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data review

136 papers and 13 presentations; 143 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 An Innovative solution for Interactive Dashboards Using Python Flask Framework for Clinical Data Analytics Manish Bhagchandani source 6
PharmaSUG 2026 Closing the Loop: An Interactive R Shiny Dashboard for EDC Data Visualization and Real-Time Review Tracking Jun Yang,
Yuying Jin
source 10
PharmaSUG 2026 From Manual to Automated": An SAS and R-Based Toolkit for Scalable SDTM Generation Hardik Sheth,
Eldho Alias
source 8
PharmaSUG 2026 From Static to Dynamic: Leveraging R Shiny for Tumor Response Data Review Reneta Hermiz,
Jing Ji,
Amrit Pradhan,
Martin Sandel
source 10
PHUSE US 2026 Bridging Patient- and Trial-Level Insights Catharina Dahlbo,
Eva Kelty
source
poster source
5
PHUSE US 2026 C&SP 203X Reinventing Clinical & Statistical programming for the AI - era [presentation] Sangeeta Bhattacharya source 19
PHUSE US 2026 Check Yourself: Edit Checks and Queries Made Easy with Shiny Maya Gans source
presentation source
8
PHUSE US 2026 Deterministic Foundations, AI Acceleration: Lessons from Developing Hybrid Clinical Review Tools Matthew Kumar,
Srinivas Veeragoni
source
presentation source
8
PHUSE US 2026 Empowering Clinical Data Review with Interactive Patient-Level Visualisations in {teal} Dony Unardi source 4
PHUSE US 2026 Integrating LLMs Using R Shiny for Clinical Data Review by Ensuring Data Privacy and Validity Peng Zhang source
presentation source
5
PHUSE US 2026 Is the AI Coding Assistant Catching Your Vibe? A Practical Assessment of Generative AI Tools in Clinical Data Analytics Chendi Liao source
presentation source
6
PHUSE US 2026 Straight to the Source: Interactive Visual Dashboards for Data Cleaning Daniel Smith source
presentation source
8
PHUSE APAC 2026 RbQM: An Intersection of Cross-Functional Collaboration of Clinical, Analytics, Statistics and Technology Domains for Better Clinical Trial Governance Abhishek Ghosh source
presentation source
10
PHUSE APAC 2026 Reimagining Clinical Data Exploration: Animated Data Visualizations for Interactive Clinical Trial Storytelling Tony Mathew source
presentation source
6
PHUSE EU 2025 Transforming Study-Specific Reporting (SSR Trends) Through an Innovative Data Pipeline Architecture Approach Archana Nayak,
Jill Ophoff
source
presentation source
3
PHUSE EU 2025 Using Visual Dashboards to Improve Data Accuracy Daniel Smith source
poster source
8
PharmaSUG 2025 A Customizable Framework in R for Presenting BICR Data in a User-Friendly Format Reneta Hermiz,
Jing Ji
source 14
PharmaSUG 2025 Achieving Reliable Data Verification with R: Proven Tools, Best Practices, and Innovative Workflows Valeria Duran,
Xuehan (Emily) Zhang
source 15
PharmaSUG 2025 Amazing Graph Series: Advanced SAS Visualization to Wake Up Your Data - From Static to Fantastic Tracy Sherman,
Aakar Shah
source 10
PharmaSUG 2025 Bridging the Gap: Leadership of Statistical Programmers in Clinical Trials Allison Covucci,
Xiaohan Zou
source 6
PharmaSUG 2025 Data management and biostatistics synergy: how to achieve and what can be expected Diana Avetisian source 11
PharmaSUG 2025 The {teal} Adoption Playbook: Strategies, Tools, and Learning Paths for Open Source Vedha Viyash source 8
PHUSE US 2025 Enhancing the (ASAP) Aggregate Safety Assessment Planning Framework with an Interactive R Markdown Application: Seeing is believing! Debopriya Ghosh source
presentation source
7
PHUSE US 2025 Fit for Purpose: How to Prepare a Package for Efficient Data Monitoring Committee (DMC) Data Review Ke Xiao,
Hong Wang
source
poster source
4
PHUSE US 2025 From Data Manager to Data Scientist: Navigating the Future of Data Management in Clinical Trials Debra Anderson source
presentation source
6
PHUSE US 2025 Interactive Visualisation of Pooled Clinical Trial Safety Data Sara Bodach,
Ling Zhang
source
presentation source
7
PHUSE EU 2024 Analytical Risk-Based Monitoring (ARBM): From Targeted to Zero Source Data Verification (SDV) - Are Teams Ready for the Revolution? Plamena Kostadinova source
presentation source
5
PHUSE EU 2024 DaVinci: A Modular Framework for Interactive Data Exploration and Visualisation in Clinical Research Isabel Glauß,
Stefan Döring
source
presentation source
5
PharmaSUG CN 2024 Interactive analyses and displays for clinical data by utilizing a complete suite of analysis and reporting (A&R) tools via MedDRAH Zhiping Yan source 13
PharmaSUG 2024 A New Approach to Automating the Creation of the Subject Visits (SV) Domain Xiangchen (Bob) Cui,
Jessie Wang,
Min Chen
source 24
PharmaSUG 2024 Agile, Collaborative, Efficient (ACE): A New Perspective on Data Monitoring Committee Data Review Preparation Ke Xiao source 6
PharmaSUG 2024 Piloting data visualization and reporting with Rshiny apps Yun Ma,
Yifan Han
source 7
PharmaSUG 2024 Utilizing Data Visualization for Continuous Safety and Efficacy Monitoring within Early Development Margaret Wishart,
Tamara Martin
source 5
PHUSE US 2024 A Data Manager's Experience with AI/ML Adoption and Efficiency Diane Lacroix source
presentation source
4
PHUSE US 2024 Agile, Collaborative, Efficient (ACE): A New Perspective on Data Monitoring Committee Data Review Preparation Ke Xiao,
Hong Wang
source
poster source
6
PHUSE US 2024 Beyond the Hype: A Pragmatic Approach to Leveraging AI/ML for Data Review Robert Musterer source
presentation source
10
PHUSE US 2024 Enhancing PK Data Exploration and Visualization by using a R Shiny Application Runcheng Li,
Hanyang Sun,
Yiyuan Zeng,
Jiannan Kang
source
presentation source
7
PHUSE US 2024 My Data Are Too Good to Be True! Should I Worry About Fraud or Sloppiness? Johann Proeve source
presentation source
9
PHUSE US 2024 R Shiny Application to Optimise Review of Multiple Myeloma Efficacy Data Listings Dinesh Putluri source
poster source
2
PHUSE US 2024 Real-Time Data Cleaning -- A Reality: When Automation Connects Digitised, Centralised, Standardised Data, it Transforms into Real-Time Data Cleaning Vidya Muthukumar source
poster source
2
PHUSE US 2024 Redefining 'Interactive' Dashboards to Enhance Safety Data Review Andrew McGowan source
presentation source
7
PHUSE US 2024 The Data Review Model - Recognising the Benefits of a Single Source of Truth Model for Data Review Priyank Patel source
presentation source
8
PHUSE EU 2023 Data Managers and R Programming: The Unlikely Pair Anaelle Perretti (Bonetta) source
presentation source
9
PHUSE EU 2023 Janssen DATA4YOU Platform Approach for Clinical Data Review Erik Lemmens,
Paul Fioole
source
presentation source
7
PHUSE EU 2023 Real-Time Safety and Medical Review by Integrating Data Visualisations with an SCE Shivoy Pandita,
Santhoshi Madeswaran
source
presentation source
8
PHUSE EU 2023 The Human in the Loop: Accelerating AI/ML Efficiencies for Clinical Data Achilleas Zaras source
presentation source
4
PHUSE EU 2023 Will R/Shiny Provide a Novel Way for Study Teams to Review Clinical Data? Gustav Söderström source
presentation source
3
WUSS 2023 Quality Control - Defining an Acceptable Quality Standard without Achieving Perfection Bill Coar source 9
PHUSE US 2023 Decentralized Clinical Data Management (D-CDM): An Innovative 3-Way Approach (Risk-Data-Analytics) to Protect Data Integrity [presentation] Nithiyanandhan Ananthakrishnan,
Mukesh Babu K
source 13
PHUSE US 2023 DV-04 Unifying RECIST source
presentation source
5
PHUSE US 2023 Use R to Track and Highlight the Changes Between 2 Versions of Data to Have More Efficient Data Review Disheng Huang,
Kevin Li
source
presentation source
5
PHUSE EU 2022 DRM Version 2: The Standards Strike Back [poster] Marc-Antoine Prodhomme source 1
PHUSE EU 2022 Interactive Data Visualisation for Faster and Improved Data Insights [presentation] Markus Niederstrasser source
video
38
WUSS 2022 Cautionary Notes when Working with Interim Data Bill Coar source 8
WUSS 2022 TrackCHG: A SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Safety Listings Inka Leprince,
Elizabeth Li,
Carl Chesbrough
source 21
PharmaSUG 2022 Copy comments: A Dynamic solution to solve the age-old need Joseph Cooney source 8
PharmaSUG 2022 Just Say No to Data Listings! Mercidita Navarro,
Nancy Brucken,
Aiming Yang,
Greg Ball
source 4
PharmaSUG 2022 SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Listings Inka Leprince,
Elizabeth Li,
Carl Chesbrough
source 19
PHUSE US 2022 The Decentralized Trials Data Problem: Foundations for the Future of Clinical Trials [presentation] Raj Indupuri source
video
11
PHUSE EU 2021 Real-world Data, CDISC SDTM, HL7 FHIR and the Future of Regulatory Submissions [presentation] Jozef Aerts source
video
17
PHUSE EU 2021 Utilising LSAF for Data Management at a Belgian Biotech Louella Schoemacher source
video
presentation source
7
PHUSE US 2021 Leveraging Standard Analytics in Central Monitoring: The Good, The Bad, & The Ugly [presentation] Angela Geiger,
Arianna Galli
source
video
20
PHUSE US 2021 Software Demonstration: SD12: Reporting Application that Provides Instant Oversight to Management and Actively Helps Programmers to Save Time, Implement Standards and Raise Quality [presentation] Shafi Chowdhury source 11
PharmaSUG 2021 Fast, Efficient, and Automated Real-time Analytics for Clinical Trials Aditya Gadiko,
Christopher C. Hurley,
Anish Iyer
source 5
PharmaSUG 2021 Make Your Life Easy! How SpotFire and SAS together can help with better Data Review and Data Quality Raj Sharma source 12
PHUSE EU 2020 Scientific and Methodological Consistency Throughout a Clinical Study: How to Succeed? [poster] Sandra Wiederkehr,
Caroline Rigault,
V. Chapalain,
R. Gauchoux
source
video
1
PharmaSUG 2020 Color Data Listings and Color Patient Profiles Charley Z. Wu source 5
PharmaSUG 2020 How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process Mirai Kikawa,
Yuichi Nakajima
source 9
PHUSE US 2020 Evolution of Data: From extraction to visualization Ashish Kumar source
presentation source
11
PHUSE US 2020 Quarterly Safety Reporting: Timely Analysis of Clinical Safety Data Using Qlik Sense Software Yvonne Denkins source
presentation source
8
PHUSE US 2020 Rerouting Your Risk-based Monitoring Strategy: Overcoming Implementation Roadblocks with New Technologies and Approaches Jonathan Andrus source
presentation source
9
PHUSE EU 2019 Automated Review of Metadata Standards, Data Checks and Trend Visualisation Giuseppe Di Monaco source
presentation source
9
PharmaSUG 2019 Create Interactive Data Visualizations for Clinical Data Review Using Base SAS and Javascript Raj Kiran Boddu source 12
PharmaSUG 2019 Strategy to Evaluate the Quality of Clinical Data from CROs Charley Z. Wu source 7
SGF 2019 Utilization of Python in Clinical Study by SASPy Yuichi Nakajima source 15
PHUSE US 2019 An Open Clinical Data Quality Framework Vineet Jain source
presentation source
11
PHUSE US 2019 The ARBM Ecosystem - Optimizing Process and Platform Madelaine Mackay source
presentation source
8
PHUSE US 2019 The Implementation of Spotfire in Clinical Trials to Review Safety and Patient Reported Outcomes Data Jingyuan Chen,
Wenyi Liu
source
presentation source
6
PHUSE EU 2018 A Proprietary CDASH/SDTM-hybrid Data Model to Expedite Clinical Data Review Lieke Gijsbers,
Tom Van Der Spiegel
source
presentation source
6
PHUSE US 2018 Building Dashboards for Real-time Insights into Clinical Data Bhavin Busa,
Siddartha Kondapally
source 6
PHUSE US 2018 Increase Quality and Reduce SDTM Development Time with a Test Study Data Simulator Sasikumar Palanisamy,
Bhaskar Subramanian
source 4
PHUSE US 2018 Machine Learning Driven Clinical Insights - What When & How? [presentation] Chandi Kodthiwada source 5
PHUSE US 2018 Supporting a Data Review and Visualization Application with SDTM Deepika Sunkara,
Jagadish Dhanraj
source
presentation source
6
PharmaSUG 2018 The Changing Clinical Data Analytics Landscape - Visualization & Beyond Siddartha Kondapally,
Kishore Pothuri,
Bhavin Busa
source 6
PHUSE EU 2017 Putting Sisyphus Out of a Job, Making Health Care Research a Reality [presentation] Geoff Low source 26
PHUSE EU 2017 Visualising CDSIC SDTM for Monitoring and Review Philip Bartle source
presentation source
11
PharmaSUG 2017 Data Integrity: One step before SDTM Pavan Kathula,
Sonal Torawane
source 9
PharmaSUG 2017 Data Monitoring Committee Report Programming: Considering a Risk-Based Approach to Quality Control Amber Randall,
Bill Coar
source 9
PharmaSUG 2017 Laboratory Data Standardization with SAS Charley Z. Wu,
Dona-Lyn Wales
source 12
PharmaSUG 2017 Work with me here-(or there or anywhere): Practical Cloud Collaboration with JMP Clinical for Clinical Trial Data Reviews Kelci J. Miclaus,
Drew Foglia
source 14
PharmaSUG 2016 "It is a standard, so it is simple, right?": Misconceptions and Organizational Challenges of Implementing CDISC at a CRO Susan H.M. Boquist,
Adam J. Sicard
source 5
PharmaSUG 2016 Delivering a quality CDISC compliant accelerated submission using an outsourced model Mei Dey,
Diane Peers
source 8
PharmaSUG 2016 The Devil is in the Details - Reporting from Pinnacle 21 (OpenCDISC) Validation Report Amy Garrett,
Chris Whalen
source 11
SGF 2016 Data Review Listings on Auto-Pilot: Using SAS and Windows Server to Automate Reports and Flag Incremental Data Records Victor Lopez,
Heli Ghandehari,
Bill Knowlton,
Christopher J. Swearingen
source 12
PHUSE EU 2015 Ensuring Data Quality in Outsourced Studies - The Role of the Data Scientist Sarah Malbon,
Vikki Horton
source
presentation source
8
PHUSE EU 2015 FDA Review Principles Applied to CRO Oversight Sascha Ahrweiler,
Grace Ignacio
source
presentation source
7
PHUSE EU 2015 From Data Management to Statistical Programming: A Real-Life Change Benjamin Lerbour source
presentation source
5
PharmaSUG 2015 R you ready to show me Shiny for PharmaSUG 2015 Amulya R. Bista,
Jeff Cai
source 5
MWSUG 2014 Jack of all Listings, A New Approach for Review of Clinical Data Hardik Panchal 15
MWSUG 2014 Using Cardinality Ratio for Fast Data Review Ronald J. Fehd 16
WUSS 2014 Using Cardinality Ratio for Fast Data Review Ronald J. Fehd source 15
SGF 2014 Embedding Critical Content in an E-mail Message Body [presentation] Amy Swartz source 5
WUSS 2013 Generation of Subset Listings William Coar source 13
NESUG 2013 How to Create High Level Data Review Tools Xiaoyu (Sean) Liu 4
PharmaSUG 2013 Good vs Better SDTM: Limitations as Operational Model Henry B. Winsor,
Mario Widel
source 4
PHUSE EU 2012 Integrating Clinical Images into the Data Review Process Kellie Riley source
poster source
5
PHUSE EU 2012 New Era for Data Management - Redfine Collaboration Michaela Jahn source
presentation source
6
PharmaSUG CN 2012 Clinical Review on iPad with DEFINE.XML Sy J. Truong 10
PharmaSUG 2012 "Analysis-ready" - Considerations, Implementations, and Real World Applications Ellen (Zihui) Lin,
Beiying Ding
source 6
WUSS 2011 Clinical Data Review on iPad with DEFINE.XML Sy J. Truong source 10
PHUSE EU 2010 Statistical Graphics for Review and Reporting in Clinical Development Kerstin Pietzko,
Michael O'Connell
source
poster source
12
PHUSE EU 2009 Data review: To see or not to see.. Estelle Tiemtore source
presentation source
6
PHUSE EU 2009 Medical Data Review in Exploratory Drug Development Michaela Jahn,
Joshua Haznedar
source
presentation source
21
PharmaSUG 2008 Identifying and Surfacing Data Changes for Effective Quality Management W. Stetson Line,
Scott A. Bahlavooni
9
PHUSE EU 2007 DQC checker Ryan Finch source 7
PNWSUG 2006 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionery.Columns to Eliminate Macro Do Loops Ronald J. Fehd 10
PHUSE EU 2006 Integrating Specialized Graphics and Analysis into Production Systems Joel M. Hoffman,
Michael O'Connell
source 18
PHUSE EU 2006 Statistical Graphics and Reporting in Drug Development Michael O'Connell,
Sven Knudsen
source 13
PHUSE EU 2005 CLIREV - A friendly and flexible Clinical Data Review Tool Angelo Tinazzi source 6
NESUG 2004 Developing a National Health and Nutrition Examination Survey (NHANES) SAS/Web-Based Quality Assurance Application Jane Zhang,
Tim Tilert,
Edward Stammerjohn,
Lewis Berman,
Alan Fisher
9
NESUG 2003 2002 Economic Census Lands on Mars Christopher J. Boniface,
Christopher W. Diering,
Angela E. Meola,
Kimberly Wortman
10
SEUGI 1999 Clinical processes and SAS/PH-Clinical, a good marriage? [presentation] Patrick Genyn source 24
SUGI 1998 DEMOXRPT: Macros for Writing Exception Reports; Perform Range and Logic Checks on a Data Set; Write File of Exceptions to Edit and Use for Updates Ronald J. Fehd source 4
SUGI 1998 Using the Data Warehouse Model to Streamline and Accelerate New Drug and Medical Device Development Martin J. Rosenberg source 5
WUSS 1997 Using the Data Warehouse Model is Streamline and Accelerate New Drug and Medical Device Development Martin J. Rosenberg source 5
PharmaSUG 1997 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg 9
WUSS 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
PNWSUG 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg 9
SEUGI 1996 How can the SAS System add business benefit to the Pharmaceutical Industry in the Electronic Drug Submission Process? David J. Shannon source 10
SEUGI 1996 Re-engineering the CAPLA: integrating electronic submissions into the drug development Guy Pawson source 34
SUGI 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
NESUG 1995 The Choice of SAS Software as the Application Development Tool for Your CANDA Barry R. Cohen 9
NESUG 1995 The Integration of SAS/PH Clinical 2.0 into a CANDA Submission Package Ivan G. Pawson 3
WUSS 1995 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
SUGI 1995 An Integrated System for Graphical Data Review Scott Scheleur,
Julia L. Bienias,
David Stachurski,
David Lassman
source 6
SUGI 1995 ClinAccess: A Client/Server Approach to Clinical Trials Data Management and Regulatory Approval Martin J. Rosenberg source 7
SUGI 1994 Developing Integrated Clinical Trials Systems: The ClinAccess Experience Martin J. Rosenberg source 7
SUGI 1994 Using the FRAME Entry to Develop Graphical-based Data Review Application David A. Bright source 8
WUSS 1993 An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology Martin J. Rosenberg source 7
SUGI 1993 An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology Martin J. Rosenberg source 7
SUGI 1992 An Integrated Clinical Information System for Pharmaceutical Research Martin J. Rosenberg source 7
SUGI 1991 A Clinical Data Review System to Facilitate Pharmaceutical Research Martin J. Rosenberg source 9
SUGI 1990 Constructing Integrated Clinical Information Systems for Traditional and Nontraditional Users Martin J. Rosenberg source 6
NESUG 1989 Integrated Clinical Information Systems for Traditional and Non-traditional Users Martin J. Rosenberg 8
SEUGI 1989 SAS/AF Software In Clinical Data Applications Mark Crawford source 26
SUGI 1989 An Integrated Approach to Computer Systems for NDA Preparation and Presentation Martin J. Rosenberg source 7
SUGI 1988 Future Direction of Biomedical Information Systems in the Pharmaceutical Industry Based on the SAS System James F. Sattler source 4
SUGI 1988 Using the SAS System to Facilitate Clinical Trials Research and NDA Approval Martin J. Rosenberg source 7
SUGI 1987 Building a Clinical Data Review System Using SAS/AF Software James F. Sattler source 7

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