can draw an invisible K-M plot and add the cumulative incidence function(s) as an added plot. This example, which draws the baseline CIF for two groups, is from the manual for -stcrreg postestimation- use http://www.stata-press.com/data/r11/hiv_si, clear stset time, failure(status == 2) stcrreg if !ccr5, compete(status == 1) noshow predict cif_si_0, basecif label var cif_si_0 "ccr5 = 0" stcrreg if ccr5, compete(status == 1) noshow predict cif_si_1, basecif label var cif_si_1 "ccr5 = 1" twoway line cif_si* _t if _t<13, connect(J J) sort /// yscale(range(0 0.5)) title(SI) ytitle(Cumulative Incidence) /// xtitle(analysis time) You can adapt the above line plot and put it inside an invisible K-M plot as follows: sts graph, by(ccr5) risktable plotopts(lstyle(none)) /// hides the K-M plot addplot(line cif_si* _t if _t<13, sort c(J J) lstyle(p1 p2) /// lstyle to get first 2 colours/styles legend(order(3 "ccr5 = 0" 4 "ccr5 = 1"))) /// first 2 lines are hidden title(SI) This tends to squash the CIF plot a little, because the K-M plot y axis is forced to range from 0 to 1. You can use the -fail- option for -sts graph- but it will still squash it a bit because the K-M failure estimator overestimates the cumulative incidence in the presence of the competing risk. So I usually multiply the CIF by 100 and plot it as a %: replace cif_si_0=100*cif_si_0 replace cif_si_1=100*cif_si_1 sts graph, by(ccr5) risktable plotopts(lstyle(none)) /// addplot(line cif_si* _t if _t<13, sort c(J J) lstyle(p1 p2) /// legend(order(3 "ccr5 = 0" 4 "ccr5 = 1"))) /// ylab(0(10)40, format(%1.0f)) /// override default K-M plot format of 1 decimal place yline(0(10)40, lstyle(grid)) ytitle("Cumulative incidence (%)") title(SI) Of course you can adapt the above to draw at-risk tables with any plot, for example adjusted predictions after a regression. There is also a program from 2004 called -stsatrisk- by Jean Marie Linhart and Jeff Pitblado which acts as a wrapper to -sts graph- - my guess is that this was a precursor to the current functionality of the -risktable- option. It may be possible to adapt it for your situation. Hope this helps, Phil On 02/08/2011, at 4:59 AM, Richard Sylvester wrote: > Hi, > > Using sts graph, it is possible to show the number at risk at various time points for the Kaplan-Meier survivor function via risktable. However is it possible to show the number at risk when plotting the cumulative incidence function? stscurve doesn't seem to have this possibility. > > Thanks, > > Richard Sylvester > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Risk tables for Cumulative Incidence Functions?***From:*Richard Sylvester <[email protected]>

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