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94 papers and 7 presentations; 94 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 CN 2026 Clarity: An AI-Powered Shiny Application for Natural Language-Driven Clinical Data Analysis Jinzhi Zhou,
Yusi Liu,
Dan Su,
Jie Liu		 source 14
PharmaSUG 2026 A Standardized R Graph Library for Production-Ready Analysis Figures Chunting Zheng,
Margaret Huang,
Xindai Hu		 source 19
PharmaSUG 2026 Path to Consistent Clinical Graphics: An R Shiny Gallery Michelle Harwood,
Austin Taylor		 source 12
PharmaSUG 2026 Streamlining Workflows in Real-World Evidence Studies with an R-Based Automation Tool Lihai Song source 16
PHUSE US 2026 An RShiny App for Real-Time Continuous Safety Monitoring in Post-POC Trials: A Bayesian Approach to Decision-Making Jinquan Wu source
presentation source		 11
PHUSE APAC 2026 From Data to Digital Phenotypes: Modelling High-Dimensional PROs and Actigraphy Data in Decentralized Psychiatric Trials Sakshi Kaushik source
presentation source		 14
PHUSE APAC 2026 MetaSuite: Empowering Network Meta-Analysis in Clinical Research Through Interactive Visualizations and User-Friendly Evidence Synthesis Tools Hirak Sen Roy source
poster source		 12
PHUSE EU 2025 Interactive Insights: Leveraging R Shiny for Enhanced Data Visualisation in Clinical Trial Readouts [presentation] Carolyn Fisher,
Elisabeth Deutschmann		 source 20
SESUG 2025 Building Complex Graphics from Simple Plot Types Dan Heath 17
SESUG 2025 Versatile Graphic Presentation of Immunogenicity Analysis Results in Vaccine Studies with a Macro that Creates Multiple Forest Plots in One Output Hong Wang 9
WUSS 2025 The Role of Congruity and Gendered Leadership Expectations in Higher Education: A Meta-Analysis of Bias and Leadership Evaluations Among Women Leaders Mehrnoosh Golshahifar source 13
PharmaSUG 2025 Zero to Hero: The Making of a Comprehensive R Shiny Figures App Yi Guo,
Matthew Salzano,
Nicholas Sun,
Sean Healey		 source 30
PHUSE EU 2024 Revolutionising Literature Reviews with a GPT-Assisted Tool: Enhanced Search, Extraction and Visualisation Yingjia Chen,
Martin Schaerer		 source
presentation source		 12
PharmaSUG CN 2024 An Efficient R Shiny App for Exposure-Response Relationship (E-R) Analysis in Oncology Drug Development Zhenghao Chu source 28
PharmaSUG 2024 Building Complex Graphics from Simple Plot Types Dan Heath source 17
PHUSE US 2024 Constructing Multilingual Visualisation Toolsets for Clinical Study Reports and Submission Jane X. Liao,
Bingjun Wang		 source
presentation source		 13
PharmaSUG 2023 Generating Clinical Graphs in SAS and R - A Comparison of the Two Languages Kriss Harris,
Endri Elnadav		 source 48
PharmaSUG 2023 Meta-Analysis in R Lin Gu source 8
PharmaSUG 2023 SAS Macro Design Considerations to Generate Subgroup Table and Forest Plot in Oncology Studies Yizhuo Zhong,
Christine S Teng		 source 10
PHUSE US 2023 FORESTLY - An R Package to Generate Interactive Forest Plots Bingjun Wang,
Yilong Zhang		 source
presentation source		 14
PHUSE US 2023 Interactive Data Visualisation: A Tool for Common Clinical Study Figures and SAP Figure Shells Ji Qi,
Qisen Luan		 source
presentation source		 10
PHUSE US 2023 The FiguRes Package for Supporting Large Scale Figure Production with Applications to Clinical Trial Reporting Efforts Greg Cicconetti source
presentation source		 19
PHUSE EU 2022 Veranet: R Shiny Meets Network Meta-Analysis and Data Visualisation [presentation] Anton Schönstein source
video		 21
PharmaSUG 2022 Generating Forest and Kaplan Meier graphs for Regulatory Submission: Comparison of SAS and R Girija Javvaji,
Sivasankar Konda		 source 6
PHUSE US 2022 Generating Statistical Figures for Regulatory Submission: Comparison of SAS and R Girija Javvaji,
Sivasankar Konda		 source
video
presentation source		 11
PHUSE US 2022 Using the Nest-map-unnest Workflow in R for Sub-group Analysis in Clinical Trial Reporting [presentation] Mia Qi,
Sheng-Wei Wang		 source
video		 12
PHUSE EU 2021 Comparison of PROC REPORT SAS and FLEXTABLE Package of R [presentation] Abu Zafar Mohammad Sami source
video		 23
PHUSE EU 2021 Programming Techniques to Enhance the Presentation of Forest Plot with SAS 9.4 [presentation] Zhen (Laura) Li source
video		 18
PHUSE US 2021 Graphs Made Easy Using SAS Graph Template Language Manohar Modem source
video
presentation source		 27
PHUSE US 2021 Python for Visualization in Solid Tumor Studies Hengwei Liu source
video
presentation source		 10
PharmaSUG 2021 Graphs Made Easy Using SAS Graph Template Language Manohar Modem,
Bhavana Bommisetty		 source 31
PharmaSUG 2021 Using SAS for Forest Plots in AMNOG Meta-Analysis Reporting Jian-An Lu,
Jinwei Yuan		 source 10
PHUSE EU 2020 Super Static SG Graphics [presentation] Kriss Harris source
video		 24
PharmaSUG 2020 %MVMODELS: a Macro for Survival and Logistic Analysis Jeffrey P. Meyers source 23
PharmaSUG 2020 Enhanced Visualization of Clinical Pharmacokinetics Analysis by SAS GTL Min Xia source 9
PharmaSUG 2020 Risk-based and Exposure-based Adjusted Safety Incidence Rates Qiuhong Jia,
Fang-Ting Kuo,
Chia-Ling (Ally) Wu,
Ping Xu		 source 8
PHUSE US 2020 Good Cooperation Between SAS and R for Regulatory Submission Jingyuan Chen source
presentation source		 8
PHUSE US 2020 Visualizing the Complexities of Genomics Datasets Vibha Raghavan source
presentation source		 7
PharmaSUG 2019 An Innovative Efficacy Table Programming to Automate Its Figure Generation to Ensure Both High Quality and Efficiency Xiangchen (Bob) Cui,
Letan (Cleo) Lin		 source 23
PharmaSUG 2019 Build Popular Clinical Graphs using SAS Sanjay N. Matange source 18
PharmaSUG 2019 F2Plots: Visualizing relative treatment effects in cancer clinical trials Yellareddy Badduri source 9
PharmaSUG 2019 Forest Plots for Beginners Savithri Jajam,
Olesya Masucci		 source 9
PharmaSUG 2019 Useful SAS techniques in Efficacy Analysis for Oncology studies Joy Zeng source 21
PharmaSUG 2019 Using Real-World Evidence to Affect the Opioid Crisis Sherrine Eid,
Andrea Coombs		 source 10
SGF 2019 Three ways to add texts to graphics in Proc Sgplot Yaqi Jia source 9
PHUSE US 2019 Interactive Exploratory Analysis and Visualization for Late-phase Clinical Data Sheng-Wei Wang,
Casey Yang		 source
presentation source		 9
PHUSE EU 2018 Forest Plots in Survival Subgroup Analyses Michael Brockmann,
Julia Benzing		 source
presentation source		 11
MWSUG 2018 Spotfire Clinical visualizations from SAS and R Zeqing Lu,
Hillary Graham,
Jessica Chen		 4
PHUSE US 2018 How ODS GRAPHICS INFRASTRUCTURE can be Used in Statistical Analysis Harivardhan Jampala source
presentation source		 16
PHUSE US 2018 Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry Michael S Rimler,
Jorine Putter		 source
presentation source		 8
PHUSE US 2018 Unleashing Potential of Graphs for Oncology Trials Manoj Pandey source
presentation source		 12
PharmaSUG 2018 Advanced Clinical Graphs using Axis Tables Sanjay N. Matange source 11
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
SGF 2018 Advanced Graphs Using Axis Tables Sanjay N. Matange source 12
PHUSE EU 2017 Visualizing Multiple Endpoints: Extending the Use of Forest Plots in Clinical Trials James R. Johnson,
Mark Jaros		 source
presentation source		 10
PharmaSUG 2017 How to Create a Journal-Quality Forest Plot with SAS 9.4 John R. O'Leary,
Warren F. Kuhfeld		 source 11
PHUSE EU 2016 Clinical Graphs Using SAS Sanjay N. Matange source
presentation source		 12
PharmaSUG 2016 Clinical Graphs Using SAS Sanjay N. Matange source 19
SGF 2016 A Prompted Application to Easily Create Forest Plots and Inner Margin Tables Ted Durie source
zip		 21
SGF 2016 Clinical Graphs Using SAS Sanjay N. Matange source
zip		 20
MWSUG 2015 Plotting LSMEANS and Differences in Generalized Linear Models with GTL Robin High 9
SESUG 2015 MIXED_RELIABILITY: A SAS Macro for Estimating Lambda and Assessing the Trustworthiness of Random Effects in Multilevel Models Jason A. Schoeneberger,
Bethany A. Bell		 source 10
PharmaSUG 2015 An Enhanced Forest Plot Macro Using SAS Janette Garner source 9
PharmaSUG 2015 Forest Plots: Old Growth versus GMO (Genetically Modified Organism) Scott Horton source 12
SGF 2015 Forest Plotting Analysis Macro %FORESTPLOT Jeffrey P. Meyers,
Qian Shi		 source 18
SGF 2015 Getting Your Hands on Reproducible Graphs Rebecca Ottesen,
Leanne Goldstein		 source 19
SGF 2015 Graphs Are Easy with SAS 9.4 Sanjay N. Matange source
zip		 15
SGF 2015 Lost in the Forest Plot? Follow the Graph Template Language AXISTABLE Road! Prashant Hebbar source
zip		 11
SESUG 2014 Evaluating Additivity of Health Effects of Exposure to Multiple Air Pollutants Given Only Summary Data Pollutants Given source 9
MWSUG 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange 20
WUSS 2014 Analyzing Alcohol Behavior of San Luis Obispo County [presentation] Ariana Montes 6
PharmaSUG 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange source 20
SGF 2014 Plotting Differences Among LS-means in Generalized Linear Models Robin High source 14
SGF 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange source 20
PHUSE EU 2013 Efficacy Endpoints in Oncology Angelo Tinazzi source 9
PHUSE EU 2013 Oncology Endpoints: An Unexpected Journey Waseem Jugon,
Mijanur Rahman		 source 12
PharmaSUG 2013 Creating High Quality Statistical Graphs for Publications Kriss Harris source 8
SGF 2013 Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP Richard C. Zink source 13
NESUG 2012 A Practical Application of PROC GPLOT and PROC GCHART and Annotate to Clinical Trial Data Tulin Shekar 7
WUSS 2012 A SAS Macro for Displaying Institutional Risk-Adjusted Performance: Forest vs. Funnel Plots Zhongmin Li,
Geeta Mahendra		 source 13
WUSS 2012 Now You Can Annotate Your Statistical Graphics Procedure Graphs Dan Heath source 18
PharmaSUG 2012 Graphical Outputs for Efficacy Analyses Using SAS/GRAPH SG Procedures David A Collins source 7
WUSS 2011 Now You Can Annotate Your Statistical Graphics Procedure Graphs Dan Heath source 18
WUSS 2011 Tips and Tricks for SG Procedures and GTL for Clinical Graphs Sanjay N. Matange source 16
PharmaSUG 2011 A Modular Approach of Reporting Meta Analysis Statistics Using Forest Plots Vikash Jain source 8
PharmaSUG 2011 Creating Forest Plots Using SAS/GRAPH and the Annotate Facility Amanda Tweed source 7
PharmaSUG 2011 Tips and Tricks for Clinical Graphs using ODS Graphics Sanjay N. Matange source 16
SGF 2011 Now You Can Annotate Your Statistical Graphics Procedure Graphs Dan Heath source 18
SGF 2011 Tips and Tricks for Clinical Graphs using ODS Graphics Sanjay N. Matange source 16
PHUSE EU 2010 Forest Plots and SAS Anne Barfield source 5
PharmaSUG 2010 Graphics Annotation: Tricks to determine the coordinates while using graphics/procedure output area as coordinate systems value Sandeep Sawant 8
SGF 2010 Creating Forest Plots from Pre-computed Data Using PROC SGPLOT and Graph Template Language Zoran Bursac source 9
SGF 2009 GTL (Graphics Template Language) in SAS 9.2 Philip R. Holland source 8
PHUSE EU 2008 GTL (Graphics Template Language) in SAS 9.2 Philip R. Holland source 8
PHUSE EU 2008 Run Forest ! Run ! Create a flexible Forest Plots with SAS Enterprise Guide. Emmanuel Bourmaud source 12
PHUSE EU 2007 A gentle introduction to Meta-analysis Angelo Tinazzi,
Jayne Tierney		 source 8
SESUG 2006 PO04 PUB_BIAS: A SAS Macro for Detecting Publication Bias,
Gianna Rendina-Gobioff,
Jeffrey D. Kromrey		 source 17
SUGI 2006 Problems Commonly Associated with Forest Plots Addressed Using High Resolution Graphics in SAS Gary A. Foster,
Charles H. Goldsmith		 source 8

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