I am trying to compute median and range of overall survival in months after transformation for my data. When I use scale of 365.25, stci displays median and range, but when I change the scale to 12 and do the analysis, it gives nothing. What am I doing wrong? I would like the scale of years for the K-M plots but want to display median survival by months.
My code:
stset datelfu, failure(vital == 0) origin(time dotrans) exit(time dotrans + 365.25* 4) scale(365.25) // Final 4 year OS after transformation...thanks to Clyde pointing that it is origin and not enter
stci, by(age65)
vs
stset datelfu, failure(vital == 0) origin(time dotrans) exit(time dotrans + 12 * 4) scale(12) // Final 4 year OS after transformation...thanks to Clyde pointing that it is origin and not enter
stci, by(age65)
My code:
stset datelfu, failure(vital == 0) origin(time dotrans) exit(time dotrans + 365.25* 4) scale(365.25) // Final 4 year OS after transformation...thanks to Clyde pointing that it is origin and not enter
stci, by(age65)
vs
stset datelfu, failure(vital == 0) origin(time dotrans) exit(time dotrans + 12 * 4) scale(12) // Final 4 year OS after transformation...thanks to Clyde pointing that it is origin and not enter
stci, by(age65)
Code:
* Example generated by -dataex-. For more info, type help dataex clear input float age65 int(dotrans datelfu) byte vital 0 20783 21381 0 1 20423 22581 1 1 20620 22586 1 0 20529 21011 0 1 20836 20860 0 1 20977 21281 0 1 20996 22530 1 1 20831 21160 0 1 21011 21197 0 1 20915 21130 0 0 19876 20691 0 0 20620 20823 0 1 19998 20761 0 0 19757 20188 0 0 20237 20258 0 1 20173 20248 1 0 19429 20194 0 1 19927 22572 1 1 20121 20383 0 1 19956 20283 0 1 20200 20382 1 0 20230 20392 0 1 20251 20389 0 0 20370 22418 1 1 19170 20466 0 0 20180 20761 0 0 19849 22575 1 0 19586 22085 1 0 19921 19960 1 1 19670 19997 1 1 19502 19567 0 1 19600 19600 1 0 19677 19835 0 0 18992 19050 0 1 19275 19320 1 0 19302 22581 1 1 18827 18830 1 0 18956 18968 0 0 18382 18695 0 0 18016 18370 0 1 18051 18066 0 1 17904 18009 1 1 17507 17752 0 1 17722 17948 1 1 17766 17825 0 0 17729 17846 1 1 17876 17876 1 1 17157 17178 1 1 17176 17226 0 0 16919 17454 0 0 17283 17425 0 1 17372 19156 1 0 16912 16918 0 0 16663 17124 0 1 16802 17162 0 0 16713 16713 1 0 16712 17631 1 0 16439 16454 0 1 16432 17173 1 0 16301 16439 0 1 16099 16190 0 0 15937 16119 1 1 15874 15882 0 0 15767 16133 1 0 15308 16415 1 1 15628 15628 1 0 15111 15701 0 0 15606 15962 1 0 15349 15361 0 0 15200 15340 0 1 14610 15349 0 0 15013 15045 1 0 14735 14940 0 1 14676 14792 0 1 21084 21262 0 1 21172 21181 1 1 21286 22078 0 0 21049 21715 0 1 21355 21633 0 1 21538 21574 1 1 21613 22677 1 1 21620 22428 1 1 21726 21868 0 1 21964 21978 0 1 21448 22571 1 1 22102 22152 1 0 22147 22580 1 1 22179 22221 0 1 22217 22587 1 1 22302 22323 1 1 22335 22476 0 1 19709 21362 1 1 20626 21591 0 1 21097 22672 1 1 20985 22300 1 1 19358 19358 1 0 22630 22700 1 1 22679 22699 1 1 21165 21179 1 0 20851 22599 1 end format %td dotrans format %td datelfu label values age65 age2 label def age2 0 "<65 years", modify label def age2 1 ">=65 years", modify label values vital vitallab label def vitallab 0 "Dead", modify label def vitallab 1 "Alive", modify
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