| PharmaSUG 2011 Conference Proceedings |
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Download the entire 2011 conference proceedings as a ZIP file (41MB) or choose a section to browse individual paper PDFs:
Applications DevelopmentAD01. Automated or Manual Validation: Which One is for You?Richann Watson, i3 Statprobe, Batavia, OH Patty Johnson, i3 Statprobe, San Diego, CA AD02. Tracking Metadata within SAS Drug Development Using SDDPARMS Bradford J. Danner, i3 Statprobe, Lincoln, NE Matthew J. Wiedel, Celerion, Lincoln, NE Katrina E. Canonizado, Celerion, Lincoln, NE AD03. Using Visual Basic for Application to Produce Table of Contents from SAS Output List Files Zemin Zeng, Forest Research Institute, Inc., Jersey City, NJ Mei Li, ImClone Systems, Branchburg, NJ Meng Pan, ImClone Systems, Branchburg, NJ AD05. Project Automation and Tracking Using SAS Rajesh Lal, COMSYS, Portage, MI AD06. Better Ways to Speak to Your System Using SAS: Automate Routine Tasks by using X, SYSTASK & FILENAME Ranganath Bandi, CliniRX Research (USA), Chicago, USA Harini Kunduru, Bristol Myers Squibb Company, Pennington, USA AD08. An Excel Framework to Convert Clinical Data to CDISC SDTM Leveraging SAS Technology Sophie McCallum, Clinovo, Sunnyvale CA Stephen Chan, Clinovo, Sunnyvale, CA AD09. The Path, The Whole Path, And Nothing But the Path, So Help Me Windows Arthur L. Carpenter, California Occidental Consultants, Anchorage, AK AD10. Automating the Installation and Operational Qualifications of Your SAS Applications with the SAS System Joe Perry, Perry & Associates Consulting, Oceanside, CA AD11. Let the system do the work! Automate your SAS code execution on UNIX and Windows platforms Niraj J. Pandya, Element Technologies Inc., NJ Vinodh Paida, Impressive Systems Inc., TX AD12. A SAS Macro Tool for Selecting Differentially Expressed Genes from Microarray Data Huanying Qin, Baylor Institute of Immunology Research, Dallas, TX Laia Alsina, Baylor Institute of Immunology Research, Dallas, TX Hui Xu, Baylor Institute of Immunology Research, Dallas, TX Elisa L. Priest, Institute for Health Care Research and Improvement, Baylor Health Care System, Dallas, TX AD13. Beyond Double Programming - SAS® Programming By Design (PBD) with Soop Laiju Zhang, MDCI, MA, USA AD14. Creating a define.xml file for ADaM and SDTM *** BEST PAPER *** John H. Adams, Boehringer Ingelheim Pharmaceutical, Inc., Ridgefield, CT AD15. SAS Users Can Command Microsoft Excel to Automatically Create Graphs From SAS ExcelXP Output William E Benjamin Jr, Owl Computer Consultancy, LLC, Phoenix, AZ AD16. Creating reference amplicons and genotyping using the SAS System *** BEST PAPER *** Kevin Viel, Saint Joseph’s Translational Research Institute, Atlanta, GA AD17. Protecting Macros and Macro Variables: It Is All About Control Eric Sun, sanofi-aventis U.S. Inc., Bridgewater, NJ Arthur L. Carpenter, CALOXY, Anchorage, AK AD18. Listening to the Voice of the Customer when Deploying Your Application: Using SAS and Design Methodologies to Create a Pleasing User Installation Experience Joe Perry, Perry & Associates Consulting, Oceanside, CA AD19. Symbol Table Generator (New and Improved) Jim Johnson, JKL Consulting, North Wales, PA AD20. Exploring DATA Step Merges and PROC SQL Joins Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, California AD21. Importing Excel ‘Data’ Into SAS Datasets Without Involving SAS Stephen Hunt, ICON Clinical Research, Redwood City, CA CDISCCD01. A Cost-Effective SDTM Conversion for NDA Electronic SubmissionXiangchen (Bob) Cui, Vertex Pharmaceuticals, Cambridge, MA Scott Moseley, Vertex Pharmaceuticals, Cambridge, MA Min Chen, Vertex Pharmaceuticals, Cambridge, MA CD02. Automating the Process of Preparing Data Definition Document for NDA Electronic Submission from Programming Specification in Word Format Min Chen, Vertex Pharmaceuticals, Cambridge, MA Xiangchen (Bob) Cui, Vertex Pharmaceuticals, Cambridge, MA Scott Moseley, Vertex Pharmaceuticals, Cambridge, MA CD04. Evolution of SDTMIG 3.1.1 to 3.1.2: A mapping specialist must reference on these changes Rachit Desai, eClinical Solutions, New London, CT Anirudh Gautam, MaxisIT, Metuchen, NJ Vikash Jain, eClinical Solutions, New London, CT CD05. Methods of Building Traceability for ADaM Data Songhui Zhu, K & L Consultant Services, Fort Washington, PA Lin Yan, Celgene Corp, Basking Ridge, NJ CD06. Validating Controlled Terminology in SDTM Domains John R. Gerlach, SAS / CDISC Analyst; Hamilton, NJ CD07. Resolving OpenCDISC Error Messages Using SAS® Virginia Redner, Merck & Company, Inc., Upper Gwynedd, PA John R. Gerlach, SAS / CDISC Analyst; Hamilton, NJ CD08. A Special SDTM Domain RELREC and its Application Changhong Shi, Merck Sharpe & Dohme Corp., Rahway, NJ Beilei Xu, Merck Sharpe & Dohme Corp., Rahway, NJ CD09. Basic Understanding on SE Domain for Beginners Gayatri Karkera, i3 Statprobe (Ingenix Pharmaceutical Services), Mumbai, India CD10. Efficiencies Realized in Building and Utilizing ADaM from SDTM Shirish Nalavade, eClinical Solutions, a Division of Eliassen Group, Mansfield, MA Parag Shiralkar, eClinical Solutions, a Division of Eliassen Group, New London, CT CD11. CDISC Variable Mapping and Control Terminology Implementation Made Easy Balaji Ayyappan, Ockham Group, Cary, NC Manohar Sure, Ockham Group, Cary, NC CD12. ADaM Standard Naming Conventions are Good to Have Christine Teng, Merck Sharp & Dohme Corp, Rahway, NJ CD13. Trials and Tribulations of SDTM Trial Design *** BEST PAPER *** Fred Wood, Octagon Research Solutions, Wayne, PA Mary Lenzen, Octagon Research Solutions, Wayne, PA CD14. The Standard for the Exchange of Nonclinical Data (SEND): History and Basics Fred Wood, Octagon Research Solutions, Wayne, PA Lou Ann Kramer, Eli Lilly and Company, Indianapolis, IN CD15. Validating define.xml: Tools, trials, and tribulations Sandra VanPelt Nguyen, i3 Statprobe CD17. Making a List, Checking it Twice (Part 1): Techniques for Specifying and Validating Analysis Datasets Elizabeth Li, PharmaStat LLC, Newark, California Linda Collins, PharmaStat LLC, Newark, California CD18. A Regular Language: The Annotated Case Report Form *** BEST PAPER *** Ryan Wilkins, PPD, Inc., Wilmington, NC Joel Campbell, PPD, Inc., Wilmington, NC CD19. Challenges in Implementing ADaM datasets: Balancing the Analysis-Ready and Traceability Concepts Pushpa Saranadasa, Merck & Co., Inc. CD20. Find / Track / Check and Close, Using SAS to Streamline SDTM Validation Including the Hyperlinks David Tillery, Smith Hanley Consulting, Lake Mary, Florida USA Qiang Zhai, Purdue Pharma L.P., Stamford, Connecticut USA Lily Peng, Purdue Pharma L.P., Stamford, Connecticut USA CD21. Ensuring Consistent Data Mapping Across SDTM-based Studies – a Data Warehouse Approach Annie Guo, ICON Clinical Research, North Wales, PA CD22. Truncation, Variable Association, Controlled Terminology, and Some Other Pitfalls in the SDTM Mapping Process Na Li, XenoPort, Inc., Santa Clara, CA Gary de Jesus, Infovision, Inc., Richardson, TX Daniel Bonzo, XenoPort, Inc., Santa Clara, CA CD23. Good Versus Better SDTM -- Date and Time Variables Mario Widel, Roche Molecular Systems, Inc., Pleasanton, CA Henry B. Winsor, WinsorWorks, Limited, San Mateo, CA Coders CornerCC01. Producing Clinical Laboratory Shift Tables From ADaM DataRao Bingi, Octagon Research Solutions, Wayne, PA CC03. A Non-Invasive Macro to Track Submission Metadata in SAS Drug Development Katrina E. Canonizado, Celerion, Lincoln, NE Bradford J. Danner, i3 Statprobe, Lincoln, NE Matthew J. Wiedel, Celerion, Lincoln, NE CC04. Plotting an Error/Line Plot and Bar Graph in a Single Plot with Dual Y-Axis Scales Sanjiv Ramalingam, Octagon Research Solutions Inc. CC05. Macros to Help You Clean Up! Kavitha Madduri, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT CC06. A SAS® Macro to Indent the un-indented SAS programs Sreekanth Reddy Middela, Novartis Pharmaceuticals Corporation, East Hanover, New Jersey Jyothsna Samala, Percept Pharma Services, Bridgewater, New Jersey Anirudh Bhetala, Percept Pharma Services, Bridgewater, New Jersey CC09. Macro to Generate Summary and Descriptive Statistics Tables Yogesh Pande, Merck Sharp & Dohme Corp., Rahway, New Jersey CC10. A Recursive SAS Macro to Automate Importing Multiple Excel Worksheets into SAS Data Sets Wenyu Hu, Merck Sharp & Dohme Corp., Upper Gwynedd, PA Liping Zhang, Merck Sharp & Dohme Corp., Upper Gwynedd, PA CC11. Reading Title and Footnote from RTF Output into SAS® utilizing Microsoft® Excel Ajay Gupta, PPD Inc, Morrisville, NC CC12. Smart Import/Append Data in Excel Sheets Zhengping Ma, Eli Lilly and Company, Indianapolis, IN Liping Liu, i3 StatProbe, Indianapolis, IN CC13. Beyond the Comma Delimited File for Bringing Data into a SAS Dataset David Franklin, TheProgrammmersCabin.com, Litchfield, NH CC14. Semi log plots - Getting the axis tick mark labels in expanded Log10 scale Neha Mohan, i3 Statprobe (Ingenix Pharmaceutical Services), Mumbai, India CC15. Quick – Ready Set Retain, and Maybe Reset! Lisa Fine, United Biosource Corporation, Ann Arbor, MI CC16. A Programmer’s Introduction to Survival Analysis Using Kaplan Meier Methods John Ventre, United Biosource Corporation, Blue Bell, PA Lisa Fine, United Biosource Corporation, Ann Arbor, MI CC17. Combining RTF Graphs Lucius Reinbolt, Celerion, Lincoln, Nebraska CC18. SYMply PUT: GET the most out of SYMPUTX and SYMGETN *** BEST PAPER *** Robert Howard, Veridical Solutions, San Diego, CA CC19. Some Useful Techniques of Proc Format Stan Li, Minimax Information Services, Belle Mead, NJ CC20. Your Age In People Years: Not All Formulas Are the Same Art Carpenter, California Occidental Consultants, Anchorage, AK CC21. Permutation via Recursive SAS® Macro Jian Dai, Clinovo, Sunnyvale, CA CC22. Importing and Parsing Comments From a PDF Document With Help From Perl Regular Expressions *** BEST PAPER *** Joel Campbell, PPD, Inc., Wilmington, NC Ryan Wilkins, PPD, Inc., Wilmington, NC CC23. Choosing the Best Method to Create an Excel Report Romain Miralles, Clinovo, Sunnyvale, CA CC24. A Mass Symphony: Directing the Program Logs, Lists, and Outputs Tom Santopoli, Octagon Research Solutions, Inc., Wayne, PA CC25. Using Two SET Statements in One DATA Step Ben Cochran, The Bedford Group, Raleigh, NC CC26. 2 PROC TRANSPOSEs = 1 DATA Step DOW-Loop Nancy Brucken, i3 Statprobe, Ann Arbor, MI Data ManagementDM01. Building a Hosted Statistical Computing Environment: Is it Possible?*** BEST PAPER *** John Leveille, d-Wise Technologies, Raleigh, NC, USA DM02. The Illusion of Good Data, or How Not to Think of a Blue Elephant Kim Truett, KCT Data, Inc., Alpharetta, GA DM03. Data Edit-checks Integration using ODS Tagset Niraj J. Pandya, Element Technologies Inc., NJ Vinodh Paida, Impressive Systems Inc., TX DM04. Data Quality Review for Missing Values and Outliers Ying Guo, i3 Statprobe, Indianapolis, IN Bradford J. Danner, i3 Statprobe, Lincoln, NE Hands-On WorkshopsHW01. A Pragmatic Programmers Introduction to Data Integration Studio: Hands on Workshop (updated for DI Studio 4.2)Gregory S. Nelson, ThotWave Technologies, Cary, North Carolina HW02. SAS/GRAPH® Elements You Should Know – Even If You Don’t Use SAS/GRAPH Arthur L. Carpenter, California Occidental Consultants, Anchorage, AK HW03. Creating SDTM Datasets from Legacy Data Fred Wood, Octagon Research Solutions, Wayne, PA HW04. Powerful and “Sometimes” Hard-to-find PROC SQL® Features Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, California HW05. From SAP to BDS: The Nuts and Bolts Nancy Brucken, i3 Statprobe, Ann Arbor, MI Paul Slagle, United BioSource Corp., Ann Arbor, MI HW07. An Introduction to SAS/GRAPH or Quick Tricks with the GPLOT and GCHART Procedures And the Annotate Facility Ben Cochran, The Bedford Group, Raleigh, NC HW08. SDTM, ADaM and define.xml with OpenCDISC® Matt Becker, PharmaNet, Cary, NC Angela Ringelberg, PharmaNet, Cary, NC Health Science, Epidemiology, and Post-Market ResearchHS01. Effectiveness Of Disease Management Care In The Case Of Heart FailureBeatrice Ugiliweneza, Department of Mathematics, University of Louisville, Louisville, KY HS03. Using SAS Predictive Modeling to Investigate the Asthma’s Patient Future Hospitalization Risk Yehia H. Khalil, University of Louisville, Louisville, KY, US HS04. Cost-Effectiveness Of Primary PCI At Hospitals Without Onsite CaABG Pedro Ramos, University of Louisville, Louisville, KY HS06. Classification of frequent snoring from routine medical examinations using the NHANES Database Barry W. Row, University of Louisville, Louisville, KY, USA HS07. Adjusting Analyses of Survey Results using a Predicted Probability of Response *** BEST PAPER *** Rob Gately, INNOVUS: Epidemiology, Waltham, MA HS08. Visualizing Healthcare Provider Network using SAS® Tools John Zheng, Columbia, MD HS09. Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner Patricia B. Cerrito, University of Louisville, Louisville, KY HS10. Epidemiology in Drug Development Catherine Sigler, DVM MPH PhD, United BioSource Corporation, Ann Arbor, MI Annette Stemhagen, DrPH, FISPE, United BioSource Corporation, Blue Bell, PA HS11. Analytical Methods for Post-Marketing Safety Surveillance Annette Stemhagen, DrPH, FISPE, United BioSource Corporation, Blue Bell, PA Juliane K. Mills, United BioSource Corporation, Blue Bell, PA Industry BasicsIB01. Success As a Pharmaceutical Statistical ProgrammerSandra Minjoe, Octagon Research Mario Widel, Roche Molecular Systems IB03. Oncology Trials 101 - The Basics and Then Some Dave Polus, COMSYS Clinical, Portage, MI IB04. Brave New World: How to Adapt to the CDISC Statistical Computing Environment Jeff Abolafia, Rho, Inc., Chapel Hill NC Frank DiIorio, CodeCrafters, Inc., Philadelphia PA IB05. Similarities and Differences in SAS Programming Among CRO and Pharmaceutical Industries *** BEST PAPER *** Sandra Minjoe, Octagon Research Solutions, Wayne, PA Mark Matthews, i3Statprobe, Indianapolis, IN IB06. Your Dataset Looks Fine – But Does It Comply with ’99? Meenal Sinha, Octagon Research Solutions, Inc., Wayne, PA IB07. Using Six Sigma Methodologies to Find a Solution for Increasing Training Completions Eunice Ndungu, Merck, North Wales PA Shazia Khawaja, Merck, North Wales PA Janet Low, Merck, North Wales PA Steve Miola, Merck, North Wales PA ManagementMA01. Lessons Learned From Managing a New Statistical Programming GroupYong Zhao, inVentiv Clinical Solutions, Somerset, NJ MA02. Managing the Validation and Migration from SAS® 9.13 to 9.2 on a New Server Carey Smoak, Roche Molecular Systems, Inc., Pleasanton, CA Sy Truong, Meta-Xceed, Inc. (MXI), Fremont, CA MA03. A Six-Sigma/DMAIC Approach to Defining a SAS Macro Repository Strategy *** BEST PAPER *** Sandy Paternotte, PPD, Inc., Wilmington, NC Tom Fritchey, PPD, Inc., Wilmington, NC MA04. Developing Resourcefulness in SAS® Programmers Brian Varney, COMSYS, Kalamazoo, MI MA05. Helping Students Become Effective Industry Statisticians: Supplementing Science with Data Savvy Aleksandra Stein, Celerion, Lincoln, Nebraska Steven Kirby, Celerion, Lincoln, Nebraska MA06. Using LinkedIn and sasCommunity.org as Human Resource Tools for Managing a Network of SAS® Professionals Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, California Charles Edwin Shipp, JMP 2 Consulting, Inc., San Pedro, California PostersPO01. BAT Files: Run all Your Programs with One Click in PC SASWilliam Conover, Advanced Clinical, Bannockburn, IL PO02. Generate Informative Clinical Laboratory Results Listing Sai Ma, Everest Clinical Research Services Inc., Markham, Ontario, Canada PO03. A Practical Approach to Process Improvement Using Parallel Processing Viraj Kumbhakarna, Cognizant Technology Solutions Corporation, Lake Hiawatha, NJ PO04. Assumptions and Consequences of Comparative Effectiveness Analysis Using Data Mining Patricia B. Cerrito, University of Louisville, John Cerrito, Kroger Pharmacy PO05. Cumulative Incidence Ratio Plots Sai Ma, Everest Clinical Research Services Inc., Markham, Ontario, Canada PO06. Get Dynamic Multi-sheet Excel Workbook with STYLE using ODS Niraj J. Pandya, Element Technologies Inc., NJ PO08. FAQ: Issues with Efficacy Analysis of Clinical Trial Data Using SAS Sandeep Sawant, i3 Statprobe (INGENIX Pharmaceutical Services), India Neha Mohan, i3 Statprobe (INGENIX Pharmaceutical Services), India PO09. Method to Derive Reproducible SDTM Relationship Datasets Suwen Li, Everest Research Services Inc., Markham, ON Sai Ma, Everest Research Services Inc., Markham, ON Regan Li, Everest Research Services Inc., Markham, ON Bob Lan, Everest Research Services Inc., Markham, ON PO11. Automated Generation of Clinical Study Reports *** BEST PAPER *** Suhas R. Sanjee, Merck Sharp & Dohme Corp., Upper Gwynedd, PA Rajavel Ganesan, Merck Sharp & Dohme Corp., Upper Gwynedd, PA Jason Clark, Merck Sharp & Dohme Corp., Upper Gwynedd, PA PO12. Processing the RefSeq and CCDS Annotation Datasets Using the SAS System: Creation of Gene Reference Kevin Viel, Saint Joseph’s Translational Research Institute, Atlanta, GA Shannon Grabich, Kennesaw State University, Kennesaw, GA PO13. Array of hope: Using SAS Arrays to produce data-driven analysis and reports Aida Likaj, PPD Inc., Austin, TX PO14. Automatization of Patient Characteristics Report Mirjana Stojanovic, Cancer Center Biostatistics, Duke University Medical Center, Durham, NC PO16. Computing Percentage Using PROC TABULATE – from Simple to More Complex Wende (Ted) Tian, Merck Sharpe & Dohme Corp., Rahway, NJ Hong (Lily) Zhang, Merck Sharpe & Dohme Corp., Rahway, NJ SAS PresentsSAS-AD01. Tips and Tricks for Clinical Graphs using ODS GraphicsSanjay Matange, SAS Institute Inc., Cary, NC SAS-AD02. Beyond the Basics: Advanced REPORT Procedure Tips and Tricks Updated for SAS® 9.2 Allison McMahill Booth, SAS Institute Inc., Cary, NC, USA SAS-AD03. SAS Drug Development Program Portability Ben Bocchicchio, SAS Institute, Cary NC, US Nancy Cole, SAS Institute, Cary NC, US SAS-CC27. SAS Abbreviations are your friends, use the template method to code! Elizabeth Ceranowski, SAS Institute, Cary, NC SAS-CD01. Confessions of a Clinical Programmer: Dragging and Dropping Means Never Having to Say You’re Sorry When Creating SDTM Domains Janet Stuelpner, SAS Institute, Inc. Jack Shostak, Duke Clinical Research Institute SAS-DM01. Choosing the Road Less Traveled: Performing Similar Tasks with either SAS® DATA Step Processing or with Base SAS® Procedures Kathryn McLawhorn, SAS Institute Inc., Cary, NC SAS-HW01. Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS® Vincent DelGobbo, SAS Institute Inc., Cary, NC SAS-HW02. Using the SAS® Clinical Standards Toolkit for define.xml creation Lex Jansen, SAS Institute Inc., Cary, NC SAS-SP01. CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement Kathleen Kiernan, SAS Institute Inc., Cary, NC Randy Tobias, SAS Institute Inc., Cary, NC Phil Gibbs, SAS Institute Inc., Cary, NC Jill Tao, SAS Institute Inc., Cary, NC SAS-TT01. Don’t Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender, SAS Institute, Inc., Cary, NC, USA SAS-TT02. The Perfect Marriage: The SAS® Output Delivery System (ODS) and Microsoft Office Chevell Parker, SAS Institute Statistics and PharmacokineticsSP02. Incorporating Graphics into Summary Report Tables using ODS and GTLQinghua (Kathy) Chen, Genentech Inc., South San Francisco, CA SP03. Formulas Calculating Risk Estimates and Testing for Effect Modification and Confounding Manojkumar B Agravat, Tampa, Florida SP04. Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures *** BEST PAPER *** Bohdana Ratitch, Quintiles, Montreal, Quebec, Canada Michael O’Kelly, Quintiles, Dublin, Ireland SP05. A Modular Approach of Reporting Meta Analysis Statistics Using Forest Plots Vikash Jain, eClinical Solutions, A Division of Eliassen Group, New London, CT SP06. Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis Matthew Davis, M.S., University of Pennsylvania, Philadelphia, PA Sharon X. Xie, Ph.D., University of Pennsylvania, Philadelphia, PA SP07. Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS Dongsun Cao, ICON Clinical Research, Durham, NC Xiaomin He, ICON Clinical Research, North Wales, PA SP08. Estimating Sample Size through Simulations Wuchen Zhao, University of Southern California, Los Angeles, CA Arthur X. Li, City of Hope National Cancer Center, Duarte, CA SP09. Implementation of Pairwise Fitting Technique for Analyzing Multivariate Longitudinal Data in SAS Madan Gopal Kundu, Indiana University Purdue University at Indianapolis, Indianapolis, IN SP10. Using SAS® for Modeling and Simulation in Drug Development – A Review and Assessment of Some Available Tools Melvin Munsaka, TGRD, Deerfield, Illinois Michael Carniello, TGRD, Deerfield, Illinois SP11. Evaluating Safety Signals in Clinical Trials: the Dirichlet-NBD Model Implementation with SAS Yuqin Li, inVentiv Clinical Solutions, Indianapolis, IN Xiaohai Wan, Eli Lilly and Company, Indianapolis, IN Technical TechniquesTT01. Scatter Charts of Serial Observations with Proc SGPLOT and Graphics Template LanguageAnthony L. Feliu, Genzyme Corporation, Cambridge, Massachusetts TT02. Create a Format from a SAS® Data Set Ruth Marisol Rivera, i3 Statprobe, Mexico City, Mexico TT03. Creating Customized Patient Profiles using SAS ODS RTF and PROC TEMPLATE *** BEST PAPER *** Andrea Ritter, Biostatistics, Quintiles Inc., Morrisville, NC TT04. Using a HASH Table to Reference Variables in an Array by Name John Henry King, Hopper, Arkansas TT05. Good Programming Practices in Healthcare Creating Robust Programs Gregory S. Nelson, ThotWave Technologies Jay Zhou, Q-Squared Business Intelligence, Inc. TT06. You Want that Program to Run on the PC in New Jersey and the Unix in Basel, without Modification?? David Franklin, TheProgrammersCabin.com, Litchfield, NH TT07. Keeping Patients on Schedule, The Art of Visit Windows and Cycle Slotting Paul Slagle, United Biosource Corp., Ann Arbor, MI TT08. Alternative Approaches to Creating Disposition Flow Diagrams Brian Fairfield-Carter, ICON Clinical Research, Redwood City, CA Suzanne Humphreys, ICON Clinical Research, Redwood City, CA TT10. Creating a Customized Graph for Adverse Event Incidence and Duration Sanjiv Ramalingam, Octagon Research Solutions Inc. TT11. Type Less, Do More: Have SAS® do the typing for you Jeanina Worden, PPD, Austin TX TT12. Creating Forest Plots Using SAS/GRAPH and the Annotate Facility Amanda Tweed, Millennium: The Takeda Oncology Company, Cambridge, MA TT13. ExcelXP on Steroids: Adding Custom Options To The ExcelXP Tagset Mike Molter, D-Wise Technologies, Raleigh, NC TT14. Run your reports through that last loop to standardize the presentation attributes Niraj J. Pandya, Element Technologies Inc., NJ TT15. An Introduction to SAS® Hash Programming Techniques Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, California TutorialsTU01. Creating Hyperlinked PDF Graphical Patient Profiles with PROC REPORTWilliam Conover, Advanced Clinical, Bannockburn, IL TU02. New Tips and Tricks for Creating a Harmonized, Report-Friendly SDTM and ADaM Lab Data for a Clinical Study Report Xiangchen (Bob) Cui, Vertex Pharmaceuticals, Cambridge, MA Min Chen, Vertex Pharmaceuticals, Cambridge, MA Scott Moseley, Vertex Pharmaceuticals, Cambridge, MA TU03. Excel Traffic Lighting and Street Paving Simplified Steven Black, W. L. Gore & Associates, Inc., Flagstaff, AZ TU04. Leave Your Bad Code Behind: 50 Ways to Make Your SAS Code Execute More Efficiently William E Benjamin Jr, Owl Computer Consultancy, LLC, Phoenix, AZ TU05. A Many to Many Merge, Without SQL? David Franklin, TheProgrammersCabin.com, Litchfield, NH TU06. The Many Ways To Effectively Utilize Array Processing Arthur Li, City of Hope Comprehensive Cancer Center, Duarte, CA TU07. A Cup of Coffee and Proc FCMP: I Cannot Function Without Them Peter Eberhardt, Fernwood Consulting Group Inc, Toronto ON TU08. Perl Regular Expressions: Out of the Oyster, Into Your Code Eric Larson, Madison, Wisconsin TU09. Using the ADaM Basic Data Structure for Survival Analysis *** BEST PAPER *** Nancy Brucken, i3 Statprobe, Ann Arbor, MI Sandra Minjoe, Octagon Research, Wayne, PA Mario Widel, Roche Molecular Systems, Pleasanton, CA |
Upcoming Conference
Fall 2013 Single-Day Event
Sept. 13 - La Jolla, CA
Save the Date! Details to follow.
Save the Date! Details to follow.
