Leave Your Bad Code Behind: 50 Ways to Make Your SAS® Code Execute More Efficiently.
Source category: Beyond the Basics
Publisher paper file Leave_Your_ returned HTTP 404 on 17 October 2026.
Author collections: Christopher W. Schacherer
THE COMMUNITY ARCHIVE
SAS Conference Papers 2010Page 9
Indexed 2010 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
664 papers · Showing 321–360
Lessons Learned from a BI Installation
Source category: Business Intelligence/Analytics
Author collections: Faron Kincheloe
Let me "Google" that for you - Google Labs Code Search
Source category: Coders Corner
Author collections: James Bidwell
Let SAS® Do the Work: Correlation Crossroads
Source category: Statistics and Data Analysis
Listening to the Twitter Conversation
Source category: SAS Presents... Solutions
Author collections: Russell Albright · Richard Foley
Listening to the Voice of the Customer when Deploying Your Application: Using SAS© and Design Methodologies to Create a Pleasing User Installation Experience
Source category: Applications Development
Author collections: Joe Perry
LOCF-Different Approaches, Same Results Using LAG Function, RETAIN Statement, and ARRAY Facility
Source category: Coders’ Corner
Author collections: Iuliana Barbalau
Logit-based Neutral Zone Classification Algorithm with Application to Microbial Community Profiling
Source category: Posters
Author collections: Daniel R. Jeske
Longitudinal Data Techniques: Looking Across Observations
Source category: Tutorials
Author collections: Ron Cody
Look Before You Leap ® A Technique to Simulate a Look-Ahead Function
Source category: Coders' Corner
Look What's New in SAS/ACCESS®: New Engines and SQL Optimization
Source category: SAS Presents
Author collections: Howard Plemmons
Lowering the Cost and Risk of SAS® Solution Integration with SAP: SAS® Solution Adapters
Source category: SAS Presents... Solutions
Macro Quoting
Source category: Beyond the Basics
Author collections: Toby Dunn
Macros for Managing Messy Data: Handling Duplicate Study Participants, and Making Fuzzy Matches Across Multiple Data Sets
Source category: Coders’ Corner
Author collections: Jefferson L. Wood · Dennis G. Fisher
Macros Made Easy (and More Efficient) with SAS® Enterprise Guide® 4.2 Prompts
Source category: Beyond the Basics
Make Your SAS® Code Environmentally Aware
Source category: Coders' Corner
Author collections: Clarke Thacher
Managing Clinical Data Standards: An Introduction to SAS® Clinical Data Integration
Source category: Pharma
Author collections: Michael Kilhullen
Managing Data Quality in Many Sectors: Healthcare, Tax, School, Environment
Source category: Data Integration
Author collections: Paola Leproni
Managing Systems Projects with ClinAction
Source category: Posters
Author collections: Marc Desgrousilliers
Mashups Can Be Gravy: Techniques for Bringing the Web to SAS®
Source category: Applications Development
Author collections: Jack E. Fuller
Mathematical Programming for Surface Complexation Modeling Using SAS®
Source category: Posters
Author collections: Anpalaki J. Ragavan
MDO Customer Experiences
Source category: Retail
Measuring Nursing Home Quality: The Five-Star Rating System
Source category: Healthcare Providers & Insurers
Author collections: Christianna Williams · Louise S Hadden
Merchandise Reclassification Round Table
Source category: Retail
Author collections: Alan Wolf
Merging Historical Data Automatically While Dynamically Sorting the Variables
Source category: Foundations and Fundamentals
Migrating a SAS Programming Environment to a Virtual Linux Server
Source category: Technical Solutions
Author collections: Dirk Spruck · Judith Kanz
Migration from SAS® 9.1.3 to SAS® 9.2: Practicalities of the Automated Tools
Source category: SAS Presents
Author collections: Diane Hatcher
Mix-and-Match: Mixed Models for Analyzing Binary Outcomes with Matched Samples
Source category: Health Outcomes and Healthcare Research Methodologies
Author collections: Sarah A. Short · David J. Pasta
Mobile Macros – Get Up to Speed Somewhere New Fast
Source category: Beyond the Basics
Author collections: Patricia Hettinger
Modeling and Simulation: challenges for the clinical programmer and for the group leader
Source category: Management
Author collections: Vincent Buchheit
Modeling Systems and Resources with SAS® Simulation Studio
Source category: SAS Presents...Operations Research
Author collections: Ed Hughes · Phil Meanor
Modeling the Severity of Random Events with the SAS/ETS® SEVERITY Procedure
Source category: SAS Presents
More than Models: The Data Mining Team
Source category: Data Mining and Predictive Modeling
Author collections: Stephanie R. Thompson
More Ways to Use SAS® to Manage, Monitor, and Control SAS® and the SAS® BI Server: Tools for the SAS User, Server Administrator, or Manager
Source category: Systems Architecture
Author collections: LeRoy Bessler
Moving from Windows to Super-computing: The 5% Solution
Source category: Coders’ Corner
Author collections: AnnMaria De Mars
Netezza Insight
Source category: BI Forum/Business Intelligence
New CDISC migration strategies and tools: determining the best approach and employing automated data mapping
Source category: CDISC and Industry Standards
New Dogs and Old Tricks Part II: Using the SELECT statement and FLAGS to Streamline your Code
Source category: Coders’ Corner
Author collections: Stanley E. Fogleman
New Dogs and Old Tricks, Part II: Using the SELECT Statement and FLAGS to Streamline Your Code
Source category: Coders' Corner
Author collections: Stanley Fogleman
New Goodies in SAS® Enterprise Guide® 4.3
Source category: Foundations and Fundamentals
Author collections: Chris Hemedinger