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196 papers and 21 presentations; 198 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 The Agent That Asks the Questions: Autonomous Hypothesis Generation Over CDISC Trial Data with SAS Mehdi Hajmollaahmad Naraghi,
Lida Gharibvand		 source 14
PharmaSUG CN 2026 ESTICID: a SAS macro for Estimating Clinically Important Difference using an anchor-based approach in longitudinal data Zongshi Qin,
Yongpei Yu		 source 15
PharmaSUG CN 2026 Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation Jingbo Zhu,
Jiehan Zhang		 source 17
PharmaSUG CN 2026 Interactive Clinical Plot Gallery with Cross-Plot Subject Linking in R Shiny You (Lea) Lyu source 10
PharmaSUG 2026 A Standardized R Graph Library for Production-Ready Analysis Figures Chunting Zheng,
Margaret Huang,
Xindai Hu		 source 19
PharmaSUG 2026 ARMed AutoTable Macro Agents: An ARM-Driven Framework for Automated Analysis Table Generation Chengxin Li source 10
PharmaSUG 2026 Building ADaM Datasets from Scratch using R: A SAS programmer-s Perspective Patel Mukesh,
Nilesh Patel		 source 15
PharmaSUG 2026 CTCAE v6.0: The Good, the Bad, and the Ugly Elizabeth Dennis,
Grace Fawcett		 source 6
PharmaSUG 2026 From Tables to Tolerances: The Evolving Role of Statistical Programmers in Risk-Based Quality Management (RBQM) Vihar Patel source 14
PHUSE US 2026 Accelerating Study Insights: Agile Data Visualisation Using R-Shiny Lin Yuan,
Heather Howell		 source
presentation source		 6
PHUSE US 2026 Framework for Incorporating Estimands within the Statistical Analysis Plan Inderjeet Arora source
presentation source		 9
PHUSE US 2026 Metadata-Driven TFL Generation: End-to-End Automation from Protocol to Output Bill Qubeck source
presentation source		 12
PHUSE US 2026 Process and Tools for Supporting Haematology Blinded Patient Disease Response Review Deepak S. Grewal,
Naveen Kommuru		 source
poster source		 11
PHUSE APAC 2026 Estimands Framework Through the Eye of a Statistical Programmer Shraddha Ganoo,
Kinjal Pandat		 source
presentation source		 9
PHUSE EU 2025 ResponDEX - Response Data Exploration Dashboard Sevak Kamalyan source 9
PHUSE EU 2025 Visualising the Invisible: Patient Journey with Waterfall, Spider and Swimmer Plots Varsha Mithun Patil,
Sunita Poojary		 source
presentation source		 14
MWSUG 2025 More Muggles, More Macros: Adding Advanced Data-Driven Wizardry to Your SAS Programs [presentation] Joshua M. Horstman,
Richann J. Watson		 source 45
SESUG 2025 More Muggles, More Macros: Adding Advanced Data-Driven Wizardry to Your SAS Programs Joshua M. Horstman,
Richann J. Watson		 45
WUSS 2025 More Muggles, More Macros: Adding Advanced Data-Driven Wizardry to Your SAS Programs [presentation] Joshua M. Horstman,
Richann J. Watson		 source 45
PharmaSUG 2025 A Customizable Framework in R for Presenting BICR Data in a User-Friendly Format Reneta Hermiz,
Jing Ji		 source 14
PharmaSUG 2025 A Novel ADEFF Design with Varying Baseline Type Selections Tingting Tian,
Chao Su,
Fan Wang,
Pengfei Zhu		 source 6
PharmaSUG 2025 An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS Kai Lei,
Jiaqiang Zhu,
Margaret Huang		 source 14
PharmaSUG 2025 Debugging Options in R: Applications and Usage in Clinical Programming Madhusudhan Ginnaram,
Bingjun Wang,
Jeetender Chauhan,
Sarad Nepal		 source 6
PharmaSUG 2025 Hands-on Training: eTFL Portal & TFL Designer Community Bhavin Busa source 8
PharmaSUG 2025 Integrated R scripts to Power BI Jun Yang source 6
PharmaSUG 2025 Interactive Longitudinal Data Analysis and Visualization in Clinical Research Using R. María José Gómez Ramírez source 8
PharmaSUG 2025 Name That ADaM Dataset Structure Nancy Brucken source 8
PharmaSUG 2025 Programming Perspectives for Efficient and Accurate C-QTc Analysis Lingjie Zhang,
Lata Maganti,
Richard Moreton,
Runcheng Li		 source 11
PharmaSUG 2025 Roadmap to Efficacy Analysis for Early Phase Oncology studies Dhruv Bansal,
Christiana Hawn,
Chris Kelly		 source 23
PharmaSUG 2025 Which ADaM Data Structure Is Most Appropriate? Gray Areas in BDS and OCCDS. Veronica Gonzalez source 15
PHUSE US 2025 CDISC 360i: Implementing the CDISC Roadmap Connecting Standards from Design to Analysis Chris Decker,
Peter Van Reusel		 source
presentation source		 4
PHUSE US 2025 FAIR Data, Clear Insights: Enhanced PRO Analysis Fangming Liao source
presentation source		 2
PHUSE US 2025 Role of PK/PD, Biomarker Analysis in the Expansion of Phase 1 Trials Lavanya Peddibhotla source
presentation source		 7
PHUSE US 2025 The Development of the CDISC eTFL Portal To Support the Adoption and Implementation of the Analysis Result Standard Bess LeRoy,
Bhavin Busa		 source
presentation source		 8
PHUSE US 2025 Unlocking the Secrets of Health: A Unified Approach to Biomarker and Clinical Data Integration Pavan Kumar Tatikonda source
presentation source		 8
PHUSE EU 2024 A programmer's introduction to modelling with proc mixed, focusing on how to debug and validate, common mistakes and how to interpret the output George Gibson source
presentation source		 6
PHUSE EU 2024 Leveraging Bayesian Posterior Probability for Analysing Treatment Effects in Clinical Trials: A Statistical Programmer's Guide Vismaya Kondassam Veedu source
presentation source		 7
PHUSE EU 2024 The Development of the CDISC eTFL Portal to Support the Adoption and Implementation of the Analysis Results Standard Bess LeRoy,
Bhavin Busa		 source
presentation source		 8
PHUSE EU 2024 Using RWD to Inform the Next Study: A Case Study [presentation] Jean-Marc Ferran source 22
PharmaSUG CN 2024 Application of I&I Late Phase in Programming Renxiang Wang source 15
PharmaSUG CN 2024 Heat Maps of Clinical Data Using SAS and R Ternence Liu source 14
PharmaSUG CN 2024 Implementation on concentration-QTc modeling Daoqing Li,
Deli Cao		 source 20
PharmaSUG 2024 ADaM Discussion Topics: PARQUAL, ADPL, Nadir Sandra Minjoe source 7
PharmaSUG 2024 Enhanced Spider Plot in Oncology Ilya Krivelevich,
Cixin He,
Binbin Zhang-Wiener,
Wenyin Lin		 source 14
PharmaSUG 2024 Implementation of composite estimands for responder analysis based on change from baseline in non-solid tumours Reshma Radhakrishnan source 11
PharmaSUG 2024 Submitting Patient-Reported Outcome Data in Cancer Clinical Trials - Guidance for Industry Technical Specifications Document [presentation] Flora Mulkey source 48
PHUSE US 2024 Accelerating Clinical Trial Submissions with Graph Theory and Log Analysis [presentation] Henning Kuich,
Tomás Sabat Stofsel		 source 42
PHUSE US 2024 Analysis of Same Objective - Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? Pradeep Acharya,
Ephicacy Lifescience		 source
presentation source		 9
PHUSE EU 2023 Increasing Trend of Biomarker Analysis in Clinical Trials Anjali Ranga source
presentation source		 11
WUSS 2023 Quality Control - Defining an Acceptable Quality Standard without Achieving Perfection Bill Coar source 9
WUSS 2023 Waterfall vis a vis Spider plots: Complex oncology efficacy endpoint made simpler. Yoganand Budumuru source 21
PharmaSUG 2023 Guidelines for the Statistical Analysis in German Dossier Submissions Meiling Gao,
Xi Qian,
Hui Mao		 source 8
PharmaSUG 2023 Statistical Considerations and Methods for Handling Missing Outcome Data in Clinical Trials During the Era of COVID-19 Xi Qian,
Chengfei Lu		 source 11
PHUSE US 2023 DV-04 Unifying RECIST source
presentation source		 5
PHUSE EU 2022 Performance Traps in Multiple Imputation Analysis Using Mixed Model Repeated Measures [presentation] Piotr Karasiewicz source
video		 17
PHUSE EU 2022 Trimmed Mean Analysis Is Not Rocket Science [presentation] Kateryna Fedoryshyna source
video		 18
PHUSE EU 2022 Using Individual-level Real-world Data to Inform Disease Area Data Models Employed for Clinical Trial Simulation and Design [presentation] Sheila McCartan source
video		 41
PharmaSUG 2022 Above and Beyond Lesion Analysis Dataset (ADTL) Raghava Pamulapati source 11
PHUSE US 2022 R and its Application in Clinical Trial Data Analysis [presentation] Santosh Kumar Davuluri source
video		 21
PHUSE US 2022 Reassure Your Assumptions Using Sensitivity Analysis [presentation] Vadym Kalinichenko source
video		 29
PHUSE EU 2021 Bringing to Light - Analysis Results Metadata v1.0 for Define-XML v2 [presentation] Hrishikesh K S,
Limna Salim		 source
video		 11
PHUSE EU 2021 CDISC Analysis Results Standard Team: Enhancing Analysis Results and Traceability [presentation] Bess LeRoy,
Jeffrey M. Abolafia		 source
video		 41
PHUSE EU 2021 How Has the Immunotherapy Era Changed Response Criteria? [presentation] Anna Amosova source
video		 30
SESUG 2021 Side by Side Display of Table and Plot, Plot and Plot Hengwei Liu source 11
PHUSE US 2021 An SAS Macro for Dynamic Page Breaks [presentation] Bhavana Bommisetty,
Manohar Modem		 source
video		 13
PHUSE US 2021 Python for Visualization in Solid Tumor Studies Hengwei Liu source
video
presentation source		 10
PHUSE US 2021 Standing Room Only Presentation: DS06: CDISC Analysis Results Standard [presentation] Bess LeRoy source 25
PHUSE US 2021 Visualizing Efficacy Data from Phase II or III Randomized, Double Blind Placebo Controlled Trials [presentation] Munish Mehra source
video		 18
PharmaSUG 2021 Double Waterfall Plot Creation for Comparing Target Lesions Data Anilkumar Anksapur,
Raghava Pamulapati		 source 9
PharmaSUG 2021 SAS Proc Mixed: A Statistical Programmer-s Best Friend in QoL Analyses Janaki Devi Manthena,
Varsha Korrapati,
Chiyu Zhang		 source 9
PharmaSUG 2021 When Should I Break ADaM Rules? Sandra Minjoe source 8
PHUSE EU 2020 Define-XML for ADaM: Clinical Standards Toolkit vs. Pinnacle 21? [presentation] Frederikke Høyer source
video		 16
PHUSE EU 2020 Enabling Novel Digital Endpoints in Clinical Trials for Regulatory Purposes: Bringing Efficiency to the Industry by Creating a Service-based Ecosystem [presentation] Bert Hartog,
Kai Langel		 source
video		 14
PHUSE EU 2020 How to Act with Actigraphy Data [presentation] Subhamoy Bhattacherjee source
video		 13
PharmaSUG 2020 Oncology Graphs-Creation (Using SAS and R), Interpretation and QA Taniya Muliyil source 10
PharmaSUG 2020 r2rtf - an R Package to Produce Rich Text Format (RTF) Tables and Figures Siruo Wang,
Keaven Anderson,
Yilong Zhang,
Simiao Ye		 source 15
PHUSE US 2020 Titles Are a Programmer's Best Friend Gregory Nunn source
poster source		 5
PHUSE EU 2019 Analysis of crossover studies in patient narratives Rebecca Lyzinski source
presentation source		 6
PHUSE EU 2019 Multiple imputation as a valid way of dealing with missing data Vadym Kalinichenko source
presentation source		 11
PHUSE EU 2019 Optimise PRO Data Analysis with an Interactive Approach Tadeusz Lewandowski source
presentation source		 9
PHUSE EU 2019 Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis Jeffrey M. Abolafia,
Priya Gopal,
Samuel Hume		 source
presentation source		 12
SESUG 2019 Cutting Out the Middle Man - Bypassing ADaM to Calculate Tumor Response Inputs using RECIST 1.1 Guidelines and Collected Data in SDTM Format Response Inputs source 6
SESUG 2019 ePRO: A View from Statistical Programmer Vijetha Kode,
Saigovind Chenna		 source 18
SESUG 2019 Interactive Graphs Kriss Harris source 24
MWSUG 2019 Interactive Graphs Richann J. Watson,
Kriss Harris		 24
WUSS 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
PharmaSUG 2019 From Lesion size to Best Response - Implementing RECIST through programming Ankit Pathak source 12
PharmaSUG 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
PharmaSUG 2019 SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials Lingling Li source 11
SGF 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 23
PHUSE US 2019 Effective Presentations of CTCAE-graded Laboratory Data William Coar,
Amber Randall		 source
presentation source		 7
PHUSE US 2019 Efficacy Endpoint Visualization of Investigational Products for Cancer Patients Using R Shiny Beverly Martinez,
Mukul K Mittal		 source
presentation source		 12
PHUSE US 2019 Interactive Visualization of SEND Clinical Pathology Data Using R Shiny Kevin Snyder source
presentation source		 8
PHUSE US 2019 Optimize PRO Data Analysis with an Interactive Approach Xiangyun Wang,
Elisabeth Piault-Louis		 source
presentation source		 8
PHUSE US 2019 Optimizing Over Time Plots Via Analytics Kishore Pothuri,
Mayank Choudhary		 source
poster source		 5
PHUSE US 2019 Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis Priya Gopal source
presentation source		 12
PHUSE US 2019 Visualizing Oncology Data Through Interactive Dashboards Vikram Chanduri,
Bhavin Busa		 source
presentation source		 5
SCSUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
PHUSE EU 2018 A Case Study of Fitting Time-dependent Covariates in Cox Model Using SAS Pankaj Kumar source
presentation source		 5
PHUSE EU 2018 Automated Creation of Submission-Ready Artifacts [presentation] Silas McKee,
Lourdes Devenney		 source 15
PHUSE EU 2018 Program Validation - Care for a Black Sheep Andrea Weber source
poster source		 8
PHUSE EU 2018 The Oncology-specific Domains TU, TS and RS: What to Know as a Statistical Analyst Frieder Wolff,
Vitali Gering		 source
presentation source		 8
SESUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
MWSUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 18
MWSUG 2018 Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation Richann J. Watson 15
MWSUG 2018 Baseline Mean Centering for Analysis of Covariance (ANCOVA) Method of Randomized Controlled Trial Data Analysis Jennifer Scodes 6
WUSS 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
WUSS 2018 How sensitive is your analysis? A case study on addressing it at ADaM level. Bhargav Koduru,
Balavenkata Pitchuka		 source 7
PHUSE US 2018 ADaM Intermediate Dataset: How to Improve Your Analysis Traceability Angelo Tinazzi,
Ashish Aggarwal		 source
presentation source		 12
PharmaSUG 2018 Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation Richann J. Watson,
Karl Miller		 source 18
PharmaSUG 2018 Creating an ADaM Data Set for Correlation Analyses Chad W. Melson source 11
PharmaSUG 2018 Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies Kelci J. Miclaus,
Lili Li		 source 12
PharmaSUG 2018 Using JMP Scripting Language (JSL) to create an application interface for automated analysis of Lab Data in Clinical Trial Dongsun Cao source 11
SGF 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 15
PHUSE EU 2017 Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS Yirong Cao,
Siory Traoré		 source
presentation source		 11
PHUSE EU 2017 Implementation of CDISC ADaM and Pharmacodynamics Françoise Frérart,
Joanna Magielse		 source
presentation source		 5
PHUSE EU 2017 Interactive Oncology Tumour Dashboard Félix Jaminion source 2
PHUSE EU 2017 The Impact of Regulations on Immuno-OncologySubmissions Geoffrey A. Mann source
presentation source		 8
PHUSE EU 2017 Visualizing Multiple Endpoints: Extending the Use of Forest Plots in Clinical Trials James R. Johnson,
Mark Jaros		 source
presentation source		 10
MWSUG 2017 Waterfall Plots in Oncology Studies in the Case of Multi-Arms Design Ilya Krivelevich,
Kalgi Mody,
Simon Lin		 15
WUSS 2017 Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation Richann J. Watson,
Karl Miller		 source 15
PharmaSUG 2017 Translating Statistics into Knowledge by Examples Using SAS Graphic Procedures Tao Shu,
Jianfei Jiang		 source 11
SESUG 2016 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
PHUSE EU 2016 Standard Methods for Analysis and Reporting of VAS or NRS Derived Pain Relief Response Scores James R. Johnson source
presentation source		 14
PharmaSUG 2016 Implementation of ADaM Basic Data Structure for Cross-over Studies Songhui Zhu source 10
PharmaSUG 2016 Novel Programming Methods for Change from Baseline Calculations Mina Chen,
Peter W. Eberhardt		 source 7
PharmaSUG 2016 Programming Support for Exposure-Response Analysis in Oncology Drug Development Peter Lu,
Hong Yan		 source 8
PharmaSUG 2016 Superior Highlighting: Identifying New or Changed Data in Excel Output using SAS Kim Truett source 8
PharmaSUG CN 2015 Approaches to Missing Data in the Analysis of SpondyloArthritis International Society (ASAS 20) Response and the Creation of the Related CDISC Compliant Analysis Datasets Christine Joy Dureza 12
PharmaSUG CN 2015 SAS Longitudinal Data Techniques - From Change from Baseline to Change from Previous Visits Chao Wang 5
PharmaSUG CN 2015 The Application of Tolerance Interval in Defining Drug Response for Biomarker Jing Pan 7
PharmaSUG 2015 Analysis Methods for a Sequential Parallel Comparison Design (SPCD) Harry Haber,
James Zuazo,
Linda LaMoreaux		 source 11
PharmaSUG 2015 Proper Parenting: A Guide in Using ADaM Flag/Criterion Variables and When to Create a Child Dataset Richann J. Watson,
Karl Miller,
Paul K. Slagle		 source 10
SESUG 2014 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
PHUSE EU 2014 Biomarker as Essential Part of Clinical Development Renuka Chinthapally source
presentation source		 7
PHUSE EU 2014 Multiple Imputation: Better than Single Imputation in Pain Studies Ashik Chowdhury source
presentation source		 12
PHUSE EU 2014 Using SAS Arrays Ruurd Bennink source
presentation source		 7
PharmaSUG 2014 Challenges of Processing Questionnaire Data from Collection to SDTM to ADaM and Solutions Using SAS Karin LaPann,
Terek J. Peterson		 source 20
PharmaSUG 2014 Risk-Based Approach to Identifying and Selecting Clinical Sites for Sponsor's Preparation for FDA/EMA Inspection Xiangchen (Bob) Cui source 21
SGF 2014 Challenges of Processing Questionnaire Data from Collection to SDTM to ADaM and Solutions Using SAS Karin LaPann,
Terek J. Peterson		 source 19
PHUSE EU 2013 Bayesian Statistics: Concept and Bayesian Capabilities in SAS Mark Janssens source
presentation source		 15
PHUSE EU 2013 Report Inspector Vibhavari Inamdar source
presentation source		 11
PHUSE EU 2013 Thorough QTc Studies: Patients at Heart... Marc Derycke,
Jeans-Otto Andreas		 source 7
PHUSE EU 2013 Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis Imgard Hollweck source
presentation source		 9
PharmaSUG 2013 A Picture is worth 3000 words!! 3D Visualization using SAS Suhas R. Sanjee source 6
PharmaSUG 2013 How MEAN is T-test? Naina Pandurangi source 4
PHUSE EU 2012 Misinterpretation of Statistics - An Introduction John Salter source
presentation source		 9
PharmaSUG 2012 "Analysis-ready" - Considerations, Implementations, and Real World Applications Ellen (Zihui) Lin,
Beiying Ding		 source 6
PharmaSUG 2012 Graphical Outputs for Efficacy Analyses Using SAS/GRAPH SG Procedures David A Collins source 7
PharmaSUG 2012 PROGRAMMER'S SAFETY KIT: Important Points to Remember While Programming or Validating Safety Tables Sneha Sarmukadam,
Sandeep Sawant		 source 11
PharmaSUG 2012 Streamlining Regulatory Submission with CDISC/ADaM Standards for Non-standard Pharmacokinetic/Pharmacodynamic Analysis Datasets Xiaopeng Li,
Katrina E. Canonizado,
Chun Feng,
Nancy Wang		 source 6
PharmaSUG 2012 Waterfall Charts in Oncology Trials - Ride the Wave Niraj J. Pandya source 8
PHUSE EU 2011 Extension of the Six Steps Approach: How to go from an SDTM finding domain to an ADaM-compliant AD Carl Herremans,
Qian Wang		 source
poster source		 5
NESUG 2011 PROC REPORT: Various Reporting Layouts in Clinical Study Reports and Advance Techniques Santosh Bari 6
NESUG 2011 Repeating Statistics Tables - Building A Macro that Dynamically Organizes and Formats Wayne (Weizhen) Zhong 6
PharmaSUG 2011 From SAP to BDS: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 source 9
PharmaSUG 2011 Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures Bohdana Ratitch,
Michael O'Kelly		 source 10
PharmaSUG 2011 Macro to Generate Summary and Descriptive Statistics Tables Yogesh Pande source 6
WUSS 2010 Clinical Graphs using ODS Graphics Sanjay N. Matange source 25
WUSS 2010 Practical Uses of the DOW Loop Richard R. Allen source 10
SESUG 2010 A Taste of ADaM Beilei Xu source 9
PharmaSUG 2010 Data Annotations in Clinical Trial Graphs Sudhir Singh 10
PharmaSUG 2010 From SAP to ADaM: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 9
PharmaSUG 2010 How to build ADaM from SDTM: A real case study Jian Hua (Daniel) Huang 12
PharmaSUG 2010 The CDISC/FDA Integrated Data Pilot: A Final Summary of Findings, Reviewer Feedback, and Recommendations Implementing CDISC Standards Within and Across Studies Chris Decker 20
PharmaSUG 2010 Using SAS to Compute Partial Correlation Jianxin Lin,
Aiming Yang,
Arvind Shah		 5
SGF 2010 Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop Bradford J. Danner,
Steven R. Kirby		 source 8
PHUSE EU 2009 Implementation of ADaM standards NOT driven by a submission Karin Fleischer source
presentation source		 7
PHUSE EU 2009 Medical Data Review in Exploratory Drug Development Michaela Jahn,
Joshua Haznedar		 source
presentation source		 21
PHUSE EU 2009 Requirements, Specifications and Programming - How to ... cooperate with Statisticians in an effective way ... accelerate the production of report objects ... create technical specifications out of programs Christoph Ziegler source
presentation source		 8
NESUG 2009 A Generalized Procedure to Create SAS/Graph Error Bar Plots Sanjiv Ramalingam 10
PharmaSUG 2009 Converting the define.xml to a Relational Database to Enable Printing and Validation [presentation] Lex Jansen 76
PharmaSUG 2009 Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop Bradford J. Danner,
Steven R. Kirby		 8
PharmaSUG 2009 Modeling the Treatment Effect on a Median of a Percent Change from Baseline in a Log-normal Variable Using SAS PROC NLMIXED Aiming Yang 5
PharmaSUG 2009 One-Step Change from Baseline Calculations Nancy Brucken 5
SGF 2009 One-Step Change from Baseline Calculations Nancy Brucken source 4
PHUSE EU 2008 .. but there are no ERROR messages in the LOGs Shafi Chowdhury source 11
MWSUG 2008 One-Step Change from Baseline Calculations, and Other DOW-Loop Tricks Nancy Brucken 8
PharmaSUG 2008 One-Step Change from Baseline Calculations Nancy Brucken 5
NESUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS - Part 2 Vincent DelGobbo 19
SESUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
MWSUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
WUSS 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
PNWSUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
PharmaSUG 2007 Automatic Creation of Analysis Datasets for Clinical Trials - A Macro Program John H. Adams 17
PharmaSUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
PharmaSUG 2007 Implementing Worst Rank Imputation Using SAS Qian Wang,
Eric Qi		 10
SGF 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
SGF 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
PHUSE EU 2006 Basic Statistics and Commonly Encountered Statistical Tests for Statistical Programmers Maria Efstathiou source 12
PHUSE EU 2006 Challenges Involved in the Integration of Clinical Study Data Ryan DeCosta source 3
PHUSE EU 2006 The Power of RETAIN Statement in Clinical Trial Programming by Examples Baoxian Lan source 5
WUSS 2006 Have It Both Ways: Macros that Produce Publication-Quality Tables and Stand-alone Code Linda Collins,
Lisa Kaye Brooks,
Michael Rea,
Alan Hopkins		 source 19
PharmaSUG 2006 CFB: A Programming Pattern for Creating "Change from Baseline" Datasets Lei Zhang 12
PharmaSUG 2006 Page Breaks: Simple and Effective Ways to Neatly Present Data Suzanne M. Humphreys 9
SUGI 2006 Constructing Stack Tables with Magic %GluePlus (Another User-Defined Macro for Creating Stack Tables) Lei Zhang,
George Li		 source 12
PHUSE EU 2005 A Practical Introduction to the Bootstrap Using the SAS System Nancy Barker source 17
PHUSE EU 2005 Customer oriented CDISC implementation Edelbert Arnold,
Ulrike Plank		 source
poster source		 13
PharmaSUG 2005 Analyzing and Displaying Study Data in Clinical Trials Made Easy Denise J. Smith 15
PharmaSUG 2005 Constructing Stack Tables With Proc Report and ODS RTF Lei Zhang 11
PharmaSUG 2004 CDX - clinical data management and report programming environment Gunilla Sköllermo,
Pål Edman		 7
PharmaSUG 2004 Generating Least Square Means, Standard Error, Observed Mean, Standard Deviation and Confidence Intervals for Treatment Differences using Proc Mixed Richann J. Watson 12
SCSUG 2003 Elementary Statistics Using Base SAS Deborah B. Buck 9
NESUG 2003 Presenting Lab Data Using AF and Spreadsheet Template Haibin Shu 5
PharmaSUG 2003 A Reporting Macro to Create Descriptive Statistical Summary Tables Ellen Forman 4
PharmaSUG 2003 Sneak Peek: Previewing Blinded Study Results Amy Rhoads Underwood 4
PharmaSUG 2002 Discriminant Analysis (PROC DISCRIM) to Separate a Study Population by Treatment Subgroups in a Clinical Trial with a New Antidepressant Lev Sverdlov,
Park Ridge		 6
PharmaSUG 2002 Two Step Approach to Automatically Generate ESTIMATE Statements for Pair-wise Treatment Comparisons Eric Qi,
Guanghan (Frank) Liu		 4
SUGI 2001 The FASTCLUS Procedure as an Effective Way to Analyze Clinical Data Lev Sverdlov source 7
NESUG 1999 The Results of Cluster Analysis of Clinical Data Using the Fastclus Procedure Lev Sverdlov,
John F. Noble,
Gabriela Nicolau		 9
NESUG 1998 Fasclus Procedure To Identify Subtypes Within A Study Population Following Treatment With A New Antidepressant Drug Lev Sverdlov 5
SUGI 1997 Use of PROC MIXED in the Analysis of Repeated Measures Data from a Clinical Trial in Obsessive Compulsive Disorder William Bushnell,
Martin Steiner		 source 6
SUGI 1996 Creating a Graph 'from an ASCII File That was Used to Populate a Word Processing Table Lori D. Griffin source 10
SESUG 1995 Information Visualization Hacros, Annotate and BAS Graph the Basy Way Michael Keohan,
E. Hanover		 8
SUGI 1992 Determination of Response Surface Function Using Repeated Measures Denise M. Moyse,
David Henry,
Hong-Jiong Shi,
Robert S. Boger,
Clement Maurath		 source 6
SUGI 1991 A Program for Outputting P Values and Confidence Intervals in an Analysis of Variance without the Use of the GLM or PR/NTTO Procedures Susan Foley Anton,
Joseph J. Andary		 source 6
SUGI 1983 Within-Drug Changes in a Multicenter Clinical Trial and Their Applications .. Harji I. Patel source

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