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78 papers and 5 presentations; 79 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 A Comprehensive R Shiny Application for Pharmacokinetic Analysis Keyi Zhang source 17
PharmaSUG CN 2026 An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub Zhiping Yan source 28
PharmaSUG 2026 DOSEON: Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (PROC SQL, SAS Macro, DATA Step, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source 39
PHUSE US 2026 Accelerating Study Insights: Agile Data Visualisation Using R-Shiny Lin Yuan,
Heather Howell		 source
presentation source		 6
PHUSE US 2026 AI-Augmented Bayesian Methods for Late-Onset Toxicity in Early-Phase Trials Rachana Lele,
Arfan Afzal		 source
presentation source		 8
PHUSE US 2026 Around the Data DOSE-y Doe: Using DOSExx Variables within ADaM Datasets Inka Leprince,
Richann J. Watson		 source 10
PHUSE US 2026 Data Harmonisation for ISS and ISE: A Practical Checklist for Integration Success Qiong Wei,
Lily Cheng		 source
presentation source		 10
PHUSE US 2026 Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (DATA Step, PROC SQL, SAS Macro, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source
presentation source		 32
PHUSE APAC 2026 Beyond Toxicity : Accelerating Dose -Finding with Pharmacokinetic -Driven Bayesian Design PKBOIN-12 Anetta Mary Xavier source
presentation source		 13
SESUG 2025 Efficacy + Safety in Phase 1/2 Immunotherapy Oncology Trials: OBD vs. MTD Ron Smith 8
WUSS 2025 Around the Data DOSE-y Doe, How Much Fun Can Your Data Can Be: Using DOSExx Variables within ADaM Data Sets Inka Leprince,
Richann J. Watson		 source 13
PharmaSUG 2025 A Step-by-Step Guide to Calculating Relative Dose Intensity in Solid Tumor Studies Yan Xu,
Pingping Xia,
Jagadesh Mudapaka		 source 6
PHUSE US 2025 Role of PK/PD, Biomarker Analysis in the Expansion of Phase 1 Trials Lavanya Peddibhotla source
presentation source		 7
PharmaSUG CN 2024 Application of I&I Late Phase in Programming Renxiang Wang source 15
PharmaSUG CN 2024 Implementation on concentration-QTc modeling Daoqing Li,
Deli Cao		 source 20
PharmaSUG 2024 Around the Data DOSE-y Doe, How Much Fun Can Your Data Can Be: Using DOSExx Variables within ADaM Data Sets Inka Leprince,
Richann J. Watson		 source 12
PharmaSUG 2024 Relative Dose Intensity in Oncology Trials: A Discussion of Two Approaches Christiana Hawn,
Dhruv Bansal		 source 5
PHUSE US 2024 A Programmer's Perspective on Navigating the Hurdles of Investigator-Sponsored Research (ISR) Trials Jyotsna Lakshmikumar source
presentation source		 6
PHUSE US 2023 Common Sample Size Calculations for Phase I/IIa Clinical Trials [presentation] Aayush Bhoraskar source
video		 13
PHUSE EU 2022 Modelling Electrocardiogram Waveform Interpretations for SEND Submissions [poster] Jack Baker source 1
PharmaSUG 2022 Standardizing Procedures for Generating Dose Proportionality Figures to Improve Programming Efficiency Jianli Ping,
Krishna Sivakumar		 source 11
PHUSE US 2022 Programming and Reporting on a Master Protocol in Cell and Gene Therapy Rabia Ahmad,
Amit Jain		 source
video
presentation source		 10
PHUSE EU 2021 Standing Room Only: SA07: Programming Pooled Safety Data for Ongoing Oncology Submissions [presentation] Sarah Berenbrinck source 36
PHUSE EU 2021 Transforming Reporting - A Journey into Web Technology for Listing Generation [presentation] Joseph Rowley,
Kartik Rajan		 source
video		 23
PHUSE US 2021 Automation of Patient Narratives Using Natural Language Generation [presentation] Sam Tomioka,
Shiva Katepalli		 source
video		 16
PharmaSUG 2021 Making Customized RTF Output with R Package r2rtf Huei-Ling Chen,
Heng Zhou,
Madhusudhan Ginnaram,
Yilong Zhang		 source 12
PharmaSUG 2020 Trial Sets in Human Clinical Trials Fred Wood source 13
PHUSE EU 2019 Dose-finding Schemes in Clinical Trials Michael Brockmann source
presentation source		 15
SESUG 2019 Who, When, and Where - A Step-by-Step Approach to Creating a Color-Coded Tracker for Clinical Trial Subjects Venita DePuy source 18
WUSS 2019 Polynomial Regression for Modeling Curvilinear Data: A Biological Example Elisha Johnston source 20
PharmaSUG 2019 Application of R Functions in SAS to Estimate Dose Limiting Toxicity Rates for Early Oncology Dose Finding Huei-Ling Chen,
Zhen Zeng		 source 9
PHUSE US 2019 Graphical Examination of PK Parameters Versus Dose-in-Dose Escalation Trials using SAS GTL Chiu Tsang,
Hima Bhatia		 source
poster source		 9
PHUSE US 2019 Modeling Safety Pharmacology Study Designs in SEND: An Analysis of a Proof-of-Concept Dataset Kevin Snyder source
presentation source		 5
SCSUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach source 15
SESUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach,
Keith J. Brown		 source 15
PharmaSUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels Keith J. Brown,
John R. Gerlach		 source 15
PharmaSUG 2018 PK Data Explained Timothy J. Harrington source 9
PharmaSUG 2018 SDTM EX and EC: Considerations When Submitting Exposure Data Jerry Salyers,
Kristin Kelly		 source 8
PharmaSUG 2017 The CDISC SDTM Exposure Domains (EX & EC) Demystified. How EC Helps You Produce A Better (more compliant) EX. Thomas Guinter source 9
PharmaSUG 2016 A Dose Escalation Method for Dual-Agent in Phase 1 Cancer Clinical Trial using the SAS MCMC Procedure Gwénaël Le Teuff,
Mohamed Amine Bayar		 source 14
PHUSE EU 2015 Establish the Maximum Tolerated Dose in Phase 1 Trials Using the 3+3 Method Anup Pillai source
presentation source		 12
PHUSE EU 2015 Understanding SE, TA, TE Domains Jacques Lanoue source
presentation source		 4
PharmaSUG 2015 Understanding SE, TA, TE Domains Jacques Lanoue source 4
SGF 2015 Adaptive Randomization Using PROC MCMC Qianyi Huang,
John Amrhein		 source 13
PHUSE EU 2014 Drug Exposure Plot: Tailored Approach to Display Ongoing Data Mathias Lebreton source
presentation source		 12
SESUG 2013 Imputing Dose Levels for Adverse Events John R. Gerlach,
Igor Kolodezh		 source 8
PharmaSUG 2013 Imputing Dose Levels for Adverse Events John R. Gerlach,
Igor Kolodezh		 source 8
SESUG 2012 Integration of Scientific Writing into an Applied Biostatistics and SAS Programming Course for Pharmaceutical Sciences Graduate Students Daniel L. Hertz,
Daniel J. Crona,
Jasmine Talameh,
Scott J. Brantley,
Luke Roode,
Katherine N. Theken,
J. Heyward Hull		 source 7
PharmaSUG 2012 Algorithm to Compare the Slopes (Regression Coefficients) between the subgroups in Simple/Multiple Regression using PROC REG Sandeep Sawant source 3
PharmaSUG 2012 Considerations in the Submission of Exposure Data in an SDTM-Compliant Format Fred Wood,
Jerry Salyers,
Richard Lewis		 source 4
PharmaSUG 2012 Database Tectonics: Assessing Drift in Analysis Data Brian P. Fairfield-Carter,
Jasmin Fredette		 source 10
PHUSE EU 2011 Estimation of relative potency in a 4-point parallel line assay Stefano Vezzoli source
presentation source		 11
PHUSE EU 2011 Programming for Early and Late Phase - really that different? Katherine Macey source
presentation source		 6
PHUSE EU 2008 SYMBOL TYPE AND COLOUR IN GRAPHS Diederik Pietersma source 7
PHUSE EU 2008 Visualisation & Management of First Time in Human Safety data Martin Farrimond source 7
PharmaSUG 2008 Labor-Saving SQL Constructs Brian P. Fairfield-Carter,
David W. Carr		 11
SGF 2008 Labor-Saving SQL Constructs Brian P. Fairfield-Carter,
David W. Carr		 source 10
PHUSE EU 2007 From local lab to standards and beyond Angelo Tinazzi,
Irene Corradino		 source 10
PHUSE EU 2007 WEB-TRIAGE: Application for patient registration in ph I studies Angelo Tinazzi,
Lucio Ferraresi		 source 10
PharmaSUG 2007 A Review of Propensity Score Application in Healthcare Outcome and Epidemiology Guiping Yang 24
PharmaSUG 2007 Cochran-Armitage Trend Test Using SAS Hui Liu 11
PharmaSUG 2007 Coding for Efficient Presentations: The Case of Trend Tests Karen M. Schlangen 11
MWSUG 2005 Using SAS To Assess Dose Proportionality In Dose Escalation Studies Keith Dunnigan 12
PharmaSUG 2005 Calculating Posterior Probability of the Maximum Contrast Using PROC IML Akira Wakana,
Isao Yoshimura,
Chikuma Hamada		 6
SUGI 2005 Standardization through Macros: The Possibilities of Using Indirect Referencing to Macro Variables Britta Kelsey source 8
PharmaSUG 2003 Likelihood Approach in Estimation and Testing Problems Involving Grouped Data Daniel Bonzo,
InfoVision Consultants		 8
NESUG 2002 Practice of SAS Logistic Regression on Binary Pharmacodynamic Data - Problems and Solutions Alan Xiao 5
PharmaSUG 2001 An Application of Continual Reassessment Method Using SAS System Naoki Ishizuka 4
PharmaSUG 2001 Testing the Trend of a Response Curve to an Increasing Sequence of Doses: A SAS Macro to Automate the Analysis Donghui Zhang 4
SUGI 2001 Using SAS/IML Software for Solving Non-Standard Optimization Problems in Growth Modeling and Optimal Design Inna Perevozskaya source 6
SUGI 2000 Linear and Non-linear Modeling of a Dose-Response Sofia Paul source 4
SUGI 2000 Multiple Comparisons with a Control in GEE Models Jean G. Orelien,
Jun Zhai,
Richard W. Morris		 source 6
SUGI 1999 Cross Crossover Studies Off Your List Pippa M. Simpson,
Robert M. Hamer,
Shelly Y. Lensing		 source 7
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
WUSS 1995 Using the SAS Software to Program a Simulation Study Evaluating New Designs for Phase I Clinical Trials Akiko Chai,
Tamara L. Odom-Maryon,
Chul W. Ahn,
Joyce C. Niland		 source 3
SUGI 1994 Using the Spearman-Karber Method to estimate the ED50 Art Carter source 6
SEUGI 1992 An Application Using the SAS System to Perform Williams' Test in Toxicity Studies Paolo Fina source 9
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
MWSUG 1991 Using Analysis of Variance to Analyze Toxicology Data Peggy T. Konopacki,
George W. Pasdirtz		 6
SUGI 1989 Automated Analysis of Linear-Plateau Models Damon Disch source 6
SUGI 1989 Field Reliability Assessment Using the Proportional Hazards Model Stephen Freitas,
Raymond V. Spring		 source 5
SUGI 1989 P-Value Adjustments for Multiple Tests in Multivariate Binomial Models Peter H. Westfall,
S. Stanley Young		 source 4
SUGI 1985 Application of the SAS System to Regression Analysis of Tumor Prevalence Data Saeid B. Amini,
Debra L. Palka		 source 7

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