| title: “Trasplante de progenitores hematopoyéticos Clínica Colsánitas” |
| output: |
| flexdashboard::flex_dashboard: |
| orientation: columns |
| vertical_layout: fill |
trasplantes.ts <- ts(total,start = 2022,frequency = 12 )
plot(trasplantes.ts)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 18.75 38.82 57.65 52.14 63.68 74.34
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 11.00 15.00 17.00 18.04 20.00 35.00 5
## Call: survfit(formula = Surv(SLP, evento, type = "right") ~ 1, data = Auto)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 28 17 0.813 0.0422 0.734 0.9
## Call: survfit(formula = Surv(SG, censura, type = "right") ~ 1, data = Auto)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 28 15 0.836 0.04 0.761 0.918
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 21.82 42.99 47.17 46.62 57.60 65.59
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 18.00 21.00 22.00 24.52 25.00 44.00 3
## Call: survfit(formula = Surv(SLP, evento, type = "right") ~ 1, data = identico)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 7 6 0.748 0.0933 0.586 0.955
## Call: survfit(formula = Surv(SG, Censura, type = "right") ~ 1, data = identico)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 8 5 0.752 0.103 0.575 0.984
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 18.69 25.73 35.94 39.73 51.94 67.80
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 19.00 26.25 28.50 31.24 37.75 51.00 1
## Call: survfit(formula = Surv(SLP, evento, type = "right") ~ 1, data = haplo)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 4 17 0.399 0.101 0.244 0.655
## Call: survfit(formula = Surv(SG, Censura, type = "right") ~ 1, data = haplo)
##
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 365 4 17 0.392 0.101 0.237 0.649