PHUSE Archive
All materials from PHUSE Events (e.g. Connect conferences, SDEs) can be found below. Using the filters will allow you to narrow down your search of our vast archive. In the interest of sharing knowledge, this section is open to everyone.
Please reach out to communications@phuse.global if you require further assistance finding what you need.
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| Event | Year | Region | City | Title | Author | Company | Co-author | Keywords | Links |
|---|---|---|---|---|---|---|---|---|---|
Connect | 2024 | US | Bethesda | AR05: QTLs/Acceptable Ranges: How to Set Thresholds | Debra Jendrasek | Daiichi Sankyo | Marcus Muli | AR05; Analytics Risk-based Monitoring | PRE_AR05.pdf |
Connect | 2024 | US | Bethesda | AR06: Risk-Based Quality Management: It’s Embedded! (Or Is It?) | Michael Walega | Bristol Myers Squibb | Steven Gilbert | AR06; Analytics Risk-based Monitoring | PRE_AR06.pdf |
Connect | 2024 | US | Bethesda | AS01: Applying Machine Learning for Predicting Potential Adverse Events from Real-World Data | Samiul Haque | SAS | AS01; Analytics & Statistics | PRE_AS01.pdfPAP_AS01.pdf | |
Connect | 2024 | US | Bethesda | AS02: From Stowaway to Admiral, a R-iveting Tale of a Hierarchical Composite Endpoint’s Journey from Idea to Dataset | Nicole Major | AstraZeneca | AS02; Analytics & Statistics | PRE_AS02.pdfPAP_AS02.pdf | |
Connect | 2024 | US | Bethesda | AS03: EOSS_MMRM V1.0: A Shiny Application for Estimand-Oriented Sample Size and Power Simulation Using MMRM Modelling | Xiaoli Kong | Wayne State University | Jing Dai | AS03; Analytics & Statistics | PRE_AS03.pdfPAP_AS03.pdf |
Connect | 2024 | US | Bethesda | AS05: Spline Analysis to Understand the Non-linear Relationship in Clinical Research | Anwaya Joshi | Cytel | AS05; Analytics & Statistics | PRE_AS05.pdfPAP_AS05.pdf | |
Connect | 2024 | US | Bethesda | AS06: Real-World Application of Natural Language Processing: More Than Just Sentiment Analyses | Scott McClain | SAS | AS06; Analytics & Statistics | PRE_AS06.pdfPAP_AS06.pdf | |
Connect | 2024 | US | Bethesda | AS07: SAS PROC MI: Your Impeccable Tool for Enhanced Data Analysis Through the Lens of Multiple Imputation | Anush Kurghinyan | Gurus | Shahrzad Talebian | AS07; Analytics & Statistics | PRE_AS07.pdfPAP_AS07.pdf |
Connect | 2024 | US | Bethesda | AS08: Data Designer: Empowering Data Mapping, Manipulation and Analysis for Advanced Insights and Decision-Making | Mukul Mittal | Sanofi | Andre Couturier | AS08; Analytics & Statistics | PRE_AS08.pdfPAP_AS08.pdf |
Connect | 2024 | US | Bethesda | AS09: SPACE – GSK Biostatistics Continues its Journey to a New Frontier | Eileen Ching | GSK | AS09; Analytics & Statistics | PRE_AS09.pdfPAP_AS09.pdf | |
Connect | 2024 | US | Bethesda | AS10: TransCelerate’s Privacy Methodology for Cross-Industry Clinical Data Reuse | Patty Hegarty | Bayer | AS10; Analytics & Statistics | PRE_AS10.pdfPAP_AS10.pdf | |
Connect | 2024 | US | Bethesda | AS12: Analysis of Same Objective – Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? | Pradeep Acharya | Ephicacy Consulting Group | AS12; Analytics & Statistics | PRE_AS12.pdfPAP_AS12.pdf | |
Connect | 2024 | US | Bethesda | DH01: How to Monitor SDTM Data Health | Amanda Cross | Bioforum The Data Masters | DH01; Data Handling & Engineering | PRE_DH01.pdfPAP_DH01.pdf | |
Connect | 2024 | US | Bethesda | DH02: Eliminating SDTM Double Programming by Using a Validation Tool and Dummy Data | Glenn Borgmans | SGS Health Science | Tine Seeuws | DH02; Data Handling & Engineering | PRE_DH02.pdfPAP_DH02.pdf |
Connect | 2024 | US | Bethesda | DH03: Addressing Challenges in Structuring CDISC SDTM and ADaM Datasets to Report Adverse Events Spanning Two Treatment Periods | Madhusudhan Reddy Papasani | Merck | DH03; Data Handling & Engineering | PRE_DH03.pdfPAP_DH03.pdf | |
Connect | 2024 | US | Bethesda | DH04: Data Handling through CDISC Standards in Master Protocols: A Focus on Rescreened and Re-Enrolled Subjects | Swathi Kotla | Merck | Madhusudhan Reddy Papasani | DH04; Data Handling & Engineering | PRE_DH04.pdfPAP_DH04.pdf |
Connect | 2024 | US | Bethesda | DH05: Post-Text (TLGs) to In-Text Statistical Table Automatic Conversion for Clinical Study Reports (CSRs) | Divya Kanniah | Symbiance | Swetha Balaji | DH05; Data Handling & Engineering | PRE_DH05.pdfPAP_DH05.pdf |
Connect | 2024 | US | Bethesda | DH06: A Programmer’s Perspective on Navigating the Hurdles of Investigator-Sponsored Research (ISR) Trials | Jyotsna Lakshmikumar | Bristol Myers Squibb | DH06; Data Handling & Engineering | PRE_DH06.pdfPAP_DH06.pdf | |
Connect | 2024 | US | Bethesda | DH08: The Role of AI (ML/NLP/Deep Learning) in Handling Sensitive/Confidential Data | Divya Kanniah | Symbiance | Swetha Balaji | DH08; Data Handling & Engineering | PRE_DH08.pdfPAP_DH08.pdf |
Connect | 2024 | US | Bethesda | DH09: The Data Review Model – Recognising the Benefits of a Single Source of Truth Model for Data Review | Priyank Patel | Johnson & Johnson | DH09; Data Handling & Engineering | PRE_DH09.pdfPAP_DH09.pdf |