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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EventYearRegionCityTitleAuthorCompanyCo-authorKeywordsLinks

Connect

2024

US

Bethesda

AR05: QTLs/Acceptable Ranges: How to Set Thresholds

Debra Jendrasek

Daiichi Sankyo

Marcus Muli

AR05; Analytics Risk-based Monitoring

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

Connect

2024

US

Bethesda

AS01: Applying Machine Learning for Predicting Potential Adverse Events from Real-World Data

Samiul Haque

SAS

AS01; Analytics & Statistics

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

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

Connect

2024

US

Bethesda

AS05: Spline Analysis to Understand the Non-linear Relationship in Clinical Research

Anwaya Joshi

Cytel

AS05; Analytics & Statistics

Connect

2024

US

Bethesda

AS06: Real-World Application of Natural Language Processing: More Than Just Sentiment Analyses

Scott McClain

SAS

AS06; Analytics & Statistics

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

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

Connect

2024

US

Bethesda

AS09: SPACE – GSK Biostatistics Continues its Journey to a New Frontier

Eileen Ching

GSK

AS09; Analytics & Statistics

Connect

2024

US

Bethesda

AS10: TransCelerate’s Privacy Methodology for Cross-Industry Clinical Data Reuse

Patty Hegarty

Bayer

AS10; Analytics & Statistics

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

Connect

2024

US

Bethesda

DH01: How to Monitor SDTM Data Health

Amanda Cross

Bioforum The Data Masters

DH01; Data Handling & Engineering

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

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

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

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

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

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

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

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