dc.contributor.author
Arenas Solà, Concepción
dc.contributor.author
Mestres i Naval, Francesc
dc.date.issued
2015-10-20T14:20:49Z
dc.date.issued
2015-10-20T14:20:49Z
dc.date.issued
2015-07-24
dc.date.issued
2015-10-20T14:20:49Z
dc.identifier
https://hdl.handle.net/2445/67358
dc.description.abstract
In biomedicine, biodiversity and other fields of research, large databases are used. Assuming that a proper statistical procedure has been chosen, a crucial point is the selection of the right software to compute the data. The available software has to be sufficiently proven and having the guarantee that it is reliable. Currently, it is easy to obtain free software for most statistical procedures. We agree that a free software is especially useful because as a large number of researchers can take benefit of it. However, in several repositories, software has not been sufficiently proven, and could yield to erroneous results. This situation could lead to dreadful consequences, for instance, when studying cancer or complex genetic diseases. We propose that researchers should be especially accurate in their software selection, and also the control levels should be improved in order to upload new software in a public repository.
dc.format
application/pdf
dc.format
application/pdf
dc.publisher
Sociedad de Estadística e Investigación Operativa
dc.relation
Reproducció del document publicat a: http://www.seio.es/BBEIO/BEIOVol31Num2/index.html#108
dc.relation
Boletín de Estadística e Investigación Operativa, 2015, vol. 31, num. 2, p. 207-210
dc.rights
(c) Sociedad de Estadística e Investigación Operativa, 2015
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Genètica, Microbiologia i Estadística)
dc.subject
Mètodes estadístics
dc.subject
Statistical methods
dc.subject
Computer software
dc.title
Reliable software
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
