CSDA: Special Issue on Computational Statistics for Clinical Research

To CSDA tha bgalei ena special issue gia efarmoges computational statistics me efarmoges stin biostatistiki. Perissoteres plirofories apo kato:

*Guest Editors:*
Martina Mittlboeck, Lutz Edler, Michael LeBlanc, Joyce Niland
and Koos Zwinderman

We are inviting submissions for the 2nd special issue of Computational
Statistics and Data Analysis. It addresses statistical methods and
computational data analysis approaches in the design and/or analysis
of clinical studies. The topics covered are pharmaceutical clinical
trials for the detection and characterization of better treatments,
explorative clinical studies for diagnosis, and understanding the
pathogenesis of diseases, their treatment, the determination of
prognostic and predictive factors, and the impact of genetic
information on the design and evaluation of clinical outcomes.

Anticipating for the future an increasing use of large data sets by
clinical researchers, both in terms of sample size and in terms of the
number of patients' characteristics measured, new appropriate and
efficient computational methods and data analysis approaches are
urgently needed. Whereas extraordinary efforts
and large investments were devoted to increase the quality of clinical
data, much less has been invested in the development and dissemination
of best computational statistics methods fit for clinical research
purposes.


*The special issue will include*

* design and data analysis for Phase I,II, III trials
* pharmacokinetics and dose finding studies
* exploratory analysis and prognostic factors
* studies on genetic factors in clinical trials
* longitudinal data analyses and safety evaluation
* pharmacogenetic and pharmocogenomic data
* predictive factors and medical decision making
* treatment outcome prediction with genomic/proteomic data
* incorporating genetic data into clinical trial design of targeted agents
* diagnostic studies and biomarker evaluation
* treatment allocation and adaptive designs
* meta analyses and interpreting clinical trial results
* Bayesian methods
* medical informatics and bioinformatics
* graphical data to explore multivariate associations
* competing risks and multistate models


For this special issue we are now soliciting papers that address
statistical and computational aspects of the design or analysis of
clinical studies. Theoretical papers or papers with simulation as the
main contribution are not suitable for the special issue. However
overviews are welcome if they provide new and original work able to
promote research.

In addition, the journal offers authors the possibility to enhance
their articles by including data sets along with the online
article. These files will appear embedded in the article on
ScienceDirect at www.sciencedirect.com/science/journal/01679473. The
files will be freely available at this site. Copyright of the files
will remain with the authors and their use will require the citation
of the related article (journal, author, title and date of the
publication). No liability is assumed by the contributors, the
publisher, or the IASC.

Submission must contain original unpublished work and both, a
computational and a medical or clinical component, preferably combined
with a substantive application. This can include comprehensive review
papers that are not being submitted for publication elsewhere. The
deadline for submissions is 30th June 2010. Authors who are uncertain
about the suitability of their papers should contact one of the special
issue editors. All submissions must contain original unpublished work
not being considered for publication elsewhere.

Papers should be submitted using the Elsevier Electronic Submission
tool EES: http://ees.elsevier.com/csda. In the EES please chose the
special issue on "Computational Statistics for Clinical Research".
Submissions will be refereed according to standard procedures for
Computational Statistics and Data Analysis (CSDA). Information about
the journal can be found at http://www.elsevier.com/locate/csda. The
CSDA is indexed in Science Citation Index (Web of Science).

*The DEADLINE for submissions is 30 June 2010.*

Δε χρειάζεται να τονίσω ότι με ενδιαφέρει απόλυτα το θέμα.. Επανέρχομαι με σχόλιο στο τέλος της βδομάδας(να τόχω μελετήσει και λίγο), μιας και τώρα γίνεται το σώσε στη σχολή!

Αυτό που ερχεται ειναι το δευτερο special issue. Το πρώτο δημοισιευτηκε στον ιανουάριο του 2009, δεστε το εδώ

http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V8V-4TKPV83-3&_user=109810&_coverDate=01%2F15%2F2009&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_searchStrId=1205342354&_rerunOrigin=google&_acct=C000059632&_version=1&_urlVersion=0&_userid=109810&md5=85c04590fb949debcc2ea09d9448c4c3

(χρειάζεται να εχετε IP πό κάποιο ελληνικό πανεπιστήμιο ώστε να συνδεθείτε).

Βέβαιας υπάρχουν πιο εξειδικευμένα περιοδικά που ασχολουνται με παρόμοια θέματα αποκλειστικά...