| PharmaSUG 2012 Conference Proceedings |
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Download the entire 2012 conference proceedings as a ZIP file (58MB) or browse individual paper PDFs:
Applications DevelopmentAD01. A Standard SAS Program for Corroborating OpenCDISC Error MessagesJohn R. Gerlach, TAKE Solutions, Princeton, NJ Ganesh Sankaran Thangavel, TAKE Solutions, Princeton, NJ AD02. SAS® Programming Tips, Tricks and Techniques Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, CA AD03. SAS® Data Query and Edit Checks with HTML5 Sy Truong, Meta-Xceed, Inc. (MXI), Fremont, CA Ale Gicqueau, Clinovo, Sunnyvale, CA AD04. How Readable and Comprehensible Is a SAS® Program? A Programmatic Approach to Getting an Insight into a Program Rajesh Lal, Experis, Portage, MI, USA Raghavender Ranga, Vertex, Cambridge, MA, USA AD05. The Application of SAS Perl Regular Expression in Clinical Trial Studies - Batch Processing SAS Programs Zhong Yan, PharmaNet/i3, Indianapolis, IN Kimberly Jones, PharmaNet/i3, Austin, TX AD06. A SAS® Tool to Allocate and Randomize Samples to Illumina Microarray Chips Huanying Qin, Baylor Institute of Immunology Research, Dallas, TX Greg Stanek, STEEEP Analytics, Baylor Health Care System, Dallas, TX Derek Blankenship, Quantitative Sciences, Baylor Health Care System, Dallas, TX AD07. Migrating to a 64-bit operating system: Quick pointers Jacques Thibault, Sunovion Pharmaceuticals Inc., Marlborough, MA AD08. Maximize the power of %SCAN using WORDSCAN utility Priya Saradha, Edison, NJ AD10. Experience of Generating an XML file and Uploading Serious and Frequent Adverse Events to ClinicalTrials.gov Juan Wu, Medtronic Inc., Santa Rosa, CA Min Lai, Medtronic Inc., Santa Rosa, CA AD12. A SAS Macro Utility to Append SAS-Generated RTF Outputs and Create the Table of Contents *** BEST PAPER *** Sudhakar Anbazhagan, Ockham Development Group, Chennai, India Shridhar Patel, Ockham Development Group, Cary, NC AD14. Creating Define.pdf with SAS® Version 9.3 ODS RTF Elizabeth Li, PharmaStat, LLC, Newark, CA Carl Chesbrough, PharmaStat, LLC, Newark, CA AD15. Database Tectonics: Assessing Drift in Analysis Data *** BEST PAPER *** Brian Fairfield-Carter, ICON Clinical Research, Redwood City, CA Jasmin Fredette, ICON Clinical Research, Redwood City, CA AD16. Clinical Laboratory Results, Old and New Pains Mario Widel, Roche Molecular Systems Scott Bahlavooni, Genentech AD17. Program Development with SAS Enterprise Guide® and SAS/Connect® in a Combined PC and Unix Environment Roger D. Muller, Ph.D., First Phase Consulting, Carmel, IN AD18. OpenCDISC Plus Annie Guo, ICON Clinical Research, San Francisco, California AD19. Making a List, Checking it Twice: Efficient Production and Verification of Tables and Figures Using SAS® Linda Collins, PharmaStat, LLC, Newark, CA Elizabeth Li, PharmaStat, LLC, Newark, CA AD20. CDISC SDTM CONVERSION IN ISS/ISE STUDIES: TOOLS Balaji Ayyappan, PharmaNet/i3, Cary, NC AD21. Things Dr Johnson Did Not Tell Me: An Introduction to SAS® Dictionary Tables Peter Eberhardt, Fernwood Consulting Group Inc., Toronto, ON, Canada AD22. Using JMP® Partition to Grow Decision Trees in Base SAS® Mira Shapiro, Analytic Designers LLC, Bethesda, MD AD23. Accessing Microsoft Excel® Workbook Cell Attributes from within SAS® v9 Timothy J Harrington, Dataceutics, Inc. Pottstown, PA AD24. Let’s compare two SAS® libraries! Kavitha Madduri, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT AD26-SAS. Enabling Analytics: Integrating and Automating the Clinical Data Analysis and Reporting Process (No paper available) Matt Gross, SAS Institute, Cary, NC AD27-SAS. From InForm EDC Data to SAS Datasets using SAS Clinical Data Integration – Real Time Jitesh Nagaria, SAS Institute, Cary, NC AD28. Is Your Failed Macro Due To Misjudged “Timing”? Arthur Li, City of Hope Comprehensive Cancer Center, Duarte, CA AD29. Innovative Techniques: Doing More with Loops and Arrays Arthur L. Carpenter, California Occidental Consultants, Anchorage, AK AD30. Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter Eberhardt, Fernwood Consulting Group Inc., Toronto, ON, Canada Coders' CornerCC01. Use Your Cores! An Introduction to Multi-core Processing with SASErik Dilts, INC Research, Raleigh, NC CC02. Automatic Version Control and Track Changes of CDISC ADaM Specifications for FDA Submission Xiangchen (Bob) Cui, Vertex Pharmaceuticals, Cambridge, MA Min Chen, Vertex Pharmaceuticals, Cambridge, MA CC03. Automatic Detection and Identification of Variables with All Missing Values in SDTM/ADaM Datasets for FDA Submission Min Chen, Vertex Pharmaceuticals, Cambridge, MA Xiangchen (Bob) Cui, Vertex Pharmaceuticals, Cambridge, MA CC04. Using PROC COMPARE to identify new and updated records in a subject listing Mark McLaughlin, Biogen Idec, Cambridge, MA CC05. Using Skype to run SAS® programs Romain Miralles, Genomic Health, Redwood City, CA CC06. Watermarking and Combining Multiple RTF Outputs in SAS® *** BEST PAPER *** Ajay Gupta, PPD Inc, Morrisville, NC CC07. Importing Excel ® File using Microsoft Access ® in SAS ® Ajay Gupta, PPD Inc, Morrisville, NC CC08. Automation of Comparing ODS RTF Outputs in Batch using VBA and SAS® Dongsun Cao, UCB BioSciences, Inc., Raleigh, NC CC09. The application of variable-dependent macro on SDTM conversion Mindy Wang, Independent Consultant, North Potomac, MD CC10. Calculating time-to-event parameters using a single DATA step and a RETAIN statement Andrew L Hulme, PRA, Lenexa, KS CC11. Short-circuiting PROC COMPARE: Techniques for Focusing Dataset Comparisons Tracy Sherman, ICON Clinical Research, Redwood City, CA Brian Fairfield-Carter, ICON Clinical Research, Redwood City, CA CC12. An Efficient Method to Create Titles for Multiple Clinical Reports Using Proc Format within A Do Loop Youying Yu, PharmaNet/i3, West Chester, OH CC13. Techniques for Improvising the Standard Error Bar Graph and Axis Values Completely Through SAS Annotation Sunil Kumar Ganeshna, PharmaNet/i3, Pune, India Venkateswara Rao, PharmaNet/i3, Pune, India CC14. Quick Data Definitions Using SQL, REPORT and PRINT Procedures Bradford J. Danner, PharmaNet/i3, TN CC15. Reporting Outliers in Data: A Macro to Identify and Report Distant Data Points Howard Liang, PharmaNet/i3, Eden Prairie, MN Jason Bishop, PharmaNet/i3, Louisa, VA CC17. Efficiently Trim Character Variable Lengths to Fit Data, Reduce Dataset Size Wayne Zhong, Octagon Research Solutions Inc., Wayne, PA CC18. One Macro Call to a Table with both Frequency and Summary Elements from a Subject-Level Dataset Wayne Zhong, Octagon Research Solutions Inc., Wayne, PA CC19. DON’T HAVE A “WEEK” REPORT *** BEST PAPER *** Barbara Ross, DataX Ltd, Las Vegas, NV CC20. Beyond %LET: Building a GUI to Pass Run-Time Parameters to SAS Programs Using VBScript and HTML Applications Shawn Hopkins, Seattle Genetics, Bothell, WA CC21. Identifying and Verifying Treatment-Emergent Adverse Events and Concomitant Medications by Date Specificity Tom Santopoli, Octagon Research Solutions, Inc., Wayne, PA CC22. A Macro to Indent and Hyphenate Lengthy Text in PROC REPORT Stanley Yuen, SimulStat Inc., San Diego, CA CC23. Figure Out Your Programming Logic Errors via DATA Step Debugger Wuchen Zhao, University of Southern California, Los Angeles, CA CC24. Need a hand to locate your variables in an entire library? Ying Guo, PAREXEL International, Indianapolis, IN CC25. Formats in another format Bettina Ernholt Nielsen, Ferring Pharmaceuticals A/S, Copenhagen, Denmark CC26. The power of using options COMPLETETYPES and PRELOADFMT Naren Surampalli, Novartis Pharmaceuticals, Florham Park, NJ CC27. “V” Can Transpose: Transposing Data Sets Using Functions Neha Mohan, PharmaNet/i3, Mumbai, India CC29. Sending Emails in SAS® to Facilitate Clinical Trial Frank Fan, Clinovo, Sunnyvale, CA CC30. A Mean Way to Count, Enumerating the Values of Multiple Variables Using Formats with the Means Procedure Rod Norman, PharmaNet/i3 (an InVentiv Health Company) San Diego, CA CC32. Using File Modification Date Comparisons to Alert Study Teams of Potential SAS Program Revisions between Shared Folders Stephen Hunt, ICON Clinical Research, Redwood City, CA Brian Fairfield-Carter, ICON Clinical Research, Redwood City, CA CC33. Macro to Combine Listing and Descriptive Statistics Table in One Report Chenille Lloyd, PharmaNet/i3, Cary, NC CC34. Determining and Reporting Significant Decimal Places for Continuous Data in Mixed Form Gary E. Moore, Moore Computing Services, Inc., Little Rock, AR CC35. Export SAS Data to Excel in SAS® Drug Development Chun Feng, Celerion, Lincoln, NE Xiaopeng Li, Celerion, Lincoln, NE Data Standards and QualityDS01. Transform Incoming Lab Data into SDTM LB Domain with Confidence*** BEST PAPER *** Anthony L. Feliu, Genzyme, A Sanofi Company, Cambridge, MA DS02. Ir-RECIST-ible Sanket Kale, Parexel International, Durham, NC Jeffrey Moran, Parexel International, Durham, NC DS03. SAS File Design: Guidelines for Statisticians and Data Managers Douglas Zirbel, Independent Consultant, St Louis, MO DS05. Seven New SDTM Domains for Medical Devices Carey Smoak, Roche Molecular Systems, Inc., Pleasanton, CA Fred Wood, Octagon Research Solutions, Wayne, PA Rhonda Facile, CDISC, TX Kit Howard, Kestrel Consultants, MI DS06. SDTM Domain Mapping with Structured Programming Methodology Chengxin Li, Boehringer Ingelheim, Ridgefield, CT Jing-Wei Gao, Boehringer Ingelheim, Ridgefield, CT Nancy Bauer, Boehringer Ingelheim, Ridgefield, CT DS07. Generating SUPPQUAL Domains From SDTM-Plus Domains John R. Gerlach, TAKE Solutions, Inc., Princeton, NJ Glenn O’Brien, Independent Consultant, Roseland, NJ DS08. Avoiding a REL-WRECK; Using RELREC Well Karl Miller, Pharmanet-i3, Lincoln, NE J. J. Hantsch, Pharmanet-i3, Chicago, IL Janet Stuelpner, SAS Institute Inc., New Canaan, CT DS09. Considerations in the Submission of Exposure Data in an SDTM-Compliant Format Fred Wood, Octagon Research Solutions, Wayne, PA Jerry Salyers, Octagon Research Solutions, Wayne, PA Richard Lewis, Octagon Research Solutions, Wayne, PA DS10. Considerations in the Submission of Pharmacokinetics (PK) Data in an SDTM-Compliant Format Fred Wood, Octagon Research Solutions, Wayne, PA Peter Schaefer, Certara, Cary, NC Richard Lewis, Octagon Research Solutions, Wayne, PA DS11. Experiences in Leading a Company-Wide First CDISC Filing from a Programming Perspective Sho-Rong Lee, Genentech, a Member of the Roche Group, South San Francisco, CA DS13. “Analysis-ready” – Considerations, Implementations, and Real World Applications Ellen (Zihui) Lin, Amgen Inc, Thousand Oaks, CA Beiying Ding, Amgen Inc, Thousand Oaks, CA DS14. A Complex ADaM dataset? Three different ways to create one. Kevin Lee, Cytel, Inc., Chesterbrook, PA DS15. Building Flexible ADaM Analysis Variable Metadata Songhui Zhu, K & L Consulting Services, Fort Washington, PA Lin Yan, Celgene Corporation, Summit, NJ DS16. Common Misunderstandings about ADaM Implementation *** BEST PAPER *** Nate Freimark, Theorem Clinical Research, King of Prussia, PA Susan Kenny, Amgen Inc, Thousand Oaks, CA Jack Shostak, Duke Clinical Research Institute, Durham, NC John Troxell, John Troxell Consulting LLC, Bridgewater, NJ DS17. Creating an Integrated Summary of Safety Database using CDISC ADaM : Challenges, Tips and Things to Watch Out Rajkumar Sharma, Genentech Inc., A member of the Roche Group, South San Francisco, CA DS18. CDISC ADaM Application: Does All One-Record-per-Subject Data Belong in ADSL? Sandra Minjoe, Octagon Research Solutions, Wayne, PA DS19. Multiple Applications of ADaM Time-to-Event Datasets Huei-Ling Chen, Merck Sharp & Dohme Corp., Whitehouse Station, NJ Helen Wang, Merck Sharp & Dohme Corp., Whitehouse Station, NJ DS20. An Innovative ADaM Programming Tool for FDA Submission Xiangchen (Bob) Cui, Vertex Pharmaceuticals, Cambridge, MA Min Chen, Vertex Pharmaceuticals, Cambridge, MA Tathabbai Pakalapati, Vertex Pharmaceuticals, Cambridge, MA DS21-SAS. Creating Analysis Data Marts from SDTM Warehouses Frank L. Roediger, SAS Institute, Inc., Cary, North Carolina DS22-SAS. Harnessing the Power of SAS ISO 8601 Informats, Formats, and the CALL IS8601_CONVERT Routine Kim Wilson, SAS Institute Inc., Cary, NC, USA Data Visualization and GraphicsDG01. Proficiency in JMP® VisualizationCharles Edwin Shipp, Consider Consulting Corporation, San Pedro, CA Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, CA DG02. Statistical Graphics for Clinical Research Using ODS Graphics Designer *** BEST PAPER *** Wei Cheng, Isis Pharmaceuticals, Inc., Carlsbad, CA DG03. Building Reports and Documents in SAS® Enterprise Guide 4.2®: How to Create a Single Document from Multiple Reports and Tasks R. Scott Leslie, MedImpact Healthcare Systems, Inc., San Diego, CA DG04. iRobot: Listing Creator David Gray, PPD, Austin, TX Zhuo Chen, PPD, Austin, TX Suneela Gogineni, PPD, Austin, TX DG05. A Multifaceted Approach to Generating Kaplan-Meier and Waterfall Plots in Oncology Studies Stacey D. Phillips, PharmaNet/i3, Madison, WI DG06. Creating SAS® Report Outline Using the Output Delivery System for Online Review Sue X. Zhang, Abbott Nutrition Research and Development, Abbott Laboratories, Columbus, OH DG07. Easy-to-use Macros to Create a Line Plot with Error Bars Including Functions of Automated Jittering and Adjusting Axis Ranges Andrew Miskell, GlaxoSmithKline, Research Triangle Park, NC Peixin Sun, GlaxoSmithKline, Research Triangle Park, NC Yufei Du, GlaxoSmithKline, Research Triangle Park, NC DG08. Personalized Risk Graphs for Intervention Trials – in Technicolor! Using PROC GKPI and CALL EXECUTE to Get the Job Done *** BEST PAPER *** Janet Grubber, VA Health Services Research and Development (HSR&D), Durham, NC Cynthia J. Coffman, VA HSR&D and Duke University Medical Center, Durham, NC Will Yancy, VA HSR&D and Duke University Medical Center, Durham, NC Corrine Voils, VA HSR&D and Duke University Medical Center, Durham, NC DG10. Taming the Box Plot Sanjiv Ramalingam, Vertex Pharmaceuticals, Inc., Cambridge, MA DG11. Gilding the Lily: Boutique Programming in TAGSETS.RTF Rohini Rao, Omeros Corporation, Seattle, WA Paul Hamilton, Omeros Corporation, Seattle, WA DG12. Is the Legend in your SAS/Graph® Output Still Telling the Right Story? Alice M. Cheng, South San Francisco, CA Justina Flavin, SimulStat Inc., San Diego, CA DG13. Waterfall Charts in Oncology Trials - Ride the Wave Niraj J. Pandya, Element Technologies Inc., Piscataway, NJ DG14-SAS. Creating Statistical Graphics in SAS® (No paper available) Warren Kuhfeld, SAS Institute, Cary, NC DG15-SAS. Don’t Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender, SAS Institute, Inc., Cary, NC, USA Hands-On WorkshopsHW01. An Introduction to the Clinical Standards Toolkit and Clinical Data Compliance CheckingMike Molter, d-Wise Technologies, Raleigh, NC HW02-SAS. Using the SAS® Clinical Standards Toolkit 1.4 for define.xml creation Lex Jansen, SAS Institute Inc., Cary, NC HW03. Creating the Time to Event ADaM Dataset: The Nuts and Bolts Nancy Brucken, PharmaNet/i3, Ann Arbor, MI Paul Slagle, United BioSource Corp., Ann Arbor, MI HW04. Ready To Become Really Productive Using PROC SQL? Sunil K. Gupta, Gupta Programming, Simi Valley, CA HW05. SAS® Macro Programming Tips and Techniques Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, CA HW06. Doing More with the Display Manager: From Editor to ViewTable - Options and Tools You Should Know Arthur L. Carpenter, California Occidental Consultants, Anchorage, AK HW07. SDTM, ADaM and define.xml with OpenCDISC® Matt Becker, PharmaNet/i3, Cary, NC HW08-SAS. An Introduction to Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS® Vincent DelGobbo, SAS Institute Inc., Cary, NC Health Outcomes and EpidemiologyHO01. Multiple Techniques for Scoring Quality of Life QuestionnairesBrandon Welch, Rho, Inc., Chapel Hill, NC Seungshin Rhee, Rho, Inc., Chapel Hill, NC HO02. 7 Steps to Progression Free Survival Insights Using SAS® Karen Walker, Walker Consulting LLC, Chandler, AZ HO04. Tumor Assessment using RECIST: Behind the Scenes Suhas R. Sanjee, Accenture LLP, Philadelphia, PA Rajavel Ganesan, Accenture LLP, Philadelphia, PA Mary N. Varughese, Accenture LLP, Philadelphia, PA HO06. Are You Discrete? Patients’ Treatment Preferences and the Discrete Choice Experiment Beeya Na, ICON Late Phase & Outcomes Research, San Francisco, CA Eric Elkin, ICON Late Phase & Outcomes Research, San Francisco, CA HO07. Using the SAS System as a bioinformatics tool: a macro that calls the standalone Basic Local Alignment Search Tool (BLAST) setup *** BEST PAPER *** Kevin Viel, Ph.D., Histonis, Incorporated, Atlanta, GA HO08. ESTIMATING RISK IN THE PRESENCE OF UNREPORTED ZEROS IN THE DATA Brandon Fleming, UMBC, Baltimore, MD Industry BasicsIB01. Adapt and Survive: Implementing the new ICH Development Safety Update Report (DSUR)Patricia L. Gerend, Genentech Inc., South San Francisco, CA Rajkumar Sharma, Genentech Inc., South San Francisco, CA IB02. Risk Evaluation and Mitigation Strategies (REMS) and How They Impact Biostatistics and Statistical Programming Groups Arthur Collins, Biogen Idec, Inc., Cambridge, MA IB03. Metadata: Some Fundamental Truths Frank DiIorio, CodeCrafters, Inc., Philadelphia, PA IB04. Could Have, Would Have, Should Have! Adopting Good Programming Standards, Not Practices, to Survive An Audit. *** BEST PAPER *** Vincent J. Amoruccio, M.A., Alexion Pharmaceuticals, Inc., Cheshire, CT IB05. Problem with your SAS® Program? Solutions abound! Max Cherny, GlaxoSmithKline, King of Prussia, PA IB07. Using a Picture Format to Create Visit Windows Richann Watson, PharmaNet/i3, Batavia, OH IB08. SAS Enterprise Guide Best of Both Worlds – Is it Right for You? Sunil K. Gupta, Gupta Programming, Simi Valley, CA IB09. PROGRAMMER’S SAFETY KIT: Important Points to Remember While Programming or Validating Safety Tables Sneha Sarmukadam, Statistical Programmer, PharmaNet/i3, Pune, India Sandeep Sawant, Manager-Statistical Programming, PharmaNet/i3, Pune, India IB10. You Could Be a SAS® Nerd If . . . By Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, CA Management and SupportMS01. If You Can’t Learn It From a Book, Why Are You Reading This?Stephen M. Noga, Rho, Chapel Hill, NC MS02. A CareerView Mirror: Another Perspective on Your Work and Career Planning *** BEST PAPER *** Bill Donovan, OckhamSource™, Cary, NC MS03. Consulting: Critical Success Factors Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, CA Charles Edwin Shipp, Consider Consulting, San Pedro, CA MS04. Managing Programmers across the Great Divide: An Odyssey in managing CRO's, in Big and Small Pharma, Biotech and Pharma and in NJ, CA and Boston Todd Case, Biogen Idec, Inc., Cambridge MA MS05. Giving Data a Voice: Partnering with Medical Writing for Best Reporting Practices *** BEST PAPER *** Katherine Troyer, REGISTRAT-MAPI, Lexington, KY Brit Minor, REGISTRAT-MAPI, Lexington, KY MS06. Managing a Blended Programming Staff of Permanent Employees and Contingent Workers Jim Grudzinski, GlaxoSmithKline, Collegeville, PA MS07. How to keep the project on budget in the clinical trial study Kevin Lee, Cytel, Chesterbrook, PA MS08. Building a Team of Remote SAS® Programmers Ramesh Ayyappath, ICON Clinical Research, North Wales, PA MS09. Coaching the Individual SAS Programmer: Generalist vs. Specialist Mark Matthews, PharmaNet/i3, Indianapolis, IN Sandra Minjoe, Octagon Research Solutions, Wayne, PA MS10. SDTM Domain Development on the Critical Path – Strategies for Success David C. Izard, Octagon Research Solutions, Wayne, PA MS11. A Comparison of Two Commonly Used CRO Resourcing Models for SAS/ Statistical Programmers R. Mouly Satyavarapu, PharmaNet/ i3, Ann Arbor, MI MS12. Managing a Team of Veteran Programmers: Some Tips for Discussion Todd Case, Biogen Idec, Inc., Cambridge, MA Arthur Collins, Biogen Idec, Inc., Cambridge, MA MS13. Connect with SAS® Professionals Around the World with LinkedIn and sasCommunity.org Charles Edwin Shipp, Consider Consulting, San Pedro, CA Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, CA PostersPO01. Graphical Outputs for Efficacy Analyses Using SAS/GRAPH® SG ProceduresDavid A Collins, GlaxoSmithKline, Research Triangle Park, NC PO02. Does NODUPKEY Select the First Record in a By Group? David Franklin, TheProgrammersCabin.com, Litchfield, NH PO03. Streamlining Regulatory Submission with CDISC/ADaM Standards for Non-standard Pharmacokinetic/Pharmacodynamic Analysis Datasets Xiaopeng Li, Celerion Inc., Lincoln, NE Katrina Canonizado, Celerion Inc., Lincoln, NE Chun Feng, Celerion Inc., Lincoln, NE Nancy Wang, Celerion Inc., Lincoln, NE PO04. Algorithm to Compare the Slopes (Regression Coefficients) between the subgroups in Simple/Multiple Regression using PROC REG Sandeep Sawant, PharmaNet/i3, India, Mumbai PO05. EXACTing a Price: Compute Fisher's Exact Test P-values Only When Needed Robert Abelson, Human Genome Sciences, Rockville, MD PO06. A Practice to Create Executable SAS® Programs for Regulatory Agency Reviewers Hongyu Liu, Vertex Pharmaceuticals, Inc., Cambridge, MA Lynn Anderson, Vertex Pharmaceuticals, Inc., Cambridge, MA James O’Hearn, Vertex Pharmaceuticals, Inc., Cambridge, MA Kexi Chen, Vertex Pharmaceuticals, Inc., Cambridge, MA PO07. How to determine carriage controls in SAS® transfers? Eric Kammer, Novartis Pharmaceuticals, East Hanover, NJ Tiantian Sun, Novartis Pharmaceuticals, East Hanover, NJ PO08. One at a Time; Producing Patient Profiles and Narratives J. J. Hantsch, Pharmanet-i3, Chicago, IL Janet Stuelpner, SAS Institute Inc., New Canaan, CT PO09. Graphs made easy with ODS Graphics Designer *** BEST PAPER *** Kevin Lee, Cytel, Inc., Chesterbrook, PA PO10. ADaM Implications from the “CDER Data Standards Common Issues” and SDTM Amendment 1 Documents Sandra Minjoe, Octagon Research Solutions, Wayne, PA PO11. SAS® UNIX-Space Analyzer – A handy tool for UNIX SAS® Administrators Airaha Chelvakkanthan Manickam, Cognizant Technology Solutions, Teaneck, NJ PO12. Automatic Consistency Checking of Controlled Terminology and Value Level Metadata between ADaM Datasets and Define.xml for FDA Submission Xiangchen (Bob) Cui, Vertex Pharmaceuticals, Cambridge, MA Min Chen, Vertex Pharmaceuticals, Cambridge, MA PO13. Creating Metadata Driven Macros to Gain Dynamism and Reduce Complexity in Macro Calls Fernando Enriquez, PharmaNet/i3, Mexico City, Mexico PO14. Transposing Tables from Long to Wide: A Novel Approach Using Hash Objects Joseph Hinson , Merck Sharp & Dohme Corp., Rahway, NJ Changhong Shi, Merck Sharp & Dohme Corp., Rahway, NJ PO15. Automate Validation of CDISC ADaM Variable Label Compliance Wayne Zhong, Octagon Research Solutions Inc., Wayne, PA PO16. Scrambling of Un-Blinded Data without ‘Scrambling Data Integrity’! Jaya Baviskar, Pharmanet/i3, Mumbai, India PO17. Basic Debugging Techniques Beatriz Garcia, Pharmanet/i3, Mexico City Alberto Hernandez, Pharmanet/i3, Mexico City PO18. Study on Good Programming Practices in Health and Life Sciences Arthur Collins, Biogen Idec, Inc., Cambridge, MA Mark Foxwell, Cmed, Horsham, UK Beate Hientzsch, Accovion, Germany Cindy Song, Sanofi, Bridgewater, NJ Statistics & PharmacokineticsSP02. Leverage SAS/Genetics Package to perform Biomarker Drug Response Analysis on Pharmacogenomic DataDeepali Gupta, GCE Solutions, Mansfield, MA Shirish Nalavade, Independent Consultant, Mansfield, MA SP03. Computing Initial Values for Pharmacokinetic ML Nonlinear Regression via genetic algorithms and parallel genetic algorithms *** BEST PAPER *** Francisco Juretig, Nielsen, Buenos Aires, Argentina SP04. APPLICATION OF META-ANALYSIS IN CLINICAL TRIALS Marina Komaroff, Noven Pharmaceuticals Inc., New York, NY SP06. Arriving ‘Normally’ at t-test for a treatment combination Naina Pandurangi, PharmaNet/i3, Mumbai, India SP07. Pattern-Mixture Models as Linear Combinations of Least Squares Means from MMRM with Delta Method Variance Estimation Bohdana Ratitch, Quintiles, Montreal, Quebec, Canada Michael O’Kelly, Quintiles, Dublin, Ireland SP08. USING SAS® TO CALCULATE NONCOMPARTMENTAL URINE PARAMETERS Vanessa Rubano, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT Modesta Wiersema, Boehringer Ingelheim Pharma GmbH & Co. KG., Biberach, DE SP09. Automated forward selection for Generalized Linear Models with Categorical and Numerical Variables using PROC GENMOD Manuel Sandoval, Pharmanet-i3, Mexico City, Mexico SP12. A SAS® Macro for Biomarker Analysis using Maximally Selected Chi-Square Statistic With Application in Oncology Quan Jenny Zhou, Eli Lilly and Company, Indianapolis, IN Bala Dhungana, Eli Lilly and Company, Indianapolis, IN SP13. Communicating Clinical Trial Safety Results the Statistical Graphic Way (No paper available) Mat Soukup, U.S. Food and Drug Administration Techniques & Tutorials: AdvancedTA01. Checksum Please: A Way to Ensure Data IntegrityCarey Smoak, Roche Molecular Systems, Inc., Pleasanton, CA Mario Widel, Roche Molecular Systems, Inc., Pleasanton, CA Sy Truong, Meta-Xceed, Inc., Fremont, CA TA02. Exploring DATA Step Merges and PROC SQL Joins Kirk Paul Lafler, Software Intelligence Corporation, Spring Valley, CA TA03. A Cup of Coffee and Proc FCMP: I Cannot Function Without Them Peter Eberhardt, Fernwood Consulting Group Inc, Toronto, ON, Canada TA04. PIPE Dreams: Yet Another Tool for Dynamic Programming Scott Burroughs, GlaxoSmithKline, Research Triangle Park, NC TA05. Using SAS Colon Effectively Sudhir Singh, EMD Serono, Rockland, MA TA07. Diverse Report Generation With PROC REPORT Chris Speck, PAREXEL International, Durham, NC TA08. Perl Regular Expressions in SAS® 9.1+ - Practical Applications *** BEST PAPER *** Joel Campbell, Advanced Analytics, Wilmington, NC TA09. Supplementing Programmed Assisted Patient Narratives (PANs) with Graphs Using SAS Faye Yeh, Takeda Global Research and Development, Inc, Deerfield, IL Melvin Munsaka, Takeda Global Research and Development, Inc, Deerfield, IL TA10. Programming With CLASS: Keeping Your Options Open Arthur L. Carpenter, California Occidental Consultants, Anchorage, AK TA11-SAS. Why Does SAS® Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charley Mullin and Kevin Russell, SAS Institute, Cary, NC Techniques & Tutorials: FoundationsTF01. Macro Quoting to the Rescue: Passing Special CharactersMary F. O. Rosenbloom, Edwards Lifesciences LLC, Irvine, CA Art Carpenter, California Occidental Consultants, Anchorage, AK TF02. What to Do with a Regular Expression Scott Davis, Experis, Portage, MI TF03. Simplifying Effective Data Transformation Via PROC TRANSPOSE *** BEST PAPER *** Arthur X. Li, City of Hope Comprehensive Cancer Center, Duarte, CA TF04. The SAS Data Step: Where Your Input Matters Peter Eberhardt, Fernwood Consulting Group Inc., Toronto, ON, Canada TF05. Interesting technical mini-bytes of Base SAS® – From Data step to Macros Airaha Chelvakkanthan Manickam, Cognizant Technology Solutions, Teaneck, NJ TF06. Making Your SAS® Data JMP® Through Hoops Mira Shapiro, Analytic Designers LLC, Bethesda, MD TF07. Get SAS®sy with PROC SQL Amie Bissonett, Pharmanet/i3, Minneapolis, MN TF08. Merge vs. Join vs. Hash Objects: A Comparison using "Big" Medical Device Data James Johnson, Medtronic, Inc., Minneapolis, MN TF09. Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank DiIorio, CodeCrafters, Inc., Philadelphia PA TF10. Getting Your Data in Shape With PROC TRANSPOSE Nancy Brucken, PharmaNet/i3, Ann Arbor, MI TF11. Validating SAS Macros and Updated SAS Version Sy Truong, Meta-Xceed, Inc. (MXI), Fremont, CA Carey Smoak, Roche Molecular Systems, Inc., Pleasanton, CA TF12. Atypical Applications of Proc Transpose John King, Ouachita Clinical Data Services Inc., Hopper, AR TF13. Rediscovering the DATA _NULL_ for Creating a Report, And Putting That Text File Into RTF Format In a Single Datastep David Franklin, TheProgrammersCabin.com, Litchfield, NH TF14. Comparing Datasets: Using PROC COMPARE and Other Helpful Tools Deb Cassidy, PPD, Morrisville, NC TF15. A Hitchhiker's guide for performance assessment & benchmarking SAS® applications *** BEST PAPER *** Viraj Kumbhakarna, JPMorgan Chase, Columbus, OH Anurag Katare, Cognizant Technology Solutions, Teaneck, NJ TF16. Reading and Writing RTF Documents as Data: Automatic Completion of CONSORT Flow Diagrams Art Carpenter, California Occidental Consultants, Anchorage, AK Dennis G. Fisher, Ph.D., CSULB, Long Beach, CA TF17. The Use and Abuse of the Program Data Vector Jim Johnson, Ephicacy Corporation, Jersey City, NJ TF19. Cross-Platform Data Migration in a Clinical Environment Frederick Pratter, Destiny Corporation, Las Vegas, NV Srinivas Chittela, Purdue Pharma L.P., Stamford, CT TF20-SAS. PROC REPORT Unwrapped: Exploring the Secrets behind One of the Most Popular Procedures in Base SAS® Software Allison McMahill Booth, SAS Institute Inc., Cary, NC TF21-SAS. Using the New Features in PROC FORMAT Rick Langston, SAS Institute Inc., Cary, NC TF22-SAS. The Greatest Hits: ODS Essentials Every User Should Know Cynthia Zender, SAS Institute Inc., Cary, NC |
Upcoming Conference
Fall 2013 Single-Day Event
Sept. 13 - La Jolla, CA
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