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From |
"Newson, Roger B" <r.newson@imperial.ac.uk> |

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

Subject |
st: RE: A simple question about Generalized Linear Model |

Date |
Thu, 23 Aug 2007 11:09:10 +0100 |

If you type in Stata help glm postestimation then you will find out about the calculation of predicted values for generalized linear models after you have used -glm-. The commands described there will probably be useful for your purposes. I hope this helps. Roger Roger Newson Lecturer in Medical Statistics Respiratory Epidemiology and Public Health Group National Heart and Lung Institute Imperial College London Royal Brompton campus Room 33, Emmanuel Kaye Building 1B Manresa Road London SW3 6LR UNITED KINGDOM Tel: +44 (0)20 7352 8121 ext 3381 Fax: +44 (0)20 7351 8322 Email: r.newson@imperial.ac.uk Web page: www.imperial.ac.uk/nhli/r.newson/ Departmental Web page: http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/pop genetics/reph/ Opinions expressed are those of the author, not of the institution. -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Mao Fan Sent: 23 August 2007 01:20 To: statalist Subject: st: A simple question about Generalized Linear Model Hi, Here is my question: The condistional distribution of Y given X is Y|X~N(b0+b1'X,sigma2) I use glm command to estimate this conditional distribution. Now I wish to predict the following probability based on glm estimates: P = (1/sqrt(2*pi*sigma2))exp(-(Y-b0-b1'X)^2/2sigma^2) How could I get the predicted value of P? Thanks a lot! David * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: RE: A simple question about Generalized Linear Model***From:*"Mao Fan" <maoyongfan@gmail.com>

**References**:**st: A simple question about Generalized Linear Model***From:*"Mao Fan" <maoyongfan@gmail.com>

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