Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lacey Gunter"'
Publikováno v:
Journal of Biopharmaceutical Statistics. 21:1063-1078
For many years, subset analysis has been a popular topic for the biostatistics and clinical trials literature. In more recent years, the discussion has focused on finding subsets of genomes which play a role in the effect of treatment, often referred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8af77e707f7433b42dcd2fc904434e3b
https://doi.org/10.1080/10543406.2011.608052
https://doi.org/10.1080/10543406.2011.608052
Autor:
Lacey Gunter, Mona L. Martin, Cathie Spino, Donald L. Patrick, Melanie Sisson, Tara Symonds, Paresh Soni
Publikováno v:
The Journal of Sexual Medicine. 4:1328-1335
Introduction Recently, there has been much discussion in the literature about how to determine the meaningfulness of results generated from a patient-reported outcome measure. A number of reviews have shown that there are two main approaches: anchor-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2aea4b265a091350495424b2e5f5ec7
https://doi.org/10.1111/j.1743-6109.2007.00562.x
https://doi.org/10.1111/j.1743-6109.2007.00562.x
Autor:
Ji Zhu, Lacey Gunter
Publikováno v:
Neural Computation. 19:1633-1655
In this letter, we derive an algorithm that computes the entire solution path of the support vector regression (SVR). We also propose an unbiased estimate for the degrees of freedom of the SVR model, which allows convenient selection of the regulariz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa97015e9450852f9dc80d04704f174
https://doi.org/10.1162/neco.2007.19.6.1633
https://doi.org/10.1162/neco.2007.19.6.1633
Publikováno v:
Pakistan Journal of Statistics and Operation Research, Vol 7, Iss 2-Sp (2011)
Pakistan Journal of Statistics and Operation Research; Vol 7. No. 2-Sp, Oct 2011
Pakistan Journal of Statistics and Operation Research; Vol 7. No. 2-Sp, Oct 2011
In this paper, we compare the method of Gunter et al. (2011) for variable selection in treatment comparison analysis (an approach to regression analysis where treatment-covariate interactions are deemed important) with a simple stepwise selection met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64e0fd755acb71ea6da8da722a837799
https://doi.org/10.18187/pjsor.v7i2-sp.311
https://doi.org/10.18187/pjsor.v7i2-sp.311
In this article we discuss variable selection for decision making with focus on decisions regarding when to provide treatment and which treatment to provide. Current variable selection techniques were developed for use in a supervised learning settin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7de47f482cbbed796acf8c9e2d4783b4
https://europepmc.org/articles/PMC3003934/
https://europepmc.org/articles/PMC3003934/
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783540735984
AIME
AIME
This paper discusses variable selection for medical decision making; in particular decisions regarding which treatment to provide a patient. Current variable selection methods were designed for use in prediction applications. These techniques often l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d83b2780aec114dfb73c905af142b1d4
https://doi.org/10.1007/978-3-540-73599-1_17
https://doi.org/10.1007/978-3-540-73599-1_17