PHUSE2023·Connect·Data EngineeringChallenges in Oncology Modular Studies: The Fortrea Approach DH11 EU · BirminghamSee metadata
PHUSE2023·Connect·Data EngineeringAutomating ADaM Dataset Generation via Definitive Specification Writing with A Domain-Specific Language DH12 EU · BirminghamSee metadata
PHUSE2023·Connect·Data EngineeringReviewing External Vendor Data Transfer Specifications from a Programming Standpoint DH12 US · FloridaSee metadata
PHUSE2023·Connect·Data EngineeringExploring Antidepressant Side Effects in the UK Through Topic Modelling and Social Media Analysis DH13 EU · BirminghamSee metadata
PHUSE2023·Connect·Data EngineeringA Privacy Methodology Toolkit to Improve Cross-Industry Clinical Data Reuse DH15 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceAnalytical Risk-Based Monitoring (ARBM) – How Central Monitors Detect the Ripple in the Dataflow that Hides Danger On Site AR01 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceAdvanced Analytics for Data Quality Assessment in Countries and Regions Affected by Crisis AR02 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceQuality Tolerance Limits – More Critical Aspects of Clinical Trials with Much Less Visibility AR03 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceApplying Central Statistical Monitoring to Find Anomalies and Address Quality Issues in Clinical Trial Data AR04 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceR You Ready to Join the RBQM Revolution? Introducing rbqmR AR05 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceRisk-Based Monitoring in Clinical Trials with Machine-Learning-Powered Anomaly Detection AR07 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceComputerised Algorithm for Multiple Myeloma Response Assessments AS01 US · FloridaSee metadata
PHUSE2023·Connect·Data ScienceSize Matters - Sample Size Calculation With SAS and R AS02 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceAn Introduction to Obtaining Test Statistics and P-Values from SAS and R for Clinical Reporting AS02 US · FloridaSee metadata
PHUSE2023·Connect·Data ScienceScrutinise Tables, Figures and Listings (TFLs) Prior to Customer Delivery AS03 US · FloridaSee metadata
PHUSE2023·Connect·Data ScienceMachine-Learning Approaches to Survival Analysis of Clinical Data AS07 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceDatabase Tools Needed for Personalised Study Participant Risk Surveillance AS07 US · FloridaSee metadata
PHUSE2023·Connect·Data ScienceEfficacy Analyses with Imputations: Methods, Limitations and Lessons Learned AS08 EU · BirminghamSee metadata
PHUSE2023·Connect·Data ScienceReal-time Tuning of the ADaM Parameters with an Example of a Big Actigraphy Dataset AS09 US · FloridaSee metadata