This is the question bothering me long time.
If we want to look at effects of some dichotomous variables on a continous variable in a whole model, should we use these dichotomous variables as independent variables and the continous variable as dependent variable in a multiple linear regression model? These dichotomous variables can be sex, events (1 represents yes and 0 represents no) and are very common used in clinical research.
I have seen some papers used it and was published. for example:
http://www.sciencedirect.com/scienc...id=37161&md5=1264e4a2b93c3cd37dac3d4266bc2dc3
But this is confusing because for dichotomous variables it is not making sense to put them into linear model.
Please correct me if I am wrong. Or is there any better solutions to deal with this situation?
Thank you.
If we want to look at effects of some dichotomous variables on a continous variable in a whole model, should we use these dichotomous variables as independent variables and the continous variable as dependent variable in a multiple linear regression model? These dichotomous variables can be sex, events (1 represents yes and 0 represents no) and are very common used in clinical research.
I have seen some papers used it and was published. for example:
http://www.sciencedirect.com/scienc...id=37161&md5=1264e4a2b93c3cd37dac3d4266bc2dc3
But this is confusing because for dichotomous variables it is not making sense to put them into linear model.
Please correct me if I am wrong. Or is there any better solutions to deal with this situation?
Thank you.
