SAS announcement in education initiatives

From the Research Triangle, some pleasant and positive news- http://triangle.bizjournals.com/triangle/stories/2010/10/04/daily27.html

“As a high tech company, SAS depends on a strong educational system for its long-term success,” said SAS CEO Jim Goodnight. “Beyond that, STEM education – developing skills for a knowledge economy – is critical to American competitiveness. Without emphasis on STEM, we sacrifice innovation and export our knowledge jobs to other countries.”

Goodnight and SAS have been active in education for years. The SAS co-founder and his wife, Ann Goodnight, launched college prep school Cary Academy in 1996, and the SAS inSchool program has developed educational software for schools since the mid-1990s. In 2008, Jim Goodnight made SAS Curriculum Pathways available free to all U.S. educators. The web-based service provides content in English, mathematics, social studies, science and Spanish.

SAS is the only Triangle-based company among the Change the Equation corporate partners, but the group includes several other companies with a significant Raleigh-Durham presence: chief among them IBM (NYSE: IBM), GlaxoSmithKline (NYSE: GSK), and Cisco Systems (Nasdaq: CSCO).

Read the full article at http://triangle.bizjournals.com/triangle/stories/2010/10/04/daily27.html

————————————————————————————————–

Read more: SAS joins IBM, GlaxoSmithKline, Cisco Systems in Obama education effort – Triangle Business Journal

 

Analytics and Journals

Some good journals for reading on analytics-

1) JSS

http://www.jstatsoft.org/

present research that demonstrates the joint evolution of computational and statistical methods and techniques.  Implementations can use languages such as C, C++, S, Fortran, Java, PHP, Python and Ruby or environments such as Mathematica, MATLAB, R, S-PLUS, SAS, Stata, and XLISP-STAT.

There are currently 370 articles, 23 code snippets, 86 book reviews, 4 software reviews, and 7 special volumes in archives

2) R Journal

http://journal.r-project.org/

The  Journal

3) Pharma Programming

http://maney.co.uk/index.php/journals/pha/

Pharmaceutical Programming is the official journal of the Pharmaceutical Users Software Exchange (PhUSE), a non-profit membership society with the objective of educating programmers and their managers working in the pharmaceutical industry. Available both in print and online, Pharmaceutical Programming is an international journal with focus on programming in the regulated environment of the pharmaceutical and life sciences industry.

4) SAS Papers – User Groups

http://www.lexjansen.com/

4569 SAS papers presented
at SGF/SUGI 1996-2010.
1343 SAS papers presented
at PharmaSUG 2000-2010.
1810 SAS papers presented
at NESUG 1997-2009.
1191 SAS papers presented
at SESUG 1999-2009.
463 SAS papers presented
at PhUSE 2005-2009.
787 SAS papers presented
at WUSS 2003-2009.
337 SAS papers presented
at MWSUG 2001, 2004-2009.
188 SAS papers presented
at PNWSUG 2004-2009.
246 SAS papers presented
at SCSUG 2003-2007, 2009.
221 SAS papers related to CDISC.
Easy access to the CDISC Forum.

5) http://analyticsmagazine.com/

Magazine by http://www.informs.org/

6) Data Mining Journals

Academic Journals

Journals relevant to Data Mining

Special Issue of JSS on R GUIs

An announcement by the Journal of Statistical Software- call for papers on R GUIs. Initial deadline is December 2010 with final versions published along 2011.

Announce

Special issue of the Journal of Statistical Software on

Graphical User Interfaces for R

Editors: Pedro Valero-Mora and Ruben Ledesma

Since it original paper from Gentleman and Ihaka was published, R has managed to gain an ever-increasing percentage of academic and professional statisticians but the spread of its use among novice and occasional users of statistics have not progressed at the same pace. Among the reasons for this relative lack of impact, the lack of a GUI or point and click interface is one of the causes most widely mentioned. But, however, in the last few years, this situation has been quietly changing and a number of projects have equipped R with a number of different GUIs, ranging from the very simple to the more advanced, and providing the casual user with what could be still a new source of trouble: choosing what is the GUI for him. We may have moved from the “too few” situation to the “too many” situation
This special issue of the JSS intends as one of its main goals to offer a general overview of the different GUIs currently available for R. Thus, we think that somebody trying to find its way among different alternatives may find useful it as starting point. However, we do not want to stop in a mere listing but we want to offer a bit of a more general discussion about what could be good GUIs  for R (and how to build them). Therefore, we want to see papers submitted that discuss the whole concept of GUI in R, what elements it should include (or not), how this could be achieved, and, why not, if it is actually needed at all. Finally, despite the high success of R, this does not mean other systems may not treasure important features that we would like to see in R. Indeed, descriptions of these nice features that we do not have in R but are in other systems could be another way of driving the future progress of GUIs for R.

In summary, we envision papers for this special issue on GUIs for R in the following categories:

– General discussions on GUIs for statistics, and for R.

– Implementing GUI toolboxes for R so others can program GUIs with them.

– R GUIs examples (with two subcategories, in the desktop or in the cloud).

– Is there life beyond R? What features have other systems that R does not have and why R needs them.

Papers can be sent directly to Pedro Valero-Mora (valerop@uv.es) or Ruben Ledesma (rdledesma@gmail.com) and they will follow the usual JSS reviewing procedure. Initial deadline is December 2010 with final versions published along 2011.

====================================================
Jan de Leeuw; Distinguished Professor and Chair, UCLA Department of Statistics;
Director: UCLA Center for Environmental Statistics (CES);
Editor: Journal of Multivariate Analysis, Journal of Statistical Software;

Journal of Statistical Software

Here is a good open content Journal for people wanting to keep track of latest in statistical software.

It is called Journal of Statistical Software.

Citation: http://www.jstatsoft.org/

Established in 1996, the Journal of Statistical Software publishes articles, book reviews, code snippets, and software reviews on the subject of statistical software and algorithms.  The contents are freely available on-line.  For both articles and code snippets the source code is published along with the paper.

Implementations can use languages such as C, C++, S, Fortran, Java, PHP, Python and Ruby or environments such as Mathematica, MATLAB, R, S-PLUS, SAS, Stata, and XLISP-STAT.

E.g Book Reviews of  A Handbook of Statistical Analyses Using SAS (Third Edition)

and Statistics and Data with R: An Applied Approach Through Examples

jss

It is really cutting edge stuff for someone who wants to keep up with the latest and fast moving tech trends in statistical software and has convenient RSS feeds as well announce alerts for emails.

Note- Various Journals can be ranked using a quantitative index called Impact Factor

Citation http://in-cites.com/research/2007/august_27_2007-2.html

E.G For Statistics

In these columns, total citations to a journal’s published papers are divided by the total number of papers that the journal published, producing a citations-per-paper impact score over a five-year period (middle column) and a 26-year period (right-hand column).

Journals Ranked by Impact:
Statistics & Probability

Rank

2006
Impact Factor

Impact
2002-06

Impact
1981-2006
1 Bioinformatics
(4.89)
Bioinformatics
(9.87)
Econometrica
(52.93)
2 Biostatistics
(3.01)
J. Royal Stat. Soc. B
(6.75)
J. Royal Stat. Soc. B
(27.32)
3 Chemom. Intell. Lab.
(2.45)
Biostatistics
(6.56)
J. Am. Stat. Assoc.
(25.11)
4 Econometrica
(2.40)
J. Computat. Biology
(6.49)
Biometrika
(22.75)
5 J. Royal Stat. Soc. B
(2.32)
Econometrica
(5.82)
Annals of Statistics
(21.31)
6 IEEE ACM T Comp. Bi.
(2.28)
J. Chemometrics
(5.08)
Biometrics
(20.32)
7 J. Am. Stat. Assoc.
(2.17)
J. Am. Stat. Assoc.
(4.95)
Technometrics
(17.74)
8 Multivar. Behav. Res.
(2.10)
Statistical Science
(4.19)
Multivar. Behav. Res.
(16.62)
9 J. Computat. Biology
(2.00)
Annals of Statistics
(3.94)
Bioinformatics
(16.37)
10 Annals of Statistics
(1.90)
Stat. in Medicine
(3.62)
J. Royal Stat. Soc. A
(14.46)