TRNBIN0: Stata module to estimate zero-truncated negative binomial regression

Joseph Hilbe

Statistical Software Components from Boston College Department of Economics

Abstract: A 0-truncated negative binomial model is appropriate when modeling count data which have no possibility of having 0 values. This is to be distinguished from data sets without 0 values, but which may have 0's. For example, length of hospital stay data (LOS) begins with patients having a LOS of 1. 0 values are not allowed. This is a situation where a truncated model may be appropriate.

Language: Stata
Date: 1998-04-21
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http://fmwww.bc.edu/repec/bocode/t/trnbin0.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/n/nbin0lf.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/t/trnbin0.hlp help file (text/plain)

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