My dependent variable is Diabetes ("1" for Yes and "0" for No).
Independent variables are age, sex, smoking, alcohol, paan, obesity
I apply a logistic regression model, and I want to calculate the relative risk (RR) and population attributable fraction (PAF) of the interaction term.
This is my data
This is the syntax
What is the command to calculate RR and PAF for the interaction term?
Independent variables are age, sex, smoking, alcohol, paan, obesity
I apply a logistic regression model, and I want to calculate the relative risk (RR) and population attributable fraction (PAF) of the interaction term.
This is my data
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(Diabetes age) byte sex float(smoking alcohl paan obesity) 0 24 1 0 0 1 0 0 34 1 0 1 0 1 0 16 1 0 0 0 0 0 28 1 0 0 0 0 0 23 1 0 0 1 0 0 21 1 0 0 0 0 0 28 1 0 1 0 0 0 30 1 0 1 0 1 0 26 1 0 0 0 1 0 46 1 0 0 1 1 0 18 1 0 0 0 0 0 32 1 0 0 0 1 0 42 1 0 0 0 1 0 36 1 0 0 0 0 0 33 1 0 1 1 1 0 38 1 0 0 0 1 0 21 1 0 0 0 0 0 37 1 0 0 0 1 0 22 1 0 0 0 1 0 27 1 0 0 0 1 0 36 1 0 1 0 1 0 25 1 0 0 0 0 0 26 1 0 0 0 1 . 36 1 0 0 0 1 0 16 1 0 0 0 0 0 30 1 0 0 0 1 . 19 1 0 0 0 . . 40 1 0 0 0 0 0 18 1 0 0 0 0 0 17 1 0 0 0 1 0 43 1 0 0 0 0 0 19 1 0 1 0 0 0 45 1 0 0 0 1 0 21 1 0 0 0 0 0 18 1 0 0 0 0 0 16 1 0 0 0 0 0 15 1 0 0 0 1 0 25 1 0 0 0 0 0 21 1 0 0 0 0 0 49 1 0 0 0 1 0 24 1 0 0 0 1 0 22 1 0 0 0 1 0 15 1 0 0 0 0 0 31 1 0 0 0 1 0 33 1 0 0 0 1 0 29 1 0 0 0 1 0 16 1 0 0 0 0 0 16 1 0 0 0 0 0 48 1 0 0 0 0 0 26 1 0 0 0 1 0 48 1 0 0 0 0 0 22 1 0 1 0 0 0 26 1 0 0 0 1 0 35 1 0 0 0 1 0 47 1 0 0 1 1 0 49 1 0 1 0 1 1 40 1 0 0 0 1 0 32 1 0 0 0 0 0 38 1 0 0 0 1 0 22 1 0 1 0 0 0 38 1 0 0 0 1 0 49 1 0 0 0 0 0 16 1 0 0 0 0 1 47 1 0 0 0 1 0 16 1 0 0 0 0 0 36 1 0 0 0 1 0 15 1 0 0 0 0 0 26 1 0 1 0 0 0 45 1 0 1 0 1 0 39 1 0 0 0 0 0 16 1 0 0 0 0 0 15 1 0 0 0 0 0 25 1 0 0 0 0 1 18 1 0 0 0 0 0 15 1 0 0 0 0 0 26 1 0 0 0 0 0 33 1 0 1 0 0 0 26 1 0 0 0 0 0 27 1 0 1 0 1 0 31 1 0 1 1 0 0 23 1 0 0 0 1 0 38 1 0 1 1 0 0 38 1 0 0 0 1 0 38 1 0 1 0 0 0 22 1 0 0 0 0 0 31 1 0 0 0 1 . 37 1 0 0 0 0 0 22 0 0 0 0 0 0 45 1 0 0 0 . 0 32 0 0 1 0 0 . 25 1 0 0 0 0 0 45 1 0 0 0 . 0 38 1 0 0 0 0 0 20 1 0 0 0 0 0 28 0 1 1 1 0 0 31 1 0 0 0 0 0 16 1 0 0 0 1 0 35 0 0 0 0 0 0 35 0 0 0 0 1 0 33 1 0 1 0 1 end label values Diabetes Diabetes label def Diabetes 0 "no diabetes", modify label def Diabetes 1 "diabetes", modify label values sex sex label def sex 0 "male", modify label def sex 1 "female", modify
Code:
logit Diabetes age i.sex i.smoking#alcohl#paan#obesity, nolog allbase