MONDAY MORNING
Mezzanine
8:00
8:30
9:00
GoodsHoundWeb Apps w.
IntrNet, JavaScript
Sanders
AD03 / 20 / xx
Refactoring Design Patterns into SAS
App
Tabladillo
AD10 / 67 /xx
Handhelds for Data Entry: Java & XML
Chapal
AD01 / 3 / xx
Integrating SAS Analytics w.Desktop
Apps
Tarantino
AD09 / 61 / xx
Using SAS with a
SQL Server
Database
Thissen
DM10 / 136 / xx
Database Conversion: Programs?
Bentley
DM01 / 111 / xx
Multiple FSEDIT Data Entry with
SAS/AF
Developing a Control Methodology f
Tabladillo
DM09 / 130 / xx
Enhancements to SAS/GRAPH in V9
Devarajan
GR04 / 174 / xx
No Downloading - ODS for Graphs ...
OS/390
Wingfield
GR05 / 183 / xx
Applications
Ballrooms D&E
Data
Management
Verelst
Graphics/
InfoVis
Savannah
Hands On
Sloane
Statistics
Vernon
Tutorials 1
Chatham
Tutorials 2
Percival
Vertical
Solutions
Ballroom F
10:00
Mixon
Geog.Targeting
for Healthcare
Qual.Impr $
Okerson
GR03 / 166 / xx
Using JMP to
Develop a Model
Speci
Fuchs
GR02 / 161 / xx
SQL Basics
HW01 / xx / xx
HW02 / xx / xx
DATA Step Essentials
The Magnificent DO
Howard
Analysis of Dosage-Response
Data, Agr.
Bondari
ST01 / 287 / xx
Dorfman
TU05 / 419 / xx
Strategic Perf. Mngt® Balanced
Scorecards
Cochran
VS01 / 565 / xx
11:00
Beginning Macros
Lag-o-Matic:Lag
Struct.Mult.Predi
ct Vars
Sharp
ST13 / 355 / xx
Multiple Uses for
a Simple SQL
Procedure
Larsen
TU23 / 549 / xx
10:30
11:30
DM06 / 119 / xx
Usage of SAS/ETS Software ... Time
Series
McAllaster
ST15 / 365 / xx
TU06 / 429 / xx
9:30
GREPLAY, ANNOTATE, Multi-Panel
Graphics
Morgan
GR01 / 149 / xx
New SAS Power and Sample Size Web
Apps
Watson
ST18 / 380 / xx
Compute Crude,
Strat. & MantelHaenszel
Brill
ST02 / 293 / xx
Variance Est. for
Census 2000
using IML
Davis
ST03 / 299 / xx
Putting it Together: Data Joining
Primer
Stuelpner
TU11 / 458 / xx
The Ugliest Data I’ve Ever Met
Morgan
TU07 / 439 / xx
SQL: Logic, Structure, and Syntax
Hermansen
TU24 / 553 / xx
Problem Solving Techniques with
SQL
Lafler
TU22 / 543 / xx
MERGING: Comparing the Data Step w
SQL
Foley
TU21 / 533 / xx
Performance Mgmt: Communicating
Results
Joyner
VS02 / 570 / xx
The Smart Courier® for Healthcare
Brown
VS03 / 571 / xx
Strategic Procurement: SAS for SRM
Lehman
VS04 / 575 / xx
LEGEND: Short Title First Author Paper Number / Page Number in Proceedings / Page Number in Program
MONDAY AFTERNOON
Mezzanine
1:30
Applications
Ballrooms D&E
Coders Corner
Ballroom F
Data
Management
2:00
2:30
3:00
Meta Data + HTML = Automated
Status Rpts
DeMuth
AD06 / 39 / xx
From Spreadsheets to Web
Tucker
AD12 / 83 / xx
Programming Devel. Environment
for SAS
Williams
AD02 / 10 / xx
[1:30] Adjusting Dates in a New
Century
Foley
CC05 / 96 / xx
[1:50] Simplifying SAS® Security
Morgan
CC06 / 98 / xx
[2:10] Many Files, Little Time to
Type Names
Kelley
CC01 / 89 / xx
[2:30] Variable Cross-Referencing
Macros
DiIorio
CC04 / 93 / xx
[2:50] Completion Codes for Programmers
Markovitz
CC07 / 100 / xx
[3:10] Logicals: Storage to Bridge
Sessions
Schlegelmilch
CC08 / 103 / xx
[3:30] Proc SQL and Data
Cleaning
Mrs. Clean Tackles Dirty Data
Stuelpner
DM08 / 127 / xx
Data Quality - Fuel For Business
Agresta
DM15 / 142 / xx
Data Verification and Consol of
Files
Pierce
DM07 / 123 / xx
Structure
Approach
Using MACRO
Blackburn
DM02 / 112 / xx
Control Multistream Binomial
Processes
Wlydyka
ST16 / 375 / xx
FDR_TEST:
Error Control in
Mult.Hypoth.
Kromrey
ST05 / 312 / xx
Goodness of
Fit for Linear
Mixed Models
Orelien
ST12 / 350 / xx
Programming Standards, Base
SAS, Macros
Sekar
TP01 / 383 / xx
Writing for Reuse...SAS-L's
Macro Maven
Fehd
TP05 / 392 / xx
High Energy-SAS Community in
Large Corp.
Alessio
TP06 / 397 / xx
Proc Means and Summary:
Beginners Guide
McQuown
TU19 / 513 / xx
PROC FORMAT in ACTION
Shoemaker
TU17 / 501 / xx
Sharing Tips & Tricks w. Others,
Web
Gober
TU04 / 413 / xx
Web App.Arch: Choosing the right
tools
Brinsfield
TU03 / 412 / xx
Verelst
Hands On
Workshops
Advanced Macros
ODS
HW04 / xx / xx
HW05 / xx / xx
3:30
4:00
4:30
5:00
The Value of SAS in Manufacturing
Brinsfield
AD04 / 25 / xx
David
CC10 / 106 / xx
[3:50] JMP Activity and
Discussion
Shipp
CC11 / 107 / xx
[4:10] Data Set Reduction for
Analysis
d'Almada
CC09 / 105 / xx
Sloane
Statistics
Vernon
Training/
Prof. Dev.
Savannah
Tutorials 1
Chatham
Tutorials 2
Percival
Probabilistic
Population Est.
(PPE)
Haynes
ST04 / 305 / xx
Missing Data w.
Mult Imputation: PROC
MIXED
Yarandi
ST14 / 360 / xx
Consultants:
Sheep in Wolf's
Clothing
McQuown
TP04 / 385 / xx
Compare
Correlated
Proportions,
PROC GLM
Litaker
ST06 / 318 / xx
Take a Job or Consult: Greener
Grass
Toppe
TP02 / 384 / xx
Program Comprehension: A
Strategy
DiIorio
TU10 / 457 / xx
Output Delivery System Tips
Lafler
TU02 / 405 / xx
LEGEND: Short Title First Author Paper Number / Page Number in Proceedings / Page Number in Program
TUESDAY MORNING
Mezzanine
8:00
Applications
Ballrooms D&E
8:30
9:00
SAS Enabling MS Office,
Cross-Platform
DelGobbo
AD11 / 75/ xx
Data
Management
9:30
10:00
10:30
11:00
11:30
Web Devel: Best Practices,
Enterp.Apps
Barnes Nelson
AD08 / 53 / xx
Hi-speed Automated Reporting
Queue-SHARQ
Puhlman
AD05 / 29 / xx
Sample Delivery System,MultiSite...Unix
Cano
AD07 / 46 / xx
Streamline Data
Extract.w.Code Repository
Fagan
DM04 / 118 / xx
Sprinting with SAS/Access
Plemmons
DM14 / 141 / xx
Panel Discussion: Data
Management
DM16 / xx / xx
Verelst
Running SAS on the Web
HW03 / xx / xx
Hands On
Workshops
Version 9 Changes and Enhancements
HW06 / xx / xx
Sloane
Auto.Summar
ies of Risk
Assessment...ODS
Long
ST07 / 322 / xx
Statistics
Vernon
Tutorials 1
Chatham
Tutorials 2
Percival
Macros...Limited by
Imagination, Part II
Parker
TU15 / 485 / xx
Here's the Data..the Report I
Want-How?
Buck
TU18 / 507 / xx
Projecting
w.Time-Series
& PROC
FACTOR
March
ST08 / 328 / xx
Add
Functions to
Occup.Mortali
ty Anal.
Matthews
ST09 / 333 / xx
IML Nonlinear
Prog...Weighti
ng Scheme
Moore, Jr.
ST10 / 338 / xx
Estimate Variance by
Jackknife
Method
Mule
ST11 / 344 / xx
Don't Be a Slave to Your SAS®
Programs
Fecht
TU09 / 455 / xx
Customized Reports - Have It
Your Way
Cassidy
TU08 / 445 / xx
The SAS Debugging Primer
DiIorio
TU12 / 467 / xx
SAS Macro Design Issues
Whitlock
TU16 / 492 / xx
The Power of PROC
DATASETS
Macros: Tips, Techniques, and
Examples
Traldi
TU14 / 477 / xx
Davis
TU20 / 523 / xx
LEGEND: Short Title First Author Paper Number / Page Number in Proceedings / Page Number in Program