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Re: st: ologit maximum-likelihood

From   Jose Maria <[email protected]>
To   [email protected]
Subject   Re: st: ologit maximum-likelihood
Date   Mon, 02 Feb 2004 22:09:22 -0200

Richard Gates escreveu:

Given a vector of covariates x and unknown parameters b, the odds for
the event y <= j is k_j*exp(-x'b), j=1,..,m. That is, the odds of observing y less than or equal to category j is proportional to
exp(-x'b). The reported cut points from Stata are cut_j = log(k_j).
. . . . . . . . .
Or . predict poor fair average good excellent
(option p assumed; predicted probabilities)

. table foreign, c(mean poor mean fair mean average mean good mean
Car type | mean(poor) mean(fair) mean(aver~e) mean(good) mean(exce~t)
Domestic | .0407623 .163049 .5703853 .18834 .0374633
Foreign | .0021504 .0106652 .1353087 .4176569 .4342188

I hope this helps.

[email protected]

On Sun, 2004-02-01 at 16:35, Jose Maria wrote:

Dear Stata people:
I am at loss to understand better the output of the command -ologit-:
1. is it possible to show me, numerically, using the example of page 475-476 of version6 manual, the property given in
Dear Rich:
thank you very much. Sure it helped. I got, also, some papers from STB and Stata library.
I am reading all carefully.
Jose Maria

Jose Maria Pacheco de Souza, Professor Titular
Departamento de Epidemiologia
Faculdade de Saude Publica/Universidade de Sao Paulo
Av. Dr. Arnaldo, 715	cep 01246-904
Sao Paulo	Brasil
fones (11)3082-3886  (11)3714-2403  (11)3768-8612
fax   (11)3082-2920  (11)3714-2403
[email protected]

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