Hi,
I got a problem when using subgroupAnalysis function.
The R code is:
`res.cox = coxph(Surv(discharge_death_365days_duration, discharge_death_365days==1)~
metformin+aki_stage+Age+gender+
HTN+CKD+CHF+LC+CVA+COPD+hyperlipidemia+IHD+
SOFA_score+heart_rate_mean+mbp_mean+resp_rate_mean+
spo2_mean+hemoglobin_mean+platelets_mean+wbc_mean+aniongap_mean+
bicarbonate_mean+bun_mean+chloride_mean+
creatinine_mean+sodium_mean+potassium_mean+
GCS+charlson_comorbidity_index+ward+
ethnicity+insurance_new+vasopressor, data=mydata_1)
res.cox
sub_cox_adj <- subgroupAnalysis(res.cox, mydata_1, treatment="metformin",
subgroups=c( "HTN" ) )`
The error message is:
Error in anova.coxphlist(object, test = test) :
models were not all fit to the same size of dataset
In addition: Warning message:
In anova.coxphlist(object, test = test) :
Models with response c(" 1)", " 1)") removed because response differs from model 1
How could I fix it?
Thank you.
Hi,
I got a problem when using subgroupAnalysis function.
The R code is:
`res.cox = coxph(Surv(discharge_death_365days_duration, discharge_death_365days==1)~
metformin+aki_stage+Age+gender+
HTN+CKD+CHF+LC+CVA+COPD+hyperlipidemia+IHD+
SOFA_score+heart_rate_mean+mbp_mean+resp_rate_mean+
spo2_mean+hemoglobin_mean+platelets_mean+wbc_mean+aniongap_mean+
bicarbonate_mean+bun_mean+chloride_mean+
creatinine_mean+sodium_mean+potassium_mean+
GCS+charlson_comorbidity_index+ward+
ethnicity+insurance_new+vasopressor, data=mydata_1)
res.cox
sub_cox_adj <- subgroupAnalysis(res.cox, mydata_1, treatment="metformin",
subgroups=c( "HTN" ) )`
The error message is:
Error in anova.coxphlist(object, test = test) :
models were not all fit to the same size of dataset
In addition: Warning message:
In anova.coxphlist(object, test = test) :
Models with response c(" 1)", " 1)") removed because response differs from model 1
How could I fix it?
Thank you.