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.
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Software component provided by Boston College Department of Economics in its series Statistical Software Components with number
S345401.
Size: Programming language: Stata Requires: Date of creation: 21 Apr 1998 Date of revision: Handle: RePEc:boc:bocode:s345401
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