(Ted Harding) wrote:
On 03-May-05 Frank E Harrell Jr wrote:

walmir-rodrigues wrote:

Dear Fellows,

How can I do to proced a step wise regression in R, if it�s possible ?

Thanks,

Walmir

Here is an easy approach that will yield results only slightly less valid than one actually using the response variable:


x <- data.frame(x1,x2,x3,x4,..., other potential predictors)
x[,sample(ncol(x))]

:-) -Frank


Frank, you are a sneaky subversive! But you have given me a
technical clue for a project long near to my heart (with
Andy's important "random parsimony" refinement).

Now I get Andy's comment - missed before that we need to randomly set parsimony level then sample without replacement.




This is to implement software-driven Clinical Trials articles, for submission to standard peer-reviewed journals.

The underlying engine would be the dada-engine. For samples
of what this can generate, visit

http://www.elsewhere.org/cgi-bin/postmodern

What a great site!


repeatedly (or click on the "To generate another essay, follow this link" link you will find just below the article generated; repeat ad libitum).

Also at the foot of the page, you will find links to explanations
of how it works. See also

  http://dev.null.org/dadaengine/

The basis is that articles of certain kinds have a predictable
structure, and utilise terminology, phrases, sentence-structures
and substantive elements drawn from typical usage, and are such
that the real thing is indistiguishable from the results of sampling
these elements at random, under the control of a rulebased recursive
transition network automaton.

Tailor-made for Clinical Trials, methinks. (Mind you, someone
once did a lot of work setting up the rulebase for the PostModern
Lit Crit genre which is what you get in the above samples).

Great idea!!

Frank


Best wishes, Ted.




--
Frank E Harrell Jr   Professor and Chair           School of Medicine
                     Department of Biostatistics   Vanderbilt University

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