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42 papers and 2 presentations; 33 titles.

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Conference × Year × Title × Authors Extras Pages
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 Enhancing Interpretation of Propensity Score Matching through Advanced Data Visualization in Real-World Studies KiranKumar Vyas,
Umayal Annamalai
source
presentation source
7
SESUG 2025 Here Comes the Rain (Cloud Plot) Again Bartosz Jabłoński 21
PHUSE US 2025 Advanced Clinical Data Visualisation Using Violin Plots in R Mrityunjay Kumar,
Ephicacy Lifescience
source
presentation source
14
PHUSE US 2025 Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis Navneet Jha source
presentation source
11
WUSS 2024 Here Comes the Rain (Cloud Plot) Again Bartosz Jabłoński source 21
WUSS 2023 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
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 2021 Replicating R Figures into SAS Antonio Rodríguez Contestí source
video
presentation source
26
SGF 2019 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 19
SESUG 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
MWSUG 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman 18
WUSS 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
SESUG 2016 Data Visualization Through 3-D Graphs Using SAS Graph Template Language (GTL) Venu Perla source 12
PharmaSUG 2015 Variable-Width Plot - SAS GTL Implementation Songtao Jiang source 6
SGF 2014 Graphing Made Easy with ODS Graphics Procedures Lora D. Delwiche,
Susan J. Slaughter
source 19
SGF 2014 Increase Pattern Detection in SAS Graph Template Language with New Categorical Histograms and Color-Coded Asymmetric Violin Plots [presentation] Perry Watts source 11
WUSS 2013 A Graphical Approach to Advise an Appropriate Statistical Analysis Bret Moulton,
Robin Jeffries
source 7
MWSUG 2013 Increase Pattern Detection in SAS GTL with New Categorical Histograms and Color Coded Asymmetric Violin Plots Perry Watts 11
NESUG 2013 Increase Pattern Detection in SAS GTL with New Categorical Histograms and Color Coded Asymmetric Violin Plots [presentation] Perry Watts 11
NESUG 2012 Modeling Loss Given Default by Finite Mixture Model Chao Huang,
Liang Xie
5
SGF 2012 Graphing Made Easy with SG Procedures Lora D. Delwiche,
Susan J. Slaughter
source 19
WUSS 2011 Assessing resource adequacy uncertainty in California electricity summer demand using the MCMC procedure in SAS Enterprise MinerTM Miguel Garcia-Cerrutti source 12
WUSS 2011 Graphing Made Easy with SG Procedures Susan J. Slaughter source 18
SGF 2011 Graphing Made Easy with Output Delivery System (ODS) Graphics Procedures Susan J. Slaughter,
Lora D. Delwiche
source 18
WUSS 2010 Secrets of the SG Procedures Cleester D. Heath source 19
WUSS 2010 Using Graph Designer for High-Quality Graphs Sanjay N. Matange source 23
SCSUG 2009 ODS Graphics Designer Sanjay N. Matange 24
PNWSUG 2009 ODS Graphics Designer An Interactive Tool for Creating Batchable Graphs Sanjay N. Matange 24
NESUG 2009 ODS Graphics Designer Sanjay N. Matange 24
WUSS 2009 ODS Graphics Designer: Your Tool of Choice for Interactive, Batchable Graphics Sanjay N. Matange source 24
SGF 2009 ODS Graphics Designer Sanjay N. Matange source 24
SGF 2009 ODS Graphics Designer: Your Tool of Choice for Interactive, Batchable Graphics Sanjay N. Matange source 24
SGF 2009 Secrets of the SG Procedures Dan Heath source 19
PharmaSUG 2008 Bayesian Data Analysis Using %WinBUGS Lei Zhang 18
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez
32
WUSS 2006 Easy Methods to Investigate Large Datasets Using ODS Graphics and New Features in SAS 9 Aimee Foreman,
Miriam G. Cisternas
source 10
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez
32
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez
source 32
MWSUG 2005 Time Dependent Data Exploration And Preprocessing: Doing It All By SAS Joseph Twagilimana 10
PharmaSUG 2004 Testing Normality of Data using SAS Guangbin Peng 6
SCSUG 2000 Using JMP Version 4 for Time Series Analysis William R. Gjertsen 10
SESUG 2000 Using JMP Version 4 for Time Series Analysis William R. Gjertsen source 10
SUGI 1994 Using SAS Software to Develop a Comprehensive Air Pollutant Emissions Modeling System Suzanne J. Strasser,
Leonard Bruckman
source 10

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