Frank E Harrell Jr [EMAIL PROTECTED] [Sun, Jul 20, 2008 at 12:20:28AM CEST]:
Johannes Huesing wrote:
Because regulatory bodies demand it?
[...]
And how anyway does this
relate to predictors in a model?
Not at all; you're correct. I was mixing the topic of this discussion
up with another
Johannes Huesing wrote:
Frank E Harrell Jr [EMAIL PROTECTED] [Sun, Jul 20, 2008 at 12:20:28AM CEST]:
Johannes Huesing wrote:
Because regulatory bodies demand it?
[...]
And how anyway does this
relate to predictors in a model?
Not at all; you're correct. I was mixing the topic of this
Hi R helpers,
I'm preparing dataset to fir logistic regression model with lrm(). I
have various cointinous and discrete variables and I would like to:
1. Optimaly discretize continous variables (Optimaly means, maximizing
information value - IV for example)
2. Regroup discrete variables to
milicic.marko wrote:
Hi R helpers,
I'm preparing dataset to fir logistic regression model with lrm(). I
have various cointinous and discrete variables and I would like to:
1. Optimaly discretize continous variables (Optimaly means, maximizing
information value - IV for example)
This will
This time I agree with Rolf Turner. This sounds like homework. Whether or
not, type
?ifelse
in the R-prompt.
Frank is right, it leads to a loss in information. However, I think it
remains interpretable. Further, it is common practice in certain fields, and
it maybe a reasonable way to check
Daniel Malter wrote:
This time I agree with Rolf Turner. This sounds like homework. Whether or
not, type
?ifelse
in the R-prompt.
Frank is right, it leads to a loss in information. However, I think it
remains interpretable. Further, it is common practice in certain fields, and
I have to
True. Thanks for the clarification. Is your conclusion from that that the
findings in such case should only be interpreted in the specific context
(with the awareness that it does not apply to changing contexts) or that
such an approach should not be taken at all?
Frank E Harrell Jr wrote:
Daniel Malter wrote:
True. Thanks for the clarification. Is your conclusion from that that the
findings in such case should only be interpreted in the specific context
(with the awareness that it does not apply to changing contexts) or that
such an approach should not be taken at all?
The
Frank/Danial,
Thank you for very good discussion on this.
The reason I'm doing this is because is it common industrial practice
to group continous varible (say age) in couple of buckets while
developming scorecards to be used by business people. I don't see the
reason why I shouldn't discretize
Frank E Harrell Jr [EMAIL PROTECTED] [Sat, Jul 19, 2008 at 08:03:01PM CEST]:
But even then
why condition on incomplete information when complete information is
available? I.e., why compute Pr(Y=1 | Xx) in place of Pr(Y=1 | X=x)?
Because regulatory bodies demand it? Being employed in a
Johannes Huesing wrote:
Frank E Harrell Jr [EMAIL PROTECTED] [Sat, Jul 19, 2008 at 08:03:01PM CEST]:
But even then
why condition on incomplete information when complete information is
available? I.e., why compute Pr(Y=1 | Xx) in place of Pr(Y=1 | X=x)?
Because regulatory bodies demand it?
milicic.marko wrote:
Frank/Danial,
Thank you for very good discussion on this.
The reason I'm doing this is because is it common industrial practice
to group continous varible (say age) in couple of buckets while
developming scorecards to be used by business people. I don't see the
reason why
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