Dear all,
This may be a silly question (I should prefix all my stata posts with
that) but what is the best way to handle a heavily left-censored
predictor (independent) variable in a linear regression model?
I am aware of Tobit modelling for censored dependent variables but
have not seen much about censored independents which I find very odd.
I saw mention of maximum likelihood estimations but not sure how that
might apply. The dependent variable in my case is nicely normal
(after transform) and not censored.
Many thanks,
Nikos
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