NEXT HASUG
MEETING
ANNOUNCEMENT
Our next
meeting is on:
Thursday, November 20, 2014
At
Yale
IFE Auditorium (Ground Floor) – Suite 157
300 George
Street
New Haven, CT 06511
Hosted by Yale Program on Aging
from 9:00 am to noon
The
HASUG website is currently unavailable for updating. Therefore,
Refreshments
to be served, & time for conversation, beginning at 8:30.
Our topics and Speakers
are:
Data Mining with SAS Enterprise
Miner
Robert
Class, Cigna
1) Overview (What is EM and
Where does it fit)
2) The SEMMA Methodology
3) An Example of building a
model
a) Getting in the data
b) Sampling
c) Exploring
d) Manipulation (creating
variables, transformations)
e) Modeling (creating
multiple models)
f) Analyzing the model
(including comparing different models)
g) Scoring Code (exporting
the model)
4) Review of flow in the
Diagram
5) Other features & Questions
Bob Claus
is a hands-on
Business Analytic Professional with extensive experience partnering with all
levels of management to understand business direction, mine complex data,
deliver actionable information for decision making in the P&C Insurance,
Healthcare, Banking and Utilities Industries. He is known for technical depth and breadth
coupled with a unique ability to drive projects through to implementation
Bob introduced
Enterprise Miner into Fleet bank in 2000 to develop an automated Loan
Origination system, by creating Credit Risk Scoring Models. He is currently using EM to develop a series
of risk & other models to support health evaluation & improvement
programs and a Customer Life Time Value analysis. He has over 25 years of
experience using SAS products and now uses SAS, EG and EM in conjunction with
Teradata.
Coder’s Corner
How to do a Text Search across many EG Projects
Charles Partridge, PDPC, Ltd.
Chuck Patridge is
an IIA Data Manager since June 2008. His
expertise is using the SAS software since 1979 in a variety of business
environments such as HR, Technical Support, Claims, Actuarial, Reinsurance, Government,
Education, Transportation, Relocation Services , Marketing, Financial,
Pharmaceutical and Insurance (Life, Health and P&C) with most career
experience in the Property Casualty Insurance arena. He has presented a number of papers to
various SAS user groups including SAS
Global Forum and publishing a white paper on “Fuzzy Match/Merge“ in conjunction
with SAS Institute. Chuck also started
the first local SAS User Group – Hartford Area SAS User Group (
www.hasug.org) – HASUG in
1983 as well as created and maintains another SAS user website –
www.sconsig.com (SAS
Consultant Special Interest Group) since 1994.
How to do an iterative
data pull for a specified list from a very large database
Robyn Guimont, Optum
This
presentation will discuss code for an iterative data pull process that can be
used to extract data for a specified list of members (or whatever your
selection value is) from a very large database.
For those people who do not have the luxury of being able to set up a
temporary table to use to pull data directly from a database, this is an
alternative that can help to limit the amount of data to just what is needed.
Robyn Guimont is an Associate
Director of Business Analysis with Optum, which is part of UnitedHealth Group,
dealing mainly with claims, membership and provider analysis. She has
been coding in SAS for around 20 years, most of her skills learned from
OJT. Her motto is, 'A Good programmer codes, a Great programmer steals',
so that's why she is willing to share this code with the Great programmers of
HASUG!
PRELOADFMT comes to your rescue, it brings missing
categories to life in summary reports
Niraj
Pandya, Element Technologies Inc.
In clinical trials data analysis
and reporting, one always comes across producing categorical tables used for
analysis. Provided with lots of
different kind of data types such as labs, adverse events, physical
examination, concomitant therapies etc. and multiple categories for several
categorical variables, it becomes difficult sometimes to impute 0 values for
categories which are missing altogether for a particular variable. SAS provides
multiple options to handle such cases and produce output with all the
categories even if some don’t exist in the data. This paper concentrates on
different work around methods and will discuss details of implementing each
technique.
Niraj Pandya is a lead statistical/clinical programmer with BMS. Prior
to joining BMS, he worked with Pfizer for 5 years. He has authored many
technical papers on the use of SAS programming for clinical trials data analysis.
Data looping macro
example.
James C. Whanger
This presentation will show examples of code used to
prepare, clean, and analyze survey data.
Code makes use of PROC SQL and macros.
James C. Whanger
has an eclectic background which includes a previous career in medical sales,
graduate work in I/O Psychology where he first began learning SAS, applied
psychological research for SAIC in a military research lab where he primarily
used SPSS and most recently has worked in the Database Marketing Dept at Foxwoods
Resort Casino where he has, in part, worked on Customer Satisfaction Survey
data.
DIRECTIONS:
YALE
300 George
Street
Suite
157, IFE
Auditorium (Ground Floor)
New Haven
06511
Due to construction
parking can vary day by day. Please allow
time to find parking and get to the meeting.
There are a number of public parking lots close to 300 George Street.
Temple Medical Garage is closest and is connected to Temple Medical
Building. Enter garage on George Street just after College Street. The
rate is $4.00 an hour, maximum is $16.00.
Kirks public parking is on Crown Street, 1 block north (towards the
New Haven Green) of George Street,
between College and High Street, and right next To Louis Lunch. The rate is $7.00 per day.
Street parking can be a problem and depending on the
location costs 25¢ for 20 minutes.
THE HASUG Steering Committee
The HASUG.org website is updated with the most current FLASH, announcements and directions to next meeting.