SAS Conference Papers 2011Page 5

Can you decipher the code? If you can, maybe you can break it.

Jay Iyengar

Source category: Coders' Corner

File inside source ZIP: CodersCorner.zip / CC21.Iyengar.pdf

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Author collections: Jay Iyengar

Can’t Decide Whether to Use a DATA Step or PROC SQL? You Can Have It Both Ways with the SQL Function!

Jeremy Poling

Source category: Beyond the Basics

Author collections: Jeremy Poling

Cash Flow Modeling for Fixed-Income Securities: A New Approach Using the SAS® Risk Management for Banking Solution

Sunny Zhang; Jeff Hasmann; Thomas Kimner

Source category: Banking, Financial Services and Insurance

Author collections: Sunny Zhang

Categorizing the Degradation State of Aircraft Generators using Rank Order Statistics and SAS® CLUSTER Procedure

Tsung-hsun Tsai

Source category: Government and Healthcare

File inside source ZIP: GovtHealth.zip / GH07.Tsai.pdf

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Author collections: Tsung-hsun Tsai

Causal Methods for Observational Data

Amanda Stevenson

Source category: Health Outcomes and Healthcare Research Methodologies

Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis

Matthew Davis; Sharon X. Xie

Source category: Statistics and Pharmacokinetics

CDISC ADaM Application: One-Record-Per-Subject Data That Doesn't Belong in ADSL

Sandra Minjoe

Source category: Potpourri

The publisher lists this presentation without a PDF.

Author collections: Sandra Minjoe

CDISC Variable Mapping and Control Terminology Implementation Made Easy

Balaji Ayyappan; Manohar Sure

Source category: CDISC

Author collections: Balaji Ayyappan

Challengers Facing the Programmer in Observational Research

Laurence Carpenter

Source category: Professional Development & Training

Author collections: Laurence Carpenter

Challenges in Implementing ADaM datasets: Balancing the Analysis-Ready and Traceability Concepts

Pushpa Saranadasa

Source category: CDISC

Author collections: Pushpa Saranadasa

Characterizing Successful Opportunities for Retail Analytics: How to Recognize Areas Best Suited for Quantitative Approaches and Succeed with the Right Approach

Anthony Volpe

Source category: Retail

Chernof face graphs as an efficient way of creating comprehensive Patient Profiles in SAS®

Adam Amborski

Source category: Tutorials

Author collections: Adam Amborski

Chernoff face graphs as an efficient way of creating comprehensive Patient Profiles in SAS®

Adam Amborski

Source category: Poster Presentations

Author collections: Adam Amborski

ChiD, A Chi-2 -Based Discretization Algorithm

Ross Bettinger

Source category: Posters

Author collections: Ross Bettinger

Choosing the Best Method to Create an Excel Report

Romain Miralles

Source category: Coders Corner

Author collections: Romain Miralles

Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS® DATA Step Processing or with Base SAS Procedures

Kathryn McLawhorn

Source category: Programming: Foundations and Fundamentals

Author collections: Kathryn McLawhorn

Choosing the Road Less Traveled: Performing Similar Tasks with either SAS® DATA Step Processing or with Base SAS® Procedures

Kathryn McLawhorn

Source category: SAS Presents

Author collections: Kathryn McLawhorn

Choosing the Road Less Traveled: Performing Similar Tasks with either SAS® DATA Step Processing or with Base SAS® Procedures

Kathryn McLawhorn

Source category: Foundations and Fundamentals

Author collections: Kathryn McLawhorn

CI_MEDIATE: A SAS® Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Mediation Analysis

Thanh V. Pham; Eun Kyeng Baek; Merlande Petit-Bois; Jeffrey D. Kromrey

Source category: Posters

File inside source ZIP: Posters.zip / PO06.Pham.pdf

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Author collections: Jeffrey D. Kromrey

Classification of frequent snoring from routine medical examinations using the NHANES Database

Barry W. Row

Source category: Health Science, Epidemiology, and Post-Market Research

Author collections: Barry W. Row

Clinical Data Integration for Observational Studies Using Electronic Health Records:Examples with Defining Pregnancy and Gestational Diabetes

Beinan Zhao; Eric C. Wong; Latha Palaniappan

Source category: Health Outcomes and Healthcare Research Methodologies

Author collections: Eric C. Wong

Clinical Data Review on iPad with DEFINE.XML

Sy J. Truong

Source category: Health Outcomes and Healthcare Research Methodologies

Author collections: Sy J Truong

Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner

Patricia B. Cerrito

Source category: Health Science, Epidemiology, and Post-Market Research

Author collections: Patricia B. Cerrito

ClinXPORT a software to streamline the analysis and reporting of clinical trials with SAS

Juline Vanwinsberghe; Francois Vandenhende

Source category: Software Demonstrations

Author collections: Francois Vandenhende

Collaboration versus conflict: building successful working relationships

Diana Stuart

Source category: Professional Development & Training

Author collections: Diana Stuart

Combining External PDF Files by Integrating SAS® and Adobe® Acrobat

Brandon Welch; Ryan Burns

Source category: Beyond the Basics

File inside source ZIP: BeyondBasics.zip / BB15.Welch.pdf

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Author collections: Brandon Welch · Ryan Burns

Combining PROC SQL Summary Functions with Logical Expressions

Glenn Wright

Source category: Health Outcomes and Healthcare Research Methodologies

Author collections: Glenn Wright

Combining RTF Graphs

Lucius Reinbolt

Source category: Coders Corner

Author collections: Lucius Reinbolt

COMMAND Your Session: SAS® Commands and Command-Style Macros

Nigel B. Neely

Source category: Coders' Corner

Compare the Effectiveness of Different Methodologies in Prediction of Dichotomous Outcome

Jimmy Fang

Source category: Statistics and Data Analysis

Comparing dataset metadata

Jim Groeneveld

Source category: Data Handling

Author collections: Jim Groeneveld

Comparison of Imputation Methods to Examine Mediator Effect for Social Support of Mothers of Mentally Ill Children

Abbas S. Tavakoli; Kathleen Scharer; James Hussey

Source category: Posters

Author collections: Abbas S. Tavakoli · James Hussey

Comparison of K-means, Normal Mixtures and Probabilistic-D Clustering for B2B Segmentation using Customers Perceptions

Satish Garla; Goutam Chakraborty; Gary Gaeth

Source category: Business Intelligence

Author collections: Satish Garla · Goutam Chakraborty

Comparison of Probabilistic-D and k-Means Clustering in Segment Profiles for B2B Markets

Dipanjan K. Dey; Satish Garla; Goutam Chakraborty

Source category: Management

Author collections: Satish Garla · Goutam Chakraborty

Computing Percentage Using PROC TABULATE – from Simple to More Complex

Wende (Ted) Tian; Hong (Lily) Zhang

Source category: Posters

Condensed and Sparse Indexes for Sorted SAS® Datasets

Mark Keintz

Source category: Beyond the Basics

File inside source ZIP: BeyondBasics.zip / BB16.Keintz.pdf

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Author collections: Mark Keintz

Conditional Classes and Pattern Recognition in SAS®

Scott Hanson

Source category: Data Mining and Text Analytics

Author collections: Scott Hanson

Conditional Processing Using the Case Expression in PROC SQL

Kirk Paul Lafler

Source category: Coders’ Corner

Author collections: Kirk Paul Lafler

Conditional Processing without Macros

John F. Ladds

Source category: Coders' Corner

Author collections: John F. Ladds

Conference 2.0, moving from attendance to collaboration

Benjamin Szilagyi

Source category: Management

Publisher slides file PRE_MA03.pdf returned HTTP 403 on 17 October 2026.

Author collections: Benjamin Szilagyi