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From |
Richard Goldstein <richgold@ix.netcom.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: RE: logistic tranformation, proportion variables |

Date |
Fri, 14 Dec 2007 15:37:33 -0500 |

Since I am just replying to one issue, I have snipped most of Jay's response:

Note that much of the environmetrics literature, but not all, has a slightly different problem -- a problem that I also have and have spoken with StataCorp about, namely that some of the zeros are censored but some are true; thus, there is a mixture distribution and Stata needs to go one step further than just -tobit- or -cnreg-.

Rich

Verkuilen, Jay wrote:

Richard Goldstein wrote:

There is also a large literature in envirometrics on the zeros problem, which goes under the guise of "non-detect analysis." Usually the solution is to use a censored regression model, for which Stata is admirably supplied with tools. Which solution you pick depends a lot on how you see the boundary observation and observed points nearby it (software concerns aside, which in Stata is nearly true, and sample size).

JV

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**References**:**st: RE: logistic tranformation, proportion variables***From:*"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>

**Re: st: RE: logistic tranformation, proportion variables***From:*Richard Goldstein <richgold@ix.netcom.com>

**RE: st: RE: logistic tranformation, proportion variables***From:*"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>

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