hi everyone, it keeps show me a error  when I use "survival" package coxph()  for multivariate survival analysis : Error in coxph(Surv(days_to_last_followup, fustat) ~ NRG3 + FSTL5 + ASTN2 +  :   an id statement is required for multi-state models . 
my input data is:
id    days_to_last_followup    fustat     NRG3 FSTL5 ASTN2
TCGA-3L-AA1B                   154  Alive   WT    WT    WT
TCGA-4N-A93T                     8  Alive   WT    WT    WT
TCGA-4T-AA8H                   160  Alive   WT    WT    WT
TCGA-5M-AAT4                     0   Dead   WT    WT    WT
and when i provide id for the coxph method:cox <- coxph(Surv(days_to_last_followup, fustat)~NRG3+FSTL5+ASTN2+MROH2B+ZNF43+COL4A4+AXIN2+SMARCA4+ADAM12+SYNE1+THSD7B, data =multiCox.input ,id =id) , there are no errors show up but I can't see  gene names in cox result:
 coef exp(coef) se(coef) robust se      z Pr(>|z|)  
1   0.29929   1.34890  0.80904   0.67471  0.444    0.657  
2   0.03079   1.03127  0.57015   0.40335  0.076    0.939  
3  -0.21452   0.80693  0.49745   0.39913 -0.537    0.591  
4  -0.16062   0.85161  0.67287   0.64364 -0.250    0.803  
5   0.31424   1.36922  0.81711   0.65210  0.482    0.630
what's wrong in my steps? thanks
Thanks a lot! convert the state to 1,2 does fix the problem! and yes It's always not clear for me how to set the proper survival time for TCGA data. I used to do it like:
clinicalData %>% mutate(futime=ifelse(fustat=="Alive",days_to_last_followup,days_to_death))and then use futime as censored time, but I found thatdays_to_last_followupcould give out a better result. I checked out the links you provided, but still not completely understand the concept. So could you show me some simple lines about how to do this? many thanks.Hey I am stuck with the same error and I can't seem to understand why it's happening. I've posted the issue here and if anyone could help me out, it would be much appreciated!!!!
check this. You should change the type of vector that contains your event data. If your vector is a
factor, recoding fromDead/Aliveinto1/2is not going to work. You need to specify the type of vectoras.numeric.