On Nov 19, 2012, at 1:57 AM, wouterjohannes wrote:
No, I never got any response. I used an article by Knol to solve the
issue. Ik hope this is useful for you too.
Best regards,
Wouter
Knol, M.J., van, d.T., Grobbee, D.E., Numans, M.E., Geerlings, M.I.,
2007. Estimating interaction on a
Hi,
No, I never got any response. I used an article by Knol to solve the issue. Ik
hope this is useful for you too.
Best regards,
Wouter
Knol, M.J., van, d.T., Grobbee, D.E., Numans, M.E., Geerlings, M.I., 2007.
Estimating interaction on an additive scale between continuous determinants in
In many situations the interactions indicated by additive risk models are
false in the sense that they merely reflect restrictions so that risk are in
[0,1]. I tend to prefer models that have no restrictions on the parameters.
In fact, I think that a test of goodness of fit of a model can be made
On 16.11.2012 02:39, sarahw wrote:
Did you ever get a response to this or resolve this yourself?
You sent a message to the mailing list, but apparently not to the
original poster.
Uwe Ligges
Many thanks!
--
View this message in context:
http://r.789695.n4.nabble.com/additive-inter
Did you ever get a response to this or resolve this yourself?
Many thanks!
--
View this message in context:
http://r.789695.n4.nabble.com/additive-interaction-for-a-dichotomous-dependent-variable-i-e-risk-difference-tp4635842p4649687.html
Sent from the R help mailing list archive at Nabble.com
Dear all,
For my research I want to test additive interaction for a dichotomous
dependent variable. Can anyone help me to estimate this in R?
Wacholder describes this procedure in the American Journal of Epidemiology
in 1986 (Binomial regression in GLIM: estimating risk ratios and risk
differenc
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