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From |
Ronan Conroy <rconroy@rcsi.ie> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: RE: Reconstructing the distribution from interval data |

Date |
Thu, 9 Sep 2010 10:48:58 +0100 |

On 8 MFómh 2010, at 19:34, Austin Nichols wrote:

The ML approach seems preferable; for income data, see e.g. http://fmwww.bc.edu/repec/bocode/g/gbgfit.html and if you assume a family of distributions for #procedures (Poisson, maybe?), you can estimate those parameters the same way.

Ronán Conroy Associate Professor Division of Population Health Sciences ================================= rconroy@rcsi.ie Royal College of Surgeons in Ireland Epidemiology Department, Beaux Lane House, Dublin 2, Ireland +353 (0)1 402 2431 +353 (0)87 799 97 95 +353 (0)1 402 2764 (Fax - remember them?) http://rcsi.academia.edu/RonanConroy P Before printing, think about the environment * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**RE: st: RE: Reconstructing the distribution from interval data***From:*"Kieran McCaul" <Kieran.McCaul@uwa.edu.au>

**References**:**st: Reconstructing the distribution from interval data***From:*Ronan Conroy <rconroy@rcsi.ie>

**st: RE: Reconstructing the distribution from interval data***From:*"David Radwin" <dradwin@mprinc.com>

**Re: st: RE: Reconstructing the distribution from interval data***From:*Austin Nichols <austinnichols@gmail.com>

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