As Adel has probably heard during some statistics class, according to a long
lasting rule-of-thumb, researcher should have around 20 observations for
each predictor included in her/his multiple linear regression model. I would
assume that this guidance may sound interesting for Tobit models, too.
Last time I came across this recommendation was in: Katz MH. Multivariable
Analysis. A Practical Guide for Clinicians, 2nd edition. Cambridge:
Cambridge University Press, 2006: 81.
Kindest Regards,
Carlo
-----Messaggio originale-----
Da: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Adel Enpaya
Inviato: domenica 2 dicembre 2012 11:25
A: 'statalist@hsphsun2.harvard.edu'
Oggetto: RE: st: Tobit regression Model
Dear Stateliest
I have data set of 183 observations and 36 variables include 13 dummy
variables when I run Tobit regression model, No results obtain, but if if I
reduce the number of variable , I can obtains result, is there any
relationship between number of variables, number and observations and
(degree of freedom) Thanks Adel
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