t; Sent: Thursday, August 04, 2016 9:12 AM
> To: Laviolette, Michael
> Cc: r-help@r-project.org
> Subject: Re: [R] Odds ratios in logistic regression models with interaction
>
> I suspect that "you can't get there from here"... a1$fit and a2$fit are not
> independ
7
exp(est.ln.or - 1.96 * se.ln.or)
# [1,] 1.712885
exp(est.ln.or + 1.96 * se.ln.or)
# [1,] 8.877148
-Original Message-
From: peter dalgaard [mailto:pda...@gmail.com]
Sent: Thursday, August 04, 2016 9:12 AM
To: Laviolette, Michael
Cc: r-help@r-project.org
Subject: Re: [R] Odds ratios in logi
-Original Message-
From: Michael Dewey [mailto:li...@dewey.myzen.co.uk]
Sent: Thursday, August 04, 2016 8:32 AM
To: Laviolette, Michael; r-help@r-project.org
Subject: Re: [R] Odds ratios in logistic regression models with interaction
Laviolette, Michael wrote :
> I'm trying t
I suspect that "you can't get there from here"... a1$fit and a2$fit are not
independent, so you can't work out the s.e. of their difference using
sqrt(a1$se.fit^2+a2$se.fit^2).
You need to backtrack a bit and figure out how a1$fit-a2$fit relates to
coef(fit3.16). I suspect it is actually just
Laviolette, Michael wrote :
> I'm trying to reproduce some results from Hosmer & Lemeshow's "Applied
> Logistic
> Regression" second edition, pp. 74-79. The objective is to estimate odds
> ratios
> for low weight births with interaction between mother's age and weight
> (dichotomized at 110 lb.
I'm trying to reproduce some results from Hosmer & Lemeshow's "Applied Logistic
Regression" second edition, pp. 74-79. The objective is to estimate odds ratios
for low weight births with interaction between mother's age and weight
(dichotomized at 110 lb.). I can get the point estimates, but I c
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