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Biostatistics 2007 8(1):1; doi:10.1093/biostatistics/kxl033
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Published by Oxford University Press 2006.

Software and data news


   INTRODUCTION
TOP
 INTRODUCTION
Software update
 
Biostatistics wishes to encourage rapid dissemination of novel statistical methods motivated by substantive problems in the health or biomedical sciences, and innovative applications of statistics in these areas. Novel methods are more likely to be adopted by practitioners if software for their implementation is freely available. Innovative applications are more likely to stimulate the interest of others if the data can be made available for wider use.

We already encourage authors to deposit software and/or data sets as supplementary information when their papers are accepted for publication. However, we have not until now had any means of disseminating software which is developed only after publication, or data sets which can only be released after publication.

To remedy this, from the current issue we are adding to the journal a regular feature "Software and Data News," which we encourage authors of published Biostatistics papers to use to announce the availability of software or data related to their papers in the journal. Each item for this feature should include a short descriptive paragraph, a reference to the Biostatistics paper to which the announcement is relevant, and a web address from which the software or data can be downloaded free of charge. Authors should include with their submission a signed letter stating the basis on which they have the authority to make the software available in this way. In addition, the software should be licensed and distributed in such a manner that readers are free to examine the source code of the relevant programs.


   SOFTWARE UPDATE
TOP
 INTRODUCTION
 Software update
 
HOTHORN, T., BÜHLMANN, P., DUDOIT, S., MOLINARO, A. AND VAN DER LAAN, M. J. (2006). Survival ensembles. Biostatistics 7, 355–373.

The R-packages mboost and party implementing the methodology developed in this paper are now available on from the Web page:

http://CRAN.R-project.org/

The examples studied in the paper can be reproduced from a package vignette using the following R commands:

R> library("mboost")

R> vignette("SurvivalEnsembles", package = "mboost")


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This Article
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
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Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?