I will be very grateful for your help on this issue. Independent Variable (Last Birth CS) is highly correlated with my dependent variable (Caesarean Deliveries). Both are binary variables.
I get the error (outcome=last_birth_CS =0 predicts data perfectly.
I only get the data to run if I drop some other important regressors. Is there away out of this situation? Or my best bet is to do away with either the Last Birth CS variable or the other variables. Thanks.
Related Posts with Independent Variable predicts is highly correlated with dependent variable.
Query about command "arima"Hello I am using the arima command to estimate an ARMA process. My query is about the the constant …
Plotting random and fixed effects using cross-classified logistic model (meqrlogit)Hello Statalist, I am running a cross classified (logistic) age period cohort model. Periods and co…
Merge/appendHi, I am trying to merge my data set in which I have 7 waves which I want to merge, so I can track p…
Separate observations depending on their value in one variableHi all, I have a dataset with many variables that indicate people and certain characteristics, but …
Parallel foreach?To improve speed I would like to parallelize a loop of this kind: Code: global myvars v1 v2 v3 fo…
Subscribe to:
Post Comments (Atom)
0 Response to Independent Variable predicts is highly correlated with dependent variable.
Post a Comment