On Thu, 2011-10-06 at 20:12 -0700, pigpigmeow wrote:
> chris,
> I'm not using lmer, i just use gam mixed with smoothing function and linear
> function
> I have the following question,
> 1.if I reject the variable term which has greater the p-value no matter the
> variable term is smoothing term or
Removing variables because of high P-values is not a valid procedure. Use of
AIC or BIC is just a restatement of P-values. AIC can be quite useful if
you have posited a very small number of fully pre-specified models (e.g., 2
or 3) and want to choose between them. Stepwise variable selection wit
chris,
I'm not using lmer, i just use gam mixed with smoothing function and linear
function
and summary of the model, it shows
Family: gaussian
Link function: log
Formula:
newNO2 ~ pressure + s(maxtemp, bs = "cr") + s(avetemp, bs = "cr") +
s(mintemp, bs = "cr") + RH + s(solar, bs = "cr") +
I hadn't seen that page Dennis, that makes the case much more succinctly than
my anti stepwise ramblings!
Furthermore, "pigpigmeow" if you are using a random effects model i.e lmer -
where are you getting your p-values from? And what do they mean in this
context? I would strongly advise using i
Hi:
Please read this:
http://www.stata.com/support/faqs/stat/stepwise.html
Dennis
On Thu, Oct 6, 2011 at 6:41 AM, pigpigmeow wrote:
> using AIC/BIC, I'm not know too much about this. I just know using p-value to
> perform stepwise regression
>
> if I used p-value to perform multimodel stepwise
using AIC/BIC, I'm not know too much about this. I just know using p-value to
perform stepwise regression
if I used p-value to perform multimodel stepwise regression, is it correct
in the first message box?
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Why not use AIC / BIC based model selection which in this case makes more sense
than artificial P-Values, and eliminates the problems of stepwise regression.
For background read Burnham and anderson - multimodel selection.
Chris.
On 6 Oct 2011, at 08:14, pigpigmeow wrote:
If I used mixed mode
If I used mixed model ( linear + smoothing function)
How can I used p-value to perform stepwise regression???
Is it similar of Pr(<|t|) of linear term and P-value of smoothing term but T
value of linear and F of smoothing term?
please help!
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