Hi, I am running the following program
Regression analysis for predictors of ICU admission(icu) against patient variables such as (age), (race), and other patient parameters(insur los hospday i.loc cancel orgdys___0 orgdys___1 etc).
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Code: logistic icu age race i.insur los hospday i.loc cancel orgdys___0 orgdys___1 orgdys___2 orgdys___3 orgdys___4 orgdys___5 sirs___0 sirs___1 sirs___2 sirs___3 flu hypoten abx ams qsofa___0 qsofa___1 qsofa___3 t2dm htn chf cad esrd copd afib cld smok alc i.bmi art
Result:
Array
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
I do not understand why I have so many missing values for p-value and CI etc
However, when I run a subset of the patient parameters such as the following example, I get meaningful results.
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Code: logistic icu age race i.insur los hospday i.loc cancel orgdys___0 orgdys___1 orgdys___2 orgdys___3 orgdys___4 orgdys___5 sirs___0 sirs___1 sirs___2 sirs___3
Results:
Array
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Can someone please help me understand why the former code generates so many missing values in the results?
0 Response to Missing values when I run regression analysis
Post a Comment