| PharmaSUG |
2026 |
An Agentic AI Framework That Reads Statistical Analysis Plans and Generates TFL Table of Contents |
Siqi Wang, Toshio Kimura, Songgu Xie, Weiming Du |
source |
6 |
| PharmaSUG |
2026 |
Early Restricted Unblinded PK Data Access (ERUPA): Framework to Accelerate PopPK and ERES Deliverables Through Data-Centric, Firewalled Workflows |
Dheeraj Rupani, Srinivas Bachina, Kiran Kumar Kode |
source |
7 |
| PharmaSUG |
2026 |
From Programmer to Influencer: Strategic Leadership for Statistical Programmers in Clinical Development |
Xiaohan Zou, Wei Shao, Yi Yan |
source |
9 |
| PHUSE US |
2026 |
AI Reading and Understanding the SAP to Generate the TFL TOC |
Siqi Wang, Toshio Kimura |
source presentation source |
6 |
| PHUSE US |
2026 |
AI Won't Replace Leaders-But It Will Redefine Them [presentation] |
Chris Decker |
source |
9 |
| PHUSE US |
2026 |
End-to-End Workflow for CDISC Estimand Framework in Clinical Trials |
Hiral Raval, Simon Luo |
source poster source |
12 |
| PHUSE US |
2026 |
Submitting RWD: Where We Are and Where We Are Going |
Ingeborg Holt, Sarah Ferko, Jeffrey M. Abolafia |
source presentation source |
24 |
| PHUSE US |
2026 |
The Journey Beyond Anonymisation: Exploring the Secondary Use of Clinical Trial Data |
Yuliia Cherednichenko, Tetiana Skorokhod |
source presentation source |
18 |
| PHUSE US |
2026 |
The Revolution of Digitised Study Designs: Standards, Use Cases and Tools |
Berber Snoeijer |
source presentation source |
3 |
| PHUSE APAC |
2026 |
Bridging the Divide: Harmonizing HL7 FHIR, OMOP, and CDISC Standards for Regulatory-Grade Real-World Evidence |
Yasa Sreekanth Reddy |
source presentation source |
9 |
| PHUSE APAC |
2026 |
Embracing the Semantic Shift: SDTMIG 4.0 and the Rise of Intelligent Clinical Data Standards |
Binitha Sathyabhama, Venkateswarlu Layam |
source presentation source |
6 |
| PHUSE EU |
2025 |
Close Encounters with Real-World Data |
Jeffrey M. Abolafia, Sarah Ferko, Ingeborg Holt |
source presentation source |
21 |
| PHUSE EU |
2025 |
Decode Your Future: A Professional Development Growth Map for Programmers and Statisticians by Role Type |
Diana Stuart |
source poster source |
8 |
| PHUSE EU |
2025 |
From Standards to Strategy: Customising CDISC Open Rules for the TMF Reference Model [presentation] |
Irina Sargsyan, Sabine Jonas |
source |
20 |
| PHUSE EU |
2025 |
The Kids Are All Right: How Investing in Career-Young Talent Can Create Engaged Future Leaders |
Sean Miles |
source presentation source |
3 |
| PHUSE EU |
2025 |
The Value of Clinical Trial Data: From Submission to Innovation |
Anne Katrine Alsing |
source presentation source |
8 |
| PharmaSUG |
2025 |
Change the way you think of Codelist - Optimize managing Organization Controlled Terminology with a meta-model and its features to manage Codelist in MDR |
Kairav Tarmaster |
source |
11 |
| PharmaSUG |
2025 |
Decoding the Role of Statistical Programming - A Decade of Keytruda Submissions and Approvals |
Mary N. Varughese, Hong Qi |
source |
8 |
| PharmaSUG |
2025 |
Enhancing Dictionary Management and Automation with NCI EVS: A Deeper Dive for the CDISC Community |
Anthony Chow |
source |
6 |
| PharmaSUG |
2025 |
Scoring Real-World Data Reliability for Clinical Investigations |
James Joseph |
source |
15 |
| PharmaSUG |
2025 |
SDTM Transformation through Artificial Intelligence (AI) and Human in the Loop (HITL): Lessons Learnt from Abbvie Case Study |
Aman Thukral, Sanjay Bhardwaj |
source |
2 |
| PharmaSUG |
2025 |
The Model Maketh the Metadata |
Carlo Radovsky |
source |
19 |
| PHUSE US |
2025 |
Collaborating on Standards: An Approach to Harmonizing Vaccine Regulatory Submissions |
Fred Bermont, Médéric Celle, Estella Sani, Erin Gnas, Jennifer Mastri, Leslie Morgan, Naila Musani, Ramana Setty, Sandra VanPelt Nguyen, Yun Zhang |
source presentation source |
8 |
| PHUSE US |
2025 |
Considerations for the Submission of RWD using CDISC with Insights from HL7 FHIR and OMOP |
Ingeborg Holt, Sarah Ferko, Jeffrey M. Abolafia |
source presentation source |
15 |
| PHUSE US |
2025 |
End-to-End Therapeutic Area Data Standards Development and Governance - A Case Study Involving CRS and ICANS |
Yaling Teng |
source presentation source |
7 |
| PHUSE US |
2025 |
Future-Proofing Clinical Data Standards: Preparing for AI and Machine Learning |
Shivoy Pandita |
source presentation source |
8 |
| PHUSE US |
2025 |
Mapping OMAP Data to SDTM - Use Case for RWD in CAR-T Registry Studies |
Kai Deng, Joe Xi |
source presentation source |
5 |
| PHUSE US |
2025 |
Solving real-world data (RWD) reliability challenges for use in regulatory decision-making |
Tasha Nagamine |
source presentation source |
5 |
| PHUSE EU |
2024 |
Connecting Standard from Design to Analysis to Submission: Finishing the CDISC 360 Vision [presentation] |
Peter Van Reusel |
source |
25 |
| PHUSE EU |
2024 |
Considerations for the Submission of RWD using CDISC with Insights from HL7 FHIR and OMOP |
Jeffrey M. Abolafia, Sarah Ferko, Ingeborg Holt |
source presentation source |
13 |
| PHUSE EU |
2024 |
Database Lock Is Only the Beginning: The Long, Winding Journey of Secondary Data Reuse at Roche |
Tamara Senior |
source presentation source |
3 |
| PHUSE EU |
2024 |
Digital Data Flow: Achieving Protocol Digitalisation and Clinical Research Interoperability Through Multi-Stakeholder Collaboration [presentation] |
Mikkel Traun, Lakshmi Sankar |
source |
21 |
| PHUSE EU |
2024 |
From Source to Submission: Getting the Best of Multiple Standards |
Jules Van der Zalm, Berber Snoeijer |
source presentation source |
4 |
| PHUSE EU |
2024 |
Harmonising FDA and PMDA Submission Requirements |
Luca Semeraro |
source presentation source |
12 |
| PHUSE EU |
2024 |
ID-SPECTACKLE: Making ADaM specifications "Fun" |
Sophie Dekeyser |
source presentation source |
11 |
| PHUSE EU |
2024 |
OAK Productivity Experiment - How We Made SDTM Programming 5x Faster |
Amy Franklin, Magdalena Krochmal |
source presentation source |
5 |
| PHUSE EU |
2024 |
Standards Implementation with a Knowledge-Driven, AI-Powered Platform |
Roger Gagali Angoh |
source presentation source |
3 |
| PHUSE EU |
2024 |
Synthesised Real-world Data: JSON and the Argonauts |
Anil Sekhari |
source presentation source |
10 |
| PHUSE EU |
2024 |
The Significance of Generic Data Transfer Specification for Non-CRF Data in Clinical Trials |
Samaneh Sabiani, Kristina Zweier |
source presentation source |
9 |
| PHUSE EU |
2024 |
Transcriptomics - A Demanding Data Analysis that Expands the Limits of Regulated Clinical Data Handling |
Lea Yoshida Hildebrandt |
source presentation source |
6 |
| PharmaSUG |
2024 |
Automating third party data transfer through digitized Electronic DTA Management |
Vandita Tripathi, Manas Saha |
source |
6 |
| PharmaSUG |
2024 |
Interfacing with Large-scale Clinical Trials Data: The Database for Aggregate Analysis of ClinicalTrials.gov |
Joshua J. Cook, Achraf Cohen |
source |
16 |
| PharmaSUG |
2024 |
Reimagining reporting and Visualization during clinical data management |
Vandita Tripathi, Manas Saha |
source |
9 |
| PharmaSUG |
2024 |
Study Start Date - Let-s Get it Right! |
David C. Izard |
source |
6 |
| PHUSE US |
2024 |
Demystifying Submissions to NMPA China [presentation] |
Hiral Raval, Dyuthi Yellamraju |
source |
19 |
| PHUSE US |
2024 |
Future Clinical Data Submission Standards: CDISC, FHIR, OMOP, or Hybrid Model |
Jeffrey M. Abolafia, Sarah Ferko, Ingeborg Holt |
source presentation source |
10 |
| PHUSE US |
2024 |
Incorporating Real-World Data in a Low-Interventional Study: Challenges and Considerations |
Sandra VanPelt Nguyen |
source presentation source |
8 |
| PHUSE US |
2024 |
Scaling ECAs from Projects to the Enterprise: Multicentre, Multisource Infrastructure for External Control Arms |
Jussi Leinonen, Mayur Saxena |
source presentation source |
4 |
| PHUSE US |
2024 |
The TransCelerate/CDISC Digital Data Flow Project: Practical Electronic Study Designs [presentation] |
David Iberson-Hurst |
source |
28 |
| PHUSE US |
2024 |
Unlocking the Future of Tables with the {tfrmt} R Package |
Becca Krouse |
source presentation source |
8 |
| PHUSE US |
2024 |
Usage of OMOP-CDM along with CDISC in Clinical Trials: Challenges and Opportunities |
Parag Shiralkar |
source presentation source |
5 |
| PHUSE EU |
2023 |
Generalisable Analysis Pipelines for Handling Large HTA Submissions [poster] |
Nicolai Skov Johnsen, Matthew Phelps |
source |
1 |
| PHUSE EU |
2023 |
Practical Operations of Electronic Study Data Submissions |
Priyanka Pujari |
source presentation source |
9 |
| PHUSE EU |
2023 |
The TransCelerate/CDISC Digital Data Flow Project: Practical Electronic Study Designs [presentation] |
David Iberson-Hurst |
source |
28 |
| PharmaSUG |
2023 |
Automation of the SDSP CBER Appendix for Vaccine Studies |
Nicole Jones, Pritesh Solanki |
source |
6 |
| PharmaSUG |
2023 |
CDISC Conformance and Compliance: So Many Resources, So Little Time! |
Jennifer K. Fulton, Stephen Black |
source |
11 |
| PharmaSUG |
2023 |
Challenges with Metadata Repository System Implementation: A Sponsor-s Perspective |
Radhika Kale, Reema Baweja |
source |
9 |
| PharmaSUG |
2023 |
Digital Data Flow (DDF) and Technological Solution Providers |
Prasoon Sangwan, Piyush K. Singh |
source |
8 |
| PharmaSUG |
2023 |
FDA's Study Data Policy Framework and How CDISC Properties Are Evaluated for Inclusion |
Helena Sviglin |
source |
20 |
| PharmaSUG |
2023 |
OCS Update: OCS Clinical Services & the Traceability Assessment |
Jesse Anderson |
source |
25 |
| PharmaSUG |
2023 |
U.S. Conference |
Liping Sun |
source |
22 |
| PHUSE US |
2023 |
Best Practice for Successful Adoption and Implementation of CDISC Data Standards [presentation] |
Gilbert Hunter, Martin Johnston |
source video |
25 |
| PHUSE US |
2023 |
Computerised Algorithm for Multiple Myeloma Response Assessments |
Mahesh Swaminathan |
source presentation source |
3 |
| PHUSE US |
2023 |
Data Standards Governance and Implementation Across Industry: Key Challenges and Benefits [presentation] |
Gayathri Mahadevan, Matt Baldwin |
source video |
15 |
| PHUSE US |
2023 |
Enabling the Digital Data Flow from eProtocol to Downstream Processes [presentation] |
Berber Snoeijer, Kumar Patel |
source video |
13 |
| PHUSE EU |
2022 |
Breaking Down the Data Standards Silos - A New Metadata Ontology for Data Analysis Derivations |
Chris Price, Nelia Lasierra |
source presentation source |
7 |
| PHUSE EU |
2022 |
Clinical Data Standards and Production of SDTMs. Are We Missing Important Points? [presentation] |
Eva Stigson, Paulina Kuczkowska |
source |
15 |
| PHUSE EU |
2022 |
Devices and Decentralised Clinical Trials Using a Storage and Advanced Analytics Platform for the Clinical Data Environment (ALYCE) [presentation] |
Stephan Cichos, Anja Thiede |
source video |
23 |
| PHUSE EU |
2022 |
Governance and Cataloguing of Analytics Assets [presentation] |
Paul McCaffery, Clement Benemara |
source |
15 |
| PHUSE EU |
2022 |
The Secret to Getting Your Dream Job Offer [presentation] |
Tom Oades |
source video |
13 |
| 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 |
RWD (OMOP) to SDTM (CDISC): A primer for your ETL journey |
Ashwini Yermal Shanbhogue |
source |
10 |
| PHUSE EU |
2021 |
AI-powered Drug Development: Accelerating Trials with AI & ML [presentation] |
Raj Indupuri |
source video |
10 |
| 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 |
EMA Panel Discussion: What Might the Future Landscape of Submitting Data Look Like in 2025 ? [presentation] |
Eftychia-Eirini Psarelli, Jesper Kjær |
source |
14 |
| PHUSE EU |
2021 |
EMA Panel Discussion: What Might the Future Landscape of Submitting Data Look Like in 2025 ? [presentation] |
Eftychia-Eirini Psarelli, Jesper Kjær |
source |
11 |
| PHUSE EU |
2021 |
Next Generation MDR Solution for Study Design and Configuration Using Concept-based Standards [presentation] |
Mikkel Traun |
source video |
15 |
| PHUSE US |
2021 |
An R-based Tool to Build Questionnaires, Ratings and Scales (QRS) in EDC for Clinical Trials [presentation] |
Catherine Abogado, Rammprasad Ganapathy |
source video |
19 |
| PHUSE US |
2021 |
COVID-19 Outbreak Visualization Using a Clinical Data Science Platform [presentation] |
Iryna Kotenko, Sergey Glushakov |
source video |
15 |
| PHUSE US |
2021 |
How to Submit Study Data to Comply with Technical Rejection Criteria [poster] |
Lina Cong |
source |
1 |
| PHUSE US |
2021 |
How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] |
Alexey Kuznetsov, Jorine Putter |
source |
9 |
| PHUSE US |
2021 |
Open-Source Development for Traditional Clinical Reporting [presentation] |
Michael Stackhouse, Nathan Kosiba |
source video |
12 |
| PHUSE US |
2021 |
Real-Time Clinical Trial Analytics Using Automation with IBM Clinical, Medidata Rave and Datacise [presentation] |
Amritpal Singh |
source video |
10 |
| PHUSE US |
2021 |
Regulatory Update & Townhall [presentation] |
Ethan Chen |
source |
28 |
| PharmaSUG |
2021 |
FDA Study Data Technical Rejection Update [presentation] |
Ethan Chen |
source |
36 |
| PharmaSUG |
2021 |
SEND for CBER |
Lisa Lin |
source |
26 |
| PHUSE EU |
2020 |
Digital Data Flow - A Solution for Study Start-up and Amendments [presentation] |
Palanipandiyan Chokkalingam, Srinivasan Mahalingam |
source video |
22 |
| PHUSE EU |
2020 |
Graph Data Representation - The FAIRest of Them All [presentation] |
Eva Kelty, Peter Tormay |
source video |
25 |
| PHUSE EU |
2020 |
Implementing FAIR in OHDSI: Challenges and Opportunities in EHDEN [presentation] |
Tess Korthout |
source video |
23 |
| PHUSE EU |
2020 |
SUPPQUAL Datasets: The Good, the Bad and the Ugly [presentation] |
Sergiy Sirichenko |
source video |
40 |
| PHUSE EU |
2020 |
Understanding the Spread of COVID-19 in the United States Using Topology and Machine Learning for Time Series |
Iryna Kotenko, Kostiantyn Drach |
source video presentation source |
32 |
| SGF |
2020 |
Data Preparation Techniques for Cloud-Based Data Sources |
Jennifer L. Nenadic |
source |
11 |
| SGF |
2020 |
Data Standardization Using SAS Health Data Mapper |
Eric Bolender |
source |
14 |
| PharmaSUG |
2020 |
Analysis Package e-Submission - Planning and Execution |
Abhilash Chimbirithy, Saigovind Chenna, Majdoub Haloui |
source |
8 |
| PharmaSUG |
2020 |
CDISC Standards for Medical Devices: Historical Perspective and Current Status |
Carey G. Smoak |
source |
8 |
| PharmaSUG |
2020 |
Moving A Hybrid Organization Towards CDISC Standardization |
Kobie O'Brian, Sara Shoemaker, Robert Kleemann, Kate Ostbye |
source |
8 |
| PHUSE US |
2020 |
Automating the Analysis Data Reviewer's Guide (ADRG) in Early-stage Development Studies |
Jing Su, Pranab K. Mitra |
source |
5 |
| PHUSE US |
2020 |
Building a Deeper Bench: Writing ADaM Specifications |
Kristen Reece Harrington, Shane Rosanbalm |
source presentation source |
3 |
| PHUSE US |
2020 |
Data Standards for eCOA in Clinical Trials |
Terek Peterson, Franklin E. Menius |
source presentation source |
6 |
| PHUSE US |
2020 |
Data, Metadata and the notion of Holons* (* Information concepts) |
Peter Tormay |
source presentation source |
7 |
| PHUSE US |
2020 |
Developing SEND for CBER - Collaborative Workstream Initiative Update |
Lisa Lin, Susan DeHaven |
source presentation source |
6 |
| PHUSE US |
2020 |
Implementing New Technical Guidance: A Sponsor Experience with the April 2018 CBER Vaccine Guidance |
Liping Zhang, Sandra VanPelt Ngyuen |
source presentation source |
8 |
| PHUSE US |
2020 |
Industry Experiences Submitting Standardized Study Data to Regulatory Authorities |
Janet Low, Vincent Guo |
source presentation source |
12 |
| PHUSE US |
2020 |
Let Us Trace Back to the Beginning from the End |
Madhusudhan Reddy Papasani, Swathi Kotla |
source presentation source |
12 |
| PHUSE US |
2020 |
Managing Simultaneous Drug Submissions with Breakthrough Designations - Lessons Learned from a Programming Perspective |
LiFeng Good |
source presentation source |
6 |
| PHUSE US |
2020 |
Mind the Gap: Raw Data Model |
Julie Smiley |
source presentation source |
7 |
| PHUSE US |
2020 |
Standards Compliance - An Automated Way to Measure the Interoperability of Clinical Studies |
Rammprasad Ganapathy |
source presentation source |
6 |
| PHUSE US |
2020 |
Using Graph Technology for Metadata-driven Clinical Development |
Frederik Malfait |
source |
6 |
| PHUSE US |
2020 |
What You Need to Know About Submitting Data to the FDA |
Pritesh Solanki, Janet Low |
source presentation source |
7 |
| PHUSE EU |
2019 |
Addressing the Gap in Data Standards: Introducing the Aggregation Layer |
Claudio Garutti, Marko Bomyer |
source presentation source |
11 |
| PHUSE EU |
2019 |
FAIR Data Standards in the GDSR |
Huw Mason |
source poster source |
4 |
| PHUSE EU |
2019 |
Governance for Global Data QC Checks |
Kristien Nuyts |
source presentation source |
10 |
| PHUSE EU |
2019 |
Navigating FDA Requirements: ISS/ISE Build Strategies |
Priyank Patel |
source |
9 |
| PHUSE EU |
2019 |
Structured Clinical Development - Using a Digitized Study Design and Planning to Drive Process Automation |
Djenan Ganic |
source presentation source |
7 |
| MWSUG |
2019 |
Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
|
20 |
| WUSS |
2019 |
Stay Ahead of the Curve: How to implement New FDA Recommendation Study Data Standardization Plan (SDSP) in your organization? |
Stay Ahead, Aakar Shah |
source |
10 |
| PharmaSUG |
2019 |
Best Practices in Data Standards Governance |
Melissa R. Martinez |
source |
4 |
| PharmaSUG |
2019 |
Designing Flexible Data Standards Models |
Melissa R. Martinez |
source |
4 |
| PharmaSUG |
2019 |
Metadata Repository V1.0 - A Case Study in Standards Governance |
Aparna Venkataraman |
source |
7 |
| PharmaSUG |
2019 |
PROC SQL to the Rescue: When a Data Step Just Won-t Do Anymore |
John R. O'Leary |
source |
11 |
| PharmaSUG |
2019 |
SDSP (Study Data Standardization Plan) Case Studies and Considerations |
Kiran Kumar Kundarapu |
source |
8 |
| PharmaSUG |
2019 |
Streamlining the Metadata Management Process Using SAS Life Science Analytics Framework |
Alex Ford |
source |
6 |
| PharmaSUG |
2019 |
The Anatomy of Clinical Trials Data: A Beginner's Guide |
Venky Chakravarthy |
source |
14 |
| PharmaSUG |
2019 |
The Need for Therapeutic Area User Guide Implementation |
Michael Beers |
source |
8 |
| SGF |
2019 |
Data Modeling for a Better Analytical Environment |
Linus Hjorth |
source |
12 |
| SGF |
2019 |
Zero-Inflated and Zero-Truncated Count Data Models with the NLMIXED Procedure |
Robin High |
source |
18 |
| PHUSE US |
2019 |
A Linked Data Model and Hypermedia API for CDISC Share 2.0 |
Samuel Hume, Frederik Malfait |
source |
12 |
| PHUSE US |
2019 |
A Paradigm Shift to Represent and Manage Clinical Data Standards for Creating Data-driven Specification |
Veena Nataraj |
source presentation source |
9 |
| PHUSE US |
2019 |
Best Practices in Data Standards Governance |
Melissa R. Martinez |
source presentation source |
3 |
| PHUSE US |
2019 |
Building SQL Scripts Using Google Sheets R and R Shiny |
Huiming Tu |
source presentation source |
19 |
| PHUSE US |
2019 |
Developing SEND for CBER - Collaborative Workstream Initiative |
Lisa Lin, Susan DeHaven |
source presentation source |
6 |
| PHUSE US |
2019 |
Developing, Implementing and Governing End-to-End Standards at Gilead |
Dhananjay Chhatre |
source presentation source |
5 |
| PHUSE US |
2019 |
Evolving CDISC to the Next Decades: The CDISC Proof of Concept |
Peter Van Reusel, Samuel Hume |
source presentation source |
3 |
| PHUSE US |
2019 |
High-quality Study Data Standards for Submission |
Majdoub Haloui, Ellen L. Asam |
source presentation source |
9 |
| PHUSE US |
2019 |
Making the Case for Metadata Development |
Mike Molter |
source presentation source |
7 |
| PHUSE US |
2019 |
Mapping Programs - Written by MDR |
Jörn Bilow |
source presentation source |
2 |
| PHUSE US |
2019 |
Maximizing the Use of Patient Data Warehouse via Visual Analytics |
Sandy Lei, Simon Alex |
source presentation source |
7 |
| PHUSE US |
2019 |
Metadata-driven Automation in Drug Research |
Hanming Tu, Zhongping Lin |
source presentation source |
13 |
| PHUSE US |
2019 |
Next Generation Data Management: Case Studies for Ontology-driven Graph Databases |
Jim Lapointe |
source presentation source |
8 |
| PHUSE US |
2019 |
SDSP (Study Data Standardization Plan) Case Studies and Considerations |
Kiran Kumar Kundarapu, Nicole Gallegos |
source poster source |
6 |
| PHUSE US |
2019 |
Striking a Balance: Adoption of Analysis Results Metadata (ARM) in Early Development Studies |
Janet Low, Pranab K. Mitra |
source presentation source |
6 |
| PHUSE US |
2019 |
The Need for Therapeutic Area User Guide Implementation |
Michael Beers |
source presentation source |
7 |
| PHUSE US |
2019 |
What Does Good Look Like in the Study Data Standardization Plan (SDSP)? |
Pritesh Solanki, Janet Low |
source presentation source |
5 |
| PHUSE EU |
2018 |
Data Transparency - Breaking Down Data Silos for Improved Insight |
Peter Tormay, Anna Berg |
source presentation source |
8 |
| PHUSE EU |
2018 |
Diagnostics of technical errors in define.xml file |
Sergiy Sirichenko, Max Kanevsky |
source presentation source |
9 |
| PHUSE EU |
2018 |
Is it Possible to Make a Global CDISC Submission? |
Marianne Carames |
source presentation source |
2 |
| PHUSE EU |
2018 |
Mapping Programs - Written by MDR |
Jörn Bilow |
source presentation source |
2 |
| PHUSE EU |
2018 |
Top Five Challenges in Complying with CDISC Standards |
Trine Danø Klingberg, Mikkel Traun |
source presentation source |
4 |
| PHUSE EU |
2018 |
Use of HL7 FHIR as eSource to Pre-populate CDASH Case Report Forms Using a CDISC ODM API |
Samuel Hume, Geoff Low |
source presentation source |
12 |
| SESUG |
2018 |
Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
source |
20 |
| WUSS |
2018 |
Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
source |
21 |
| PHUSE US |
2018 |
A Successful Meta-Data Repository (MDR): It's About Managing Relationships |
Philip Giangiulio, Melanie A. Paules |
source presentation source |
7 |
| PHUSE US |
2018 |
Automate Analysis Result Metadata in the Define-XML v2.0 |
Hong Qi, Larry Wu |
source presentation source |
8 |
| PHUSE US |
2018 |
Challenges and Tactics of Managing Clinical Programming in Long Term Outcomes Trials |
David L. Wade, Joanne C. Zhou, Rakesh Kumar |
source presentation source |
6 |
| PHUSE US |
2018 |
Commissioning a MDR System: Next-generation of Standards implementation |
Abhinav Jain |
source presentation source |
6 |
| PHUSE US |
2018 |
Comparing and Contrasting Differences between the PHUSE SDSP and CBER Checklist |
Janet Low, Pritesh Solanki |
source presentation source |
5 |
| PHUSE US |
2018 |
FDA CBER Data Standards Activity Update |
Lisa Lin |
source presentation source |
4 |
| PHUSE US |
2018 |
FDA View: Technical Rejection Criteria for Study Data |
Ethan Chen, Lilliam Rosario |
source presentation source |
4 |
| PHUSE US |
2018 |
How to Prepare High Quality Metadata for Submission [presentation] |
Varun Debbeti |
source |
31 |
| PHUSE US |
2018 |
Machine Learning Driven Clinical Insights - What When & How? [presentation] |
Chandi Kodthiwada |
source |
5 |
| PHUSE US |
2018 |
Making PK Analysis Easier: The New ADaM Data Standard ADNCA |
Peter Schaefer |
source presentation source |
6 |
| PHUSE US |
2018 |
Ready Set Go: Planning and Preparing a CDISC Submission |
Maria Dalton |
source presentation source |
11 |
| PHUSE US |
2018 |
Role of Associate Director of Biomedical Informatics in Clinical Review at the FDA |
Nhi Beasley |
source |
2 |
| PHUSE US |
2018 |
SDTM and SEND: An Integrated View and Approach |
Veena Nataraj, Cheryl Riel |
source presentation source |
11 |
| PHUSE US |
2018 |
Use of HL7 FHIR as eSource to Pre-populate CDASH Case Report Forms Using a CDISC ODM API |
Samuel Hume, Geoff Low |
source presentation source |
12 |
| PharmaSUG |
2018 |
A Framework for Implementing [Conflicting] FDA Guidance |
Todd Case |
source |
6 |
| PharmaSUG |
2018 |
Automating and Abstracting SAS Format Creation: Leveraging the CNTLIN Option To Build Dynamic SAS Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
source |
21 |
| PharmaSUG |
2018 |
Avoid chasing one's Tail - Challenges and Solutions for managing changes in SDTM Standards Development |
Erica Davis, Veena Nataraj |
source |
7 |
| PharmaSUG |
2018 |
Best Practices in Data Standards Governance |
Melissa R. Martinez |
source |
4 |
| PharmaSUG |
2018 |
Complying with the ADaM Compliance Rules |
Alyssa M. Wittle, Steven R. Kirby |
source |
4 |
| PharmaSUG |
2018 |
Data Standards for Population Pharmacokinetic (POPPK) and Non-Compartmental Analysis (NCA) |
Neelima Thanneer |
source |
7 |
| PharmaSUG |
2018 |
Designing Flexible Data Standards Models |
Melissa R. Martinez |
source |
4 |
| PharmaSUG |
2018 |
Diagnostics of technical errors in define.xml file |
Sergiy Sirichenko, Max Kanevsky |
source |
9 |
| PharmaSUG |
2018 |
Electronic Data Submission and Utilization in Japan |
Yuki Ando |
source |
25 |
| PharmaSUG |
2018 |
How PK and PD analyses drive dataset designs |
David Radtke, Brian A. Moser |
source |
7 |
| PharmaSUG |
2018 |
Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies |
Kelci J. Miclaus, Lili Li |
source |
12 |
| PharmaSUG |
2018 |
Why organizations need MDR systems to manage metadata? |
Abhinav Jain |
source |
7 |
| SGF |
2018 |
Alternative Variance Parameterizations in Count Data Models |
Robin High |
source |
14 |
| SGF |
2018 |
The Anatomy of Clinical Trials Data: A Beginner's Guide |
Venky Chakravarthy |
source |
14 |
| PHUSE EU |
2017 |
Ahead of the Curve: Leading with Industry Data Requirements |
Nancy Haeusser |
source presentation source |
8 |
| PHUSE EU |
2017 |
Applying the OMOPCommon Data Model to Dutch Healthcare Data: A Case Study |
Rients van Wijngaarden |
source presentation source |
5 |
| PHUSE EU |
2017 |
Career Development Through Job Rotation: Cases and Lessons Learned |
Simon Wang |
source presentation source |
2 |
| PHUSE EU |
2017 |
CDISC Transport Standards - A Glance |
Edwin Ponraj Thangarajan, Giri Balasubramanian |
source presentation source |
14 |
| PHUSE EU |
2017 |
Clinical Metadata - Web-based metadata management with a CDISC mindset |
Andrew Ndikom, Liang Wang |
source presentation source |
12 |
| PHUSE EU |
2017 |
Clinical Study Oversight: Different Approaches to Using Data Standards |
Jasmine Kestermont, Peter Van Reusel |
source presentation source |
6 |
| PHUSE EU |
2017 |
Cross Functional Standards Governance for Pharma |
Warwick Benger |
source presentation source |
6 |
| PHUSE EU |
2017 |
Cross Functional Standards Governance for Pharma |
Sheetal Patel, Warwick Benger |
source presentation source |
6 |
| PHUSE EU |
2017 |
Harmonizing SDTM at the Source: Designing Collection Instruments that Support Sponsor Standards |
Sue Huxtable, Charlotte Lomberg |
source presentation source |
7 |
| PHUSE EU |
2017 |
How a Metadata Repository can Facilitate Automated Data Collection Processes |
Judith Goud |
source presentation source |
8 |
| PharmaSUG |
2017 |
A Precision-strike Approach to Submission Readiness: How to Prepare Your Filing Teams for Consistent Excellence |
Michael Hagendoorn, Tony Chang |
source |
7 |
| PharmaSUG |
2017 |
Ahead of the Curve: Leading with Industry Data Requirements |
Maria Dalton, Nancy Haeusser |
source |
17 |
| PharmaSUG |
2017 |
Gray Areas of ADaM and Ways to Provide Color [presentation] |
Susan J. Kenny, Sandra Minjoe, Nate Freimark, Jack Shostak, John K. Troxell, Deborah J. Bauer |
source |
38 |
| PharmaSUG |
2017 |
Quality Check your CDISC Data Submission Folder Before It Is Too Late! |
Bhavin Busa |
source |
9 |
| PharmaSUG |
2017 |
Tips and Best Practices using SAS Analytics |
Tho H. Nguyen, Paul Segal |
source |
7 |
| SGF |
2017 |
Develop a Simple Data Governance Program for a SAS Customer Intelligence Environment in 90 Days |
Aaron Nelson |
source |
12 |
| SGF |
2017 |
Implementing Role-Based Access Control and DSoD Authorization Schema on SAS |
Perttu Muurimaki |
source |
15 |
| SGF |
2017 |
Investigating Connections between Disparate Data Sources with SAS Visual Investigator |
Gordon Robinson |
source |
10 |
| SESUG |
2016 |
Predicting student success based on interactions with virtual learning environment |
Vivek Doijode, Neha Singh |
source |
10 |
| PHUSE EU |
2016 |
Data Standards Governance |
João Gonçalves |
source presentation source |
6 |
| PHUSE EU |
2016 |
Effective Use of a Metadata Repository Across Data Operations: The Need for a Machine Readable Form |
Isabelle de Zegher, Michele Gray, Mark Sullivan, Michael Goedde |
source presentation source |
5 |
| PHUSE EU |
2016 |
Efficiency comes From Reusability and Repeatability |
Hanming Tu, Dave Evans |
source presentation source |
10 |
| PHUSE EU |
2016 |
Pattern-based MDR: Towards High-quality Data Standards |
Alan Cantrell, Julius Kusserow |
source presentation source |
7 |
| PHUSE EU |
2016 |
Planning for Data Reporting Processes for Submission: Key Considerations |
Parag Shiralkar |
source presentation source |
2 |
| PHUSE EU |
2016 |
Reflect on Your Data |
Peter Tormay, Henrik Drews |
source presentation source |
9 |
| PHUSE EU |
2016 |
The Playbook: Real-world Data to Real-world Intelligence |
Laurie Rose, S. Robert Collins |
source presentation source |
7 |
| PHUSE EU |
2016 |
To Create Define-XML Using - XML and the OpenCDISC Validator [presentation] |
Murali Neela |
source |
17 |
| PHUSE EU |
2016 |
Understanding the Potential of Share: A Visual Business Case and Technical Use Case |
Peter Van Reusel |
source presentation source |
4 |
| PharmaSUG |
2016 |
Achieving Clarity through Proper Study Documentation: An Introduction to the Study Data Reviewer's Guide (SDRG) |
Michael Stackhouse, Terek J. Peterson |
source |
5 |
| PharmaSUG |
2016 |
Preparing Legacy Format Data for Submission to the FDA - When & Why Must I Do It, What Guidance Should I Follow? |
David C. Izard |
source |
11 |
| PharmaSUG |
2016 |
Submission-Ready Define.xml Files Using SAS Clinical Data Integration |
Melissa R. Martinez |
source |
10 |
| SGF |
2016 |
SAS Customer Intelligence 360: Creating a Consistent Customer Experience in an Omni-channel Environment |
Mark Brown, Brian Chick |
source |
16 |
| PHUSE EU |
2015 |
A Model for Reviewing the Operational Implementation of the CDISC Standards |
Andy Richardson |
source presentation source |
7 |
| PHUSE EU |
2015 |
Data-centric System Development Life Cycle for Automated Clinical Data Development Systems |
Kevin Lee |
source presentation source |
5 |
| PHUSE EU |
2015 |
E2E Data Standards: The Need for a New Generation of Metadata Repositories |
Isabelle de Zegher |
source presentation source |
4 |
| PHUSE EU |
2015 |
FDA Review Principles Applied to CRO Oversight |
Sascha Ahrweiler, Grace Ignacio |
source presentation source |
7 |
| PHUSE EU |
2015 |
From Data to Knowledge: Semantics and Implementations |
Judith Goud, Julie Smiley |
source presentation source |
5 |
| PHUSE EU |
2015 |
Understanding SE, TA, TE Domains |
Jacques Lanoue |
source presentation source |
4 |
| PharmaSUG CN |
2015 |
Reading and Resolving OpenCIDSC Message [presentation] |
Yu Pang |
|
23 |
| PharmaSUG |
2015 |
Begin with the End in Mind - Using FDA Guidance Documents as Guideposts when Planning, Delivering and Archiving Clinical Trials |
David C. Izard |
source |
12 |
| PharmaSUG |
2015 |
Managing Custom Data Standards in SAS Clinical Data Integration |
Melissa R. Martinez |
source |
17 |
| PharmaSUG |
2015 |
PhUSE De-Identification Working Group: Providing De-Identification Standards to CDISC Data Models |
Jean-Marc Ferran, Jacques Lanoue |
source |
8 |
| PharmaSUG |
2015 |
Understanding SE, TA, TE Domains |
Jacques Lanoue |
source |
4 |
| PharmaSUG |
2015 |
Using SAS Clinical Data Integration to Roundtrip a Complete Study Study Metadata (Define-XML) and Study Data (Dataset-XML) |
Ken Ellis |
source |
19 |
| SGF |
2015 |
SASTRACE: Your Key to RDBMS Empowerment |
Andrew Howell |
source |
12 |
| SGF |
2015 |
The Business of Campaign Response Tracking |
Pamela Dixon |
source |
8 |
| PHUSE EU |
2014 |
ADaM Standards: What's New? |
Gavin Winpenny |
source presentation source |
9 |
| PHUSE EU |
2014 |
CDISC Dataset-XML - A Dataset Structure for Clinical Trial Data Transport for Future Drug Submissions |
Joerg Dillert |
source presentation source |
6 |
| PHUSE EU |
2014 |
Change Management - An ICON Approach and Case Study |
Anagha Pradhan |
source presentation source |
4 |
| PHUSE EU |
2014 |
Clinical Study Data Processes @ LEO Pharma |
Joergen Iversen |
source presentation source |
4 |
| PHUSE EU |
2014 |
Data Transparency through Metatada Management |
Judith Goud, Julie Smiley |
source presentation source |
4 |
| PHUSE EU |
2014 |
Data Transparency: Data De-identification and the Role of the Programmer [presentation] |
Jean-Marc Ferran |
source |
20 |
| PHUSE EU |
2014 |
Every Study is Special! - Governing Data Standards |
Chris Price, Elizabeth Nicol |
source presentation source |
12 |
| PHUSE EU |
2014 |
FDA Guidance on Standardised Study Data for Electronics Submissions |
Lauren L. Shinaberry, Éanna Kiely |
source presentation source |
7 |
| PHUSE EU |
2014 |
Is Your Clinical Data Standards Library Ready for Change? Adapting to TA Specific Standards |
Lauren L. Shinaberry |
source presentation source |
6 |
| PHUSE EU |
2014 |
Metadata, Study Standards, Interoperability: Key Concepts Toward Compliance to FDA Guidance |
Isabelle de Zegher |
source presentation source |
3 |
| PHUSE EU |
2014 |
Models, Metadata and Messaging: Exploring Standards Governance in the CDISC Era |
Kenneth Stoltzfus |
source presentation source |
6 |
| PHUSE EU |
2014 |
Representation of CDISC Foundational Standards Using RDF Authors |
Scott A. Bahlavooni, Frederik Malfait |
source presentation source |
3 |
| PHUSE EU |
2014 |
Spotfire for Clinical and Translational Medicine |
Gerard Conway |
source |
3 |
| PHUSE EU |
2014 |
Standards Driven Innovation [presentation] |
Frederik Malfait |
source |
36 |
| PHUSE EU |
2014 |
The Capish Information Model - Simplify Access to Your Data |
Anna Berg, Catharina Dahlbo |
source presentation source |
8 |
| PHUSE EU |
2014 |
The PHUSE Therapeutic Area Wiki Page |
Jothy Kalathiparampil, Oliver Wirtz |
source presentation source |
2 |
| PHUSE EU |
2014 |
Update on Regulatory Guidance: Data Standardisation Planning for Clinical Development Programs |
James R. Johnson |
source presentation source |
10 |
| MWSUG |
2014 |
SAS In-Memory Analytics: Beyond Foundation SAS |
Tho H. Nguyen, John Cunningham |
|
4 |
| WUSS |
2014 |
SAS In-Memory Analytics: Beyond Foundation SAS |
John Cunningham, Tho H. Nguyen |
source |
4 |
| PharmaSUG |
2014 |
A Road Map to Successful CDISC ADaM Submission to FDA: Guidelines, Best Practices & Case Studies |
Vikash Jain, Sandra Minjoe |
source |
9 |
| PharmaSUG |
2014 |
Adopted Changes for SDTMIG v3.1.3 and 2013 OpenCDISC Upgrades |
Yi Liu, Stephen Read |
source |
17 |
| PharmaSUG |
2014 |
Clinical Trial Data Integration: The Strategy, Benefits, and Logistics of Integrating Across a Compound |
Natalie Reynolds, Keith Hibbetts |
source |
12 |
| PharmaSUG |
2014 |
Data Standards Development for Therapeutic Areas: A Focus on SDTM-Based Datasets |
Fred Wood, Diane Wold, Rhonda Facile, Wayne Kubick |
source |
10 |
| PharmaSUG |
2014 |
Forging New SDTM Standards for In-Vitro Diagnostic (IVD) Devices: A Use-Case |
Carey G. Smoak, Smitha Krishnamurthy, Mansi Singh, Sy J. Truong |
source |
6 |
| SGF |
2014 |
CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics |
Joe Whitehurst, Diane Hatcher |
source |
16 |
| SGF |
2014 |
Integrating and Using Hierarchical Vocabularies in SAS |
Glenn Colby |
source |
22 |
| PHUSE EU |
2013 |
Going Against the Flow: Backmapping SDTM Data |
Panteleo Nacci |
source presentation source |
7 |
| PHUSE EU |
2013 |
Is your Library a Success: Manage & Measure Conformance Across Partners and Projects |
Lauren L. Shinaberry, Bart Van Win |
source presentation source |
4 |
| PHUSE EU |
2013 |
Leading a Team When you are Note the Subject Matter Expert |
Vijay Reddi |
source presentation source |
8 |
| PHUSE EU |
2013 |
Semantic Technology and CDISC Standards |
Frederik Malfait, Scott A. Bahlavooni |
source presentation source |
13 |
| PHUSE EU |
2013 |
Standards for the Management of Clinical Trial Data, Why are they Needed, What is Needed? |
Isabelle Abousahl |
source presentation source |
11 |
| PHUSE EU |
2013 |
Standards Governance - A First Insight |
Claudia Meurer |
source presentation source |
6 |
| PHUSE EU |
2013 |
The Evolution of SDTM - What's New |
Tina Apers |
source presentation source |
5 |
| PHUSE EU |
2013 |
Time Travel for Librarians: Versioning Complex Library Metadata for Past, Present or Future Retrieval |
Nico De Leeuw, Ine Felsenstein |
source presentation source |
12 |
| NESUG |
2013 |
Pooling strategy for clinical data |
Abraham Yeh, ShinRu Wang, Xiaohong Zhang |
|
11 |
| PharmaSUG |
2013 |
From Standards that Cost To Standards that Save: Cost Effective Standards Implementation |
Jeffrey M. Abolafia, Frank C. DiIorio |
source |
9 |
| PharmaSUG |
2013 |
Getting Ready for PDUFA V - The New "GCP": Governance, Communication, Planning |
Joanna Koft |
source |
5 |
| PharmaSUG |
2013 |
Introduction to the CDISC Standards |
Sandra Minjoe |
source |
10 |
| PharmaSUG |
2013 |
Life Cycle of a Data Point - A Tool to Educate the Clinical Development Team on What it Takes to Go From the Clinic to a Submission |
Arthur Collins, Joanna Koft |
source |
4 |
| PharmaSUG |
2013 |
Map Metadata - Going Beyond the Obvious/Connecting the Dots |
Gregory C. Steffens, Praveen Garg |
source |
8 |
| PharmaSUG |
2013 |
OpenCDISC: Beyond Point and Click |
Frank C. DiIorio |
source |
12 |
| PharmaSUG |
2013 |
Standardizing the Standards: A Road Map for Establishing, Implementing and Unifying Standards in Your Organization |
Amy Caison, Jhelum Naik, Tammy Jackson |
source |
9 |
| SGF |
2013 |
Fueling the Future of an Energy Company |
Stijn Vanderlooy |
source |
11 |
| SGF |
2013 |
Hot off the Press: SAS Marketing Automation 6.1 |
Brian Chick, Mark Brown |
source |
16 |
| SGF |
2013 |
Using SAS to Dynamically Generate SAS Code in Order to Display Both Variable Label and Name as Column Header in PROC REPORT and PROC PRINT |
Heli Ghandehari, Victor Lopez |
source |
5 |
| NESUG |
2012 |
Length of Intensive Care Unit Stay Computed from the VA Corporate Data Warehouse |
Adeline J. Wilcox |
|
14 |
| PHUSE EU |
2012 |
Mapping the Company's Legacy Data Model to SDTM |
Anja Feuerbacher, Bruce Rogers |
source presentation source |
7 |
| PHUSE EU |
2012 |
One Approach to a Metadata and Data Standards Repository |
Bill J. Gibson |
source poster source |
4 |
| PHUSE EU |
2012 |
Using Metadata to Integrate and Standardise Clinical Trial Data - the ICON Study Data Mapper |
Paul Crean, Jennie McGuirk |
source presentation source |
6 |
| SESUG |
2012 |
An Introduction to the Clinical Standards Toolkit |
Mike Molter |
source |
13 |
| SESUG |
2012 |
SAS Programming tips and techniques for Data Mapping |
Sheetal Nisal |
source |
7 |
| PharmaSUG |
2012 |
An Introduction to the Clinical Standards Toolkit and Clinical Data Compliance Checking |
Mike Molter |
source |
14 |
| PharmaSUG |
2012 |
Experiences in Leading a Company-Wide First CDISC Filing from a Programming Perspective |
Sho-Rong Lee |
source |
6 |
| SGF |
2012 |
Beyond Star Schema: Exploring the Next Query Generation with the SAS Enterprise BI Server |
Fred Levine |
source |
6 |
| SGF |
2012 |
Defining the Development Process and Governance of Implementing ADaM within an Organization |
Chris Decker |
source |
11 |
| SGF |
2012 |
Developing Custom Metadata Reports for SAS Data Integration Studio |
Michael Kilhullen |
source |
12 |
| SGF |
2012 |
How Does SAS In-Database Analytics Impact Data Management? |
Adrian Jones |
source |
8 |
| SGF |
2012 |
Using Custom Data Standards in SAS Clinical Data Integration |
Michael Kilhullen |
source |
11 |
| SESUG |
2011 |
Proc CDISC: Implementation and Assessments |
Sheetal Nisal |
source |
6 |
| PHUSE EU |
2011 |
Creating ADaM Friendly Analysis Data from SDTM Using Meta Data |
Erik Brun, Rico Schiller |
source presentation source |
6 |
| PHUSE EU |
2011 |
Defining the Governance and Process of Implementing ADaM across an Organization |
Chris Decker |
source presentation source |
11 |
| PHUSE EU |
2011 |
Implementing ADaM Using the SAS Clinical Standards Toolkit |
Gene Lightfoot |
source presentation source |
12 |
| PHUSE EU |
2011 |
SAS Drug Development as a platform governing data standards specification and clinical data exchange between pharmaceutical organizations |
Tina Apers |
source presentation source |
56 |
| MWSUG |
2011 |
Driving Clinical Safety Reviews with Data Standards |
Geoffrey A. Mann |
|
7 |
| SGF |
2011 |
Base SAS Methods for Building Dimensional Data Models |
Christopher W. Schacherer |
source |
12 |
| SGF |
2011 |
Driving Clinical Safety Reviews with Data Standards |
Geoffrey A. Mann |
source |
7 |
| SGF |
2011 |
How TV 2 Improves Data Quality and Facilitates a Unified Customer View for Optimizing the Customer Experience |
Svein O. Gundhus, Terje Vatle |
source |
12 |
| SGF |
2011 |
PROC PANEL Vs. A FAST ALGORITHM FOR ESTIMATION OF UNBALANCED PANEL DATA MODELS WITH TWO FIXED EFFECTS |
Alan Ricardo da Silva, Mariana Fernandes Teixeira, Thaís Helena Fernandes Teixeira |
source |
12 |
| SGF |
2011 |
State of the Union: The Crossroads of CDISC Standards and SAS Supporting Role |
Michael J. Molter, Chris Decker |
source |
14 |
| NESUG |
2010 |
The Past, Present, and Future of Clinical Data Standards |
Chris Decker |
|
10 |
| PHUSE EU |
2010 |
AstraZENeca and the ART of metadata maintenance |
Paul Frost |
source presentation source |
11 |
| PHUSE EU |
2010 |
Bridging the communication gap: implementing metadata standards in trial protocols |
Annabel Acs |
source presentation source |
7 |
| PHUSE EU |
2010 |
Challenges of Clinical projects shared between Pharma Companies [presentation] |
Oliver LeConte |
source |
27 |
| PHUSE EU |
2010 |
Define.xml - Tips and Techniques for Creating CRT-DDS |
Julie A. Maddox, Mark Lambrecht |
source presentation source |
10 |
| PHUSE EU |
2010 |
From Data Capture to Decision Making Innovation through Standardization |
Michaela Jahn, Stephan Laage-Witt |
source |
5 |
| PHUSE EU |
2010 |
Introduction to SAS Clinical Standards Toolkit |
Andreas Mangold, Nicole Waechter |
source presentation source |
16 |
| PHUSE EU |
2010 |
The Use of Meta Data in Creating, Transforming and Transporting Clinical Data |
Gregory C. Steffens |
source presentation source |
9 |
| PharmaSUG |
2010 |
Accessing and using the metadata from the define.xml |
Lex Jansen |
|
22 |
| PharmaSUG |
2010 |
Accessing and using the metadata from the define.xml [presentation] |
Lex Jansen |
|
74 |
| PharmaSUG |
2010 |
Managing Clinical Data Standards: An Introduction to SAS Clinical Data Integration |
Michael Kilhullen |
|
10 |
| PharmaSUG |
2010 |
Quality in a World of "Standards" with Differences! |
Sandra VanPelt Nguyen |
|
9 |
| PharmaSUG |
2010 |
Thanks CDISC - Free Utilities |
Robert Agostinelli |
|
5 |
| SGF |
2010 |
Business Intelligence Solution to Improve Educational Standards and Performance for an Australian State Education Authority |
Gurupratap S. Dsor |
source |
4 |
| SGF |
2010 |
Managing Clinical Data Standards: An Introduction to SAS Clinical Data Integration |
Michael Kilhullen |
source |
10 |
| SGF |
2010 |
So You Need a Data Warehouse But Don't Have the Budget to Build One: What Now? |
Steve Morton |
source |
11 |
| SGF |
2010 |
Tabular Reporting Data Standard |
Frederick A. Cieri |
source |
9 |
| SGF |
2010 |
The Past, Present, and Future of Clinical Data Standards |
Chris Decker |
source |
10 |
| SGF |
2010 |
Understanding the define.xml File and Converting It to a Relational Database |
Lex Jansen |
source |
20 |
| PHUSE EU |
2009 |
Building and maintaining a clinical data warehouse - challenges and opportunities for pharmaceutical programmers [presentation] |
Juergen Kuebler |
source |
15 |
| PHUSE EU |
2009 |
Clinical DI Studio - will we need new MetaProgrammers? |
Simon Wilcock, Sireesha Potula |
source presentation source |
11 |
| PHUSE EU |
2009 |
ETL and the Clinical Programmer - They don't have to be Enemies! |
Chris Decker, Christopher R. Olinger |
source |
11 |
| PHUSE EU |
2009 |
SDTM Validation: How can we do it right? |
Peter Van Reusel |
source presentation source |
8 |
| PHUSE EU |
2009 |
Using SAS Clinical Data Integration Server to Implement and Manage CDISC Standards |
Julie A. Maddox |
source presentation source |
8 |
| NESUG |
2009 |
Deciding if the EM Algorithm is the Right Choice |
Michael B. Moldoff |
|
3 |
| WUSS |
2009 |
The Second CDISC Pilot Project: A Metastandard for Integrating Databases |
Gregory C. Steffens, Ian Fleming |
source |
5 |
| PharmaSUG |
2009 |
Converting the define.xml to a Relational Database to Enable Printing and Validation [presentation] |
Lex Jansen |
|
76 |
| PharmaSUG |
2009 |
RS01 The Second CDISC Pilot Project A Metastandard for Integrating Databases |
Gregory C. Steffens |
|
4 |
| SGF |
2009 |
Implementing CDISC When You Already Have Standards: A Case Study |
Sandra Minjoe |
source |
10 |
| SGF |
2009 |
The Second CDISC Pilot Project: Standards for Integrating Databases |
Ian Fleming, Gregory C. Steffens |
source |
4 |
| SGF |
2009 |
Using SAS Clinical Data Integration Server to Implement and Manage CDISC Standards |
Michael Kilhullen |
source |
7 |
| PHUSE EU |
2008 |
CDISC Implementation Strategies: Exploit your data assets while still giving the FDA what they want |
David Smith |
source |
9 |
| PHUSE EU |
2008 |
Implementing CDISC at Boehringer Ingelheim |
Michael Knoessl, Peter Leister |
source |
5 |
| PharmaSUG |
2008 |
Cost-Effective Solution to Automating the Creation of CDISC define.xml: Using SAS Data _Null_ with Relational Data Model via SAS/AF Application |
Annie S. Guo |
|
12 |
| PharmaSUG |
2008 |
SDTM, Plus or Minus |
Barry R. Cohen |
|
6 |
| SGF |
2008 |
Modeling Zero-Inflated Count Data with Underdispersion and Overdispersion |
Adrienne Tin |
source |
11 |
| WUSS |
2007 |
RDBMS Setup and Authentication in SAS 9 |
Paresh M. Patel, Richard Kerwin |
source |
9 |
| PHUSE EU |
2007 |
All roads lead to SDTM - which one shall we take? |
Ian Fisher, Donna Thompson |
source |
9 |
| PharmaSUG |
2007 |
CDISC Implementation Step by Step: A Real World Example |
Sy J. Truong |
|
19 |
| PharmaSUG |
2007 |
SDTM, Plus or Minus |
Barry R. Cohen |
|
6 |
| PharmaSUG |
2007 |
The Submission Data File System Automating the Creation of CDISC SDTM and ADaM Datasets |
Marcus Bloom, David Edwards |
|
15 |
| PharmaSUG |
2007 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
|
21 |
| PNWSUG |
2006 |
Advanced Warehousing with SAS9 |
Gary Mehler |
|
17 |
| PHUSE EU |
2006 |
Contours of a Drug Development Data Warehouse |
Paul Vervuren |
source |
8 |
| PHUSE EU |
2006 |
The Submission Data File System Automating the Creation of CDISC SDTM and ADaM Datasets |
David Edwards, Marcus Bloom |
source |
6 |
| PHUSE EU |
2006 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
source |
21 |
| SESUG |
2006 |
Stars and Models: How to Build and Maintain Star Schemas Using SAS Data Integration Server in SAS9 |
Nancy A. Rausch |
source |
24 |
| WUSS |
2006 |
Advanced Warehousing with SAS9 |
Gary Mehler |
source |
17 |
| NESUG |
2006 |
Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard |
Barry R. Cohen |
|
8 |
| PharmaSUG |
2006 |
Using SAS ETL Studio to Convert Clinical Trials Data to the CDISC SDTM |
Barry R. Cohen |
|
10 |
| SUGI |
2006 |
Advanced Warehousing with SAS9 |
Gary Mehler |
source |
17 |
| SUGI |
2006 |
Hiding the Complexity: A Customized Application for Accessing Multidimensional Data |
Phil Rhodes |
source |
7 |
| SUGI |
2006 |
SAS/OR - Making Sense of Network Data with Network Visualization Workshop |
Edward P. Hughes, Phil Meanor |
source |
20 |
| SUGI |
2006 |
Stars and Models - How to Build and Maintain Star Schemas Using SAS ETL Server |
Nancy A. Rausch |
source |
24 |
| PHUSE EU |
2005 |
Best Practices for Managing Clinical Research Information |
David Handelsman |
source |
16 |
| WUSS |
2005 |
Data Integrity through DEFINE.PDF and DEFINE.XML |
Sy J. Truong |
source |
14 |
| WUSS |
2005 |
Transforming Data for CDISC and ISS |
Sy J. Truong |
source |
11 |
| PharmaSUG |
2005 |
Pharmacovigilance and Drug Safety Reporting Algorithms (Content and Process) |
David Olaleye, Michael Kilhullen, Gail Kongable, Tanyss Mason, Eugenia Bastos, Edward D. Helton |
|
8 |
| SUGI |
2005 |
Implementing Data Warehousing and Business Intelligence at McMaster University Using the SAS Intelligence Value Chain |
Debbie Weisensee, Eric Matthews, Anne McInnis |
source |
10 |
| SUGI |
2005 |
PreMIS: Pre-hospital Medical Information System |
Jeff Wright, Patrick H. Alston, Sharon Schiro, Tim Walters |
source |
12 |
| WUSS |
2004 |
The Path to Data Standards |
Sy J. Truong |
source |
10 |
| PharmaSUG |
2004 |
Data Standards with and without CDISC |
Sy J. Truong |
|
8 |
| PharmaSUG |
2004 |
Tools to Facilitate the Creation of Pooled Clinical Trials Databases |
Patricia Majcher |
|
8 |
| WUSS |
2003 |
Snapshots from Hell: Practical Issues in Data Warehousing |
Tyson Lee |
source |
5 |
| WUSS |
2003 |
Using Graph-N-Go To Easily Present Your Data And Webenable Your Graphs |
Curtis A. Smith |
source |
8 |
| SESUG |
2003 |
New Technologies for Delivering Data to Internal and External Clients |
Sigurd W. Hermansen |
source |
5 |
| SEUGI |
2003 |
AstraZeneca Data Migration Project [presentation] |
David Smith, Paul Frost |
source |
39 |
| SEUGI |
2003 |
Business Intelligence with SAS 9.1 [presentation] |
Mark Torr |
source |
31 |
| SEUGI |
2003 |
Intelligent Storage [presentation] |
Ingo Brenckmann |
source |
19 |
| SEUGI |
2003 |
SAS ETL Studio @ work [presentation] |
Wilbram Hazejager |
source |
26 |
| SEUGI |
2003 |
Second-generation data warehouse - strategic and tactics at the Vilnius Bank [presentation] |
Laukai |
source |
22 |
| SEUGI |
2003 |
SPDE engine usage made easy with the SAS 9.1 metadata architecture [presentation] |
Jochen Kirsten |
source |
99 |
| PharmaSUG |
2003 |
Clinical Data Model and FDA/CDISC Submissions |
Mark Edwards, Gajanan Bhat |
|
10 |
| PharmaSUG |
2003 |
Clinical Data Standards - An eSubmissions Perspective |
Shy Kumar |
|
6 |
| PharmaSUG |
2003 |
Standardizing Data Processing and e-Publishing for the Pharmaceutical Industry |
Shawn Wang |
|
6 |
| PharmaSUG |
2003 |
StARScope: A Web-Based SAS Prototype for Clinical Data Visualization |
Fang Dong, Subrahmanyam Pilli, Scott Pivirotto, Jeff Van Domelen |
|
6 |
| SUGI |
2003 |
New Technologies for Delivering Data to Internal and External Clients |
Sigurd W. Hermansen |
source |
5 |
| SUGI |
2003 |
StARScope: A Web-Based SAS Prototype for Clinical Data Visualization |
Fang Dong, Thomas Pivirotto, Subrahmanyam Pilli, Jeffrey L. Van Domelen |
source |
|
| MWSUG |
2002 |
V9 OLAP - An Architectural Overview |
Duane E. Ressler |
|
5 |
| WUSS |
2002 |
Generation of a Clinical Data Warehouse across Multiple Companies |
Sarbjit Rai |
source |
4 |
| SEUGI |
2002 |
SAS and the CRO [presentation] |
Peter Stagg |
source |
14 |
| SEUGI |
2002 |
The SAS Enterprise Architecture - Achieving Enterprise Integration [presentation] |
Paul Padley |
source |
48 |
| PharmaSUG |
2002 |
Implementing a Standardized Data Model - A Real Life Experience |
Curtis Wolf, Paul M. Gilbert |
|
4 |
| PharmaSUG |
2002 |
The CDISC Laboratory Data Interchange Standard: Using SAS To Read and Write CDISC Compliant Data Sets and Files |
Margaret Hung |
|
8 |
| SUGI |
2002 |
Data Warehousing for the Enterprise |
Gary Mehler |
source |
8 |
| SUGI |
2002 |
Unit-of-Analysis Programming |
Vanessa C. Hayden |
source |
6 |
| SUGI |
2002 |
V9 OLAP - An Architectural Overview |
Duane E. Ressler |
source |
5 |
| MWSUG |
2001 |
Parsing a SAS Database for Correctness: A Conceptual Introduction |
Edward F. Brown |
|
8 |
| VIEWS |
2001 |
Managing Supplier Relationships In The E-World: The Need For Information [presentation] |
Jennifer Major, Trevor Payne |
|
59 |
| SESUG |
2001 |
OLAP Best Practices - What You Need to Consider When Building and Deploying an OLAP Application |
Greg Henderson |
source |
7 |
| SEUGI |
2001 |
Customer Profiling System in Telecom Italia Mobile [presentation] |
Claudio Bocci, Gianni Santerini |
source |
44 |
| SEUGI |
2001 |
Data Warehouse and Strategic Management - How to Sustain Competitive Advantage [presentation] |
Karin Nischk, Wolfgang Hofbauer |
source |
31 |
| SEUGI |
2001 |
Data Warehouse Technology As The Main Building Block of the Modern IT Strategy of the Polish Customs Adminstration [presentation] |
Andrzej Tyrowicz |
source |
34 |
| SEUGI |
2001 |
Dynamic Budgeting & Plannin [presentation] |
Peter Bull |
source |
33 |
| SEUGI |
2001 |
How To Find Your Way Around A Customer Database [presentation] |
Alberto Saccardi, Fabio Marchetti |
source |
24 |
| SEUGI |
2001 |
Multi-objective modelling of decision making problems using SAS software [presentation] |
J. Pietrzykowski, J. Granat, P. Witan |
source |
30 |
| PharmaSUG |
2001 |
Compass: a web interface to a Data Warehouse for Pharmaceutical Decision Support |
Christine Vander Vorst |
|
2 |
| PharmaSUG |
2001 |
The Changing Nature of SAS Programming in the Pharmaceuticals Industry |
Steven Light |
|
4 |
| PharmaSUG |
2001 |
Unit-of-Analysis Programming |
Vanessa C. Hayden, Fidelity Investments |
|
6 |
| SUGI |
2001 |
Building an Integrated Informational Backplane |
Mark Moorman |
source |
7 |
| SUGI |
2001 |
Data Modeling in Clinical Data Analysis Projects |
Gajanan Bhat |
source |
6 |
| SUGI |
2001 |
Using Graph-N-Go with ODS to Easily Present Your Data and Web-Enable Your Graphs |
Curtis A. Smith |
source |
8 |
| SESUG |
2000 |
Implementing a balanced scorecard solution on top of SAP, using CFO vision as interface |
Ida Carpelle |
source |
6 |
| SESUG |
2000 |
Think Thin 2-D: "Reduced Structure" Database Architecture |
Sigurd W. Hermansen |
source |
5 |
| SEUGI |
2000 |
An online Business Monitoring System - Actual online information on highly automated Business Processes in a large scale SAP Environment - Case Study and Outlook [presentation] |
Elmar Husmann |
source |
20 |
| SEUGI |
2000 |
From Doctor Shopping to Data Warehouseing to Improve Health Outcomes [presentation] |
John Trabinger |
source |
47 |
| SEUGI |
2000 |
From the client datamart to the corporate data warehouse [presentation] |
Daniel Csikos |
source |
19 |
| SEUGI |
2000 |
HR Vision for R/3 & HR knowledge solution [presentation] |
Dave Prinsloo |
source |
44 |
| SEUGI |
2000 |
Implementing a Balanced Scorecard on top of SAP/RE-FI Using SAS CFO Vision as Interface [presentation] |
Ida R. Carapelle, Sophie De Baets |
source |
42 |
| SEUGI |
2000 |
Publitalia '80 Prj. MAGIA - global management of accounting collections [presentation] |
Antonio Bellato |
source |
28 |
| SEUGI |
2000 |
Risk Dimensions V3 Overview [presentation] |
Rik van de Weerthof |
source |
28 |
| SEUGI |
2000 |
SAS environment harnessed to reporting system execution at the customs distributed structure [presentation] |
Tadeusz Lewandowski, Wojciech Bułakowski |
source |
50 |
| SEUGI |
2000 |
The power of HOLAP in a multidimensional world [presentation] |
Massimo Martucci |
source |
42 |
| SUGI |
2000 |
An Application for the Analysis and Visualization of Disease Incidence Data |
Paul Nicholson, Deborah Allon, Estelle A. Gilman |
source |
9 |
| NESUG |
1999 |
Understanding Behavioral Trends and Patterns in Populations: Revisiting the Clinical Pathway Model |
Enya N. B. Garcia |
|
1 |
| SEUGI |
1999 |
An application for the analysis and visualisation of disease incidence data |
Deborah Allon, Estelle Gilman, Paul Nicholson |
source |
9 |
| SEUGI |
1999 |
Exploiting data warehouse metadata for knowledge management [presentation] |
Berthold Weismann |
source |
27 |
| SEUGI |
1999 |
Intranet-based applications in Bank Handlowy [presentation] |
Zdzisław Dec |
source |
23 |
| SEUGI |
1999 |
Star's the limit.Ad hoc, cross-subject queries with the SAS system in a dimensional data warehouse [presentation] |
Wojciech Chybowski |
source |
30 |
| SEUGI |
1999 |
Supply chain management a new challenge for SAS data warehousing [presentation] |
Pascal de Poorter |
source |
33 |
| SUGI |
1999 |
Relational Database Schemes and SAS Software SQL Solutions |
Sigurd W. Hermansen |
source |
9 |
| SUGI |
1999 |
The Quality Data Warehouse - Solving Problems for the Enterprise |
Brad Klenz, Donna O. Fulenwider |
source |
8 |
| SEUGI |
1998 |
Database marketing applications in the Italian banking sector |
Alberto Saccardi, Guido Cuzzocrea |
source |
8 |
| SEUGI |
1998 |
Installation of an MIS and data warehouse in Bank Handlowy in Warsaw: Business Benefits |
Zdzisław Dec |
source |
8 |
| SEUGI |
1998 |
Reporting system for a commercial bank: A case study |
Tadeusz Stawicki |
source |
6 |
| SEUGI |
1998 |
Using SAS Software as a decision support system on top of the R/3 System FI financial accounting module |
Ida R. Carapelle |
source |
14 |
| PharmaSUG |
1998 |
Managing SAS/PH-Clinical in a Multiple Instance Environment |
Steven Light, Paul M. Gilbert |
|
3 |
| SUGI |
1998 |
Building the Framework for Enterprise Data Analysis in the Semiconductor Industry |
John T. Stokes, Roger Thompson |
source |
6 |
| SEUGI |
1997 |
Data Modelling for an epidemiological database |
Deborah Allon, Paul Nicholson |
source |
11 |
| SEUGI |
1997 |
Implementation of data warehouse and reporting at Fokus Bank |
Håvar Wold |
source |
14 |
| SCSUG |
1996 |
The SAS System in a Data Warehouse Environment |
T. Randall Betancourt |
|
12 |
| SESUG |
1996 |
The SAS System in a Data Warehouse Environment |
T. Randall Betancourt |
|
12 |
| MWSUG |
1996 |
The SAS System in a Data Warehouse Environment |
T. Randall Betancourt |
|
12 |
| SEUGI |
1996 |
Building an efficient data warehouse: understanding the issues of data summarization and ... |
Scott Anderson |
source |
52 |
| SEUGI |
1996 |
Data Warehousing |
Sean Kelly |
source |
31 |
| SEUGI |
1996 |
MUDIS - a front ending multidimensional data exploitation application |
Fritz Ederer |
source |
7 |
| SEUGI |
1996 |
Re-engineering the BBL Data Warehouse |
Claude Baillieux |
source |
37 |
| SUGI |
1996 |
Extending SAS/EIS Software |
Ann Weinberger |
source |
7 |
| SUGI |
1996 |
RAD with SAS Software: Strategies, Techniques, and TipS |
Samuel Berestizhevsky, Tanya Kolosova |
source |
6 |
| SEUGI |
1995 |
UBIRIS - A System to Support Investment Research and Publications at UBS |
Beat Moser |
source |
10 |
| MWSUG |
1994 |
Access Control Mechanism in Behaviorally Object-Oriented Databases |
Cristian Radu, Mark Vandenwauver, Rene Govaerts, Joos Vanderwalle |
|
10 |
| SUGI |
1994 |
SAS/GEO-New Tools in the SAS System for Geoscience Professionals |
Gary S. Franklin, Delpfine E. Welch |
source |
3 |
| WUSS |
1993 |
Is the SAS System a Database Management System? |
William D. Clifford |
source |
6 |
| SCSUG |
1993 |
Is the SAS System a Database Management System? |
William D. Clifford |
|
6 |
| SUGI |
1993 |
A GIS Is Born! |
Francois Tessier, Michael Beaudry, Richard Toussaint |
source |
5 |
| SUGI |
1993 |
Is the SAS System a Database Management System? |
William D. Clifford |
source |
6 |
| NESUG |
1992 |
SAS System Supervison - A Version 6 Update |
Merry G. Rabb, Donald J. Henderson, Jeffrey Polzin |
|
8 |
| NESUG |
1990 |
The SAS Supervisor - A Version 6 Update |
Donald J. Henderson, Merry G. Rabb, Jeffrey A. Polzin |
|
11 |
| SUGI |
1982 |
An Integration of System 2000 and Statistical Analysis System (SAS) |
Roger E. Booker |
source |
7 |
| SUGI |
1982 |
The Role of Database Management Systems for Investigative Data |
Gary Anderson |
source |
|