THE COMMUNITY ARCHIVE

Statistical Programming Papers and PresentationsPage 12

Discover techniques for writing, checking and maintaining analysis programs. This collection focuses on SAS programming practices, quality control and automation, with links to dedicated macro and SQL collections.

322 papers · Showing 221–240

WUSS · 2012Paper 166WUSS 2012

SAS Programming Basics: Getting Your Data In and Understanding the Data Step

Helen D. Carey, Carey Consulting

Source category: SAS Essentials Workshop

WUSS · 2012Paper 168WUSS 2012

SAS Programming Basics: Producing Results from Your Data

Helen D. Carey, Carey Consulting

Source category: SAS Essentials Workshop

SESUG · 2012Paper PO-09SESUG 2012

SAS Programming tips and techniques for Data Mapping

Sheetal Nisal, Sterling Healthstat, Inc.

Source category: Posters

File inside source ZIP: PO-09.pdf

SAS Global Forum · 2012Paper 223-2012SAS Global Forum 2012

Straight from Memory: ADDR, PEEK, POKE as SAS Programming Tools

Dorfman, Paul M.; Viergever, William W.

Source category: Programming: Beyond the Basics

SAS Global Forum · 2012Paper 089-2012SAS Global Forum 2012

Utilize Dummy Datasets in Clinical Statistical Programming

Shu, Amos

Source category: Coders' Corner

SAS Global Forum · 2011Paper 221-2011SAS Global Forum 2011

Giving High School Students the Power to Know: SAS Programming and 21st Century Skills

Sharon T. Jones

Source category: Posters

WUSS · 2011WUSS 2011

Hunting for Columbus Eggs in the SAS Programming World: A Guidance to Creative Thinking for SAS Programmers

Alice M. Cheng

Source category: Coders’ Corner

Author collections: Alice M. Cheng

WUSS · 2011WUSS 2011

Introduction to SAS Programming

Lily Xu

Source category: SAS Essentials

PharmaSUG · 2011Paper MA01PharmaSUG 2011

Lessons Learned From Managing a New Statistical Programming Group

Yong Zhao

Source category: Management

SAS Global Forum · 2011Paper 240-2011SAS Global Forum 2011

SAS® Options: Versatile Players in the Game of SAS

Denise M. Poll

Source category: Programming: Beyond the Basics

PharmaSUG · 2011Paper IB05PharmaSUG 2011

Similarities and Differences in SAS Programming Among CRO and Pharmaceutical Industries

Sandra Minjoe; Mark Matthews

Source category: Industry Basics

Author collections: Sandra Minjoe · Mark Matthews

PHUSE · 2011Paper MA02PHUSE EU Connect 2011

State of the union: what does the future hold for statistical programming in Europe

Leo Valmas

Source category: Management

SAS Global Forum · 2011Paper 058-2011SAS Global Forum 2011

Ten Ways to Improve the Efficiency of Clinical Statistical Programming

Amos Shu

Source category: Coders' Corner

Author collections: Amos Shu

PHUSE · 2010Paper TS08PHUSE EU Connect 2010

Development and implementation of a statistical programming environment in a biotechnology company

Albert Chau; David Shannon

Source category: Technical Solutions

Author collections: David Shannon

SAS Global Forum · 2010Paper 097-2010SAS Global Forum 2010

Efficient Statistical Programming? Reducing SAS® Run Time with WHERE Setup

Keiko I. Powers

Source category: Coders' Corner

Author collections: Keiko I. Powers

PHUSE · 2010Paper DH03PHUSE EU Connect 2010

How to improve quality control in a data conversion process? By extended usage of metadata!

Dimitri Kutsenko

Source category: Data Handling

Author collections: Dimitri Kutsenko

PHUSE · 2010Paper TS01PHUSE EU Connect 2010

Migrating a SAS Programming Environment to a Virtual Linux Server

Dirk Spruck; Judith Kanz

Source category: Technical Solutions

Author collections: Dirk Spruck · Judith Kanz

SAS Global Forum · 2010Paper 147-2010SAS Global Forum 2010

SAS® System Options: The True Heroes of Macro Debugging

Kevin Russell; Russ Tyndall

Source category: Foundations and Fundamentals

Author collections: Kevin Russell · Russ Tyndall

PHUSE · 2010Paper PD03PHUSE EU Connect 2010

The Anaylst Mindset in Statistical Programming

Ryan Copping; Ross Farrugia Roche

Source category: Professional Development and Training

Author collections: Ryan Copping

SAS Global Forum · 2010Paper 080-2010SAS Global Forum 2010

Using Data Set Labels and Format Descriptions to Simplify Application Debugging

Robert L. Russell

Source category: Coders' Corner