[R] nonparametric logistic regression based on locally weighted scatterplot smoothing (lowess)

[Thomas Lumley]

The Stanform gam()  [gam package] has choices of spline or
local-polynomial (defaulting to local-linear) smoothers.  That's
probably the best match for the description.  It  shouldn't be
necessary to guess -- the paper should have cited the package -- but
we know that is often missed.

    -thomas

On Sun, Jun 5, 2011 at 7:43 AM, Bert Gunter <gunter.berton at gene.com> wrote:
> Take a look at packages mgcv or gam (and probably others). Different
> smoothers are used, but it's nonlinear, nonparametric logistic
> regression. which is usually the important part. It also penalizes,
> which can be even more important than which smoother is used.
>
> -- Bert
>
> On Sat, Jun 4, 2011 at 9:02 AM, David Winsemius <dwinsemius at comcast.net> wrote:
>>
>> On Jun 4, 2011, at 11:41 AM, zhu yao wrote:
>>
>>> Dear UseRs:
>>>
>>> Recently, I have read an article regarding the association between age and
>>> lymph node metastases.
>>> http://jco.ascopubs.org/content/27/18/2931.long
>>> In statistical analysis, the authors stated "Because a nonlinear
>>> relationship between age and lymph node involvement was expected based on
>>> existing literature, lymph node involvement was also regressed on age
>>> using
>>> nonparametric logistic regression based on locally weighted scatterplot
>>> smoothing (lowess)."
>>> <http://jco.ascopubs.org/content/27/18/2931.long#ref-11>
>>> Could someone explain nonparametric logistic regression based on locally
>>> weighted scatterplot smoothing (lowess)?
>>> Or it is nonparametric regression based on locally weighted scatterplot
>>> smoothing (lowess)
>>>
>>
>> One can use a logistic link and a local likelihood. Loader describes the
>> advantages of such a strategy and shows a worked example in pages 60-65 of
>> her text "Local Regression and Likelihood".  But there is no apparent R
>> content in this question (and the authors of the above paper said they used
>> SAS) so this very much off-topic for this list. You really should start such
>> requests for explication by addressing the authors of the paper. Two other
>> web-based statistical sites for general or medical statistics questions can
>> be found at the GoogleGroups MedStats group and
>> http://stats.stackexchange.com/ .
>>
>> --
>> David Winsemius, MD
>> West Hartford, CT
>>
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>>
>
>
>
> --
> "Men by nature long to get on to the ultimate truths, and will often
> be impatient with elementary studies or fight shy of them. If it were
> possible to reach the ultimate truths without the elementary studies
> usually prefixed to them, these would not be preparatory studies but
> superfluous diversions."
>
> -- Maimonides (1135-1204)
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Thomas Lumley
Professor of Biostatistics
University of Auckland