Modeling the covariates effects on the hazard function by piecewise exponential artificial neural networks: an application to a controlled clinical trial on renal carcinoma.
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%0 Journal Article
%1 journals/bmcbi/ForniliBAB18
%A Fornili, Marco
%A Boracchi, Patrizia
%A Ambrogi, Federico
%A Biganzoli, Elia
%D 2018
%J BMC Bioinform.
%K dblp
%N 7
%P 23-29
%T Modeling the covariates effects on the hazard function by piecewise exponential artificial neural networks: an application to a controlled clinical trial on renal carcinoma.
%U http://dblp.uni-trier.de/db/journals/bmcbi/bmcbi19S.html#ForniliBAB18
%V 19-S
@article{journals/bmcbi/ForniliBAB18,
added-at = {2020-05-30T00:00:00.000+0200},
author = {Fornili, Marco and Boracchi, Patrizia and Ambrogi, Federico and Biganzoli, Elia},
biburl = {https://www.bibsonomy.org/bibtex/28dc98762aba8ac3ddb6a80b355e1754d/dblp},
ee = {https://www.wikidata.org/entity/Q90681930},
interhash = {a795f099b38a01d0a42488f4bdca15b4},
intrahash = {8dc98762aba8ac3ddb6a80b355e1754d},
journal = {BMC Bioinform.},
keywords = {dblp},
number = 7,
pages = {23-29},
timestamp = {2020-06-02T11:46:54.000+0200},
title = {Modeling the covariates effects on the hazard function by piecewise exponential artificial neural networks: an application to a controlled clinical trial on renal carcinoma.},
url = {http://dblp.uni-trier.de/db/journals/bmcbi/bmcbi19S.html#ForniliBAB18},
volume = {19-S},
year = 2018
}
