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

EU

Strasbourg

DV01: Choosing the Right Tool: A Comparative Evaluation of SAS, R and Python for Sankey and Swimmer Plot Generation in Clinical Data

Julien Frenehard

Daiichi Sankyo

Neelam Yadav

DV01; Data Visualisation

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

EU

Strasbourg

DV02: Comparative Analysis: Creating Kaplan-Meier Plots Using SAS vs Python – A Step-by-Step Approach

Mrityunjay Kumar

Ephicacy Consulting Group

DV02; Data Visualisation

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

EU

Strasbourg

DV03: Transparent ggplot2: Enhancing Reproducibility with ggcall

Maciej Nasinski

UCB Biosciences

DV03; Data Visualisation

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

EU

Strasbourg

DV04: Combining the Power of RShiny and SAS Viya

David Weik

SAS

DV04; Data Visualisation

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

EU

Strasbourg

DV05: Interactive Reporting Using FDA Standard Safety Shells and the CDISC Analysis Results Standard

Megan Harries

Veramed

Steve Mallett

DV05; Data Visualisation

Connect

2024

US

Bethesda

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

Anwaya Joshi

Cytel

AS05; Analytics & Statistics

Connect

2024

EU

Strasbourg

DV06: DaVinci: A Modular Framework for Interactive Data Exploration and Visualisation in Clinical Research

Isabel Glauß

Boehringer Ingelheim

Stefan Döring

DV06; Data Visualisation

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

EU

Strasbourg

DV07: Data Traceability Map with R Shiny

Alexander Mkrtchyan

Armat Analytics

Sevak Kamalyan

DV07; Data Visualisation

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

EU

Strasbourg

Keynote Speaker – Maneesh Juneja

Maneesh Juneja

Keynote

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

EU

Strasbourg

LI01: Return On Investment as a Financial Feng-Shui in Data Science. Practical Strategies to Get Projects Accepted and Evaluated

Iwona Matyjaszek

Appsilon

LI01; Leadership Through Innovation

Connect

2024

US

Bethesda

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

Eileen Ching

GSK

AS09; Analytics & Statistics

Connect

2024

EU

Strasbourg

LI02: Transformative Leadership: Innovating for Sponsor-Vendor Partnership Success

Nalin Gupta

MARS

Satish Shetty

LI02; Leadership Through Innovation

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