RESEARCH & THOUGHTS
Perspectives Shaping Clinical Development
Discover engaging resources driving the conversation forward and on-demand demo videos showcasing the very solutions forming the future of our field.
Specify configurable variables likely to indicate duplicates and review based on similarity scores and...
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Rank sites based on performance and tolerance metrics, uncovering ‘at-risk’ locations in need of corrective...
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Flag atypical patient patterns, prioritize investigations into anomalies within data sets, and determine...
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Identify systematic issues, monitor key metrics, and document deviations from pre-defined QTLs to ensure...
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Determine vulnerable trial areas, define risk controls, and monitor capabilities to detect evolving threat...
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Assess identified issues, annotate commentary, deploy automatic auditing, and leverage extensive exporting...
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- Research Paper
Linear Mixed-Effects Models for Central Statistical Monitoring of Multicenter Clinical Trials
- Research Paper
Linear Mixed-Effects Models for Central Statistical Monitoring of Multicenter Clinical Trials
- Research Paper
Use of the Beta-Binomial Model for Central Statistical Monitoring of Multicenter Clinical Trials
- Research Paper
Ensuring Trial Validity by Data Quality Assurance and Diversification of Monitoring Methods
- Research Paper
Impact of On-Site Initiation Visits on Patient Recruitment and Data Quality in a Randomized Trial of Adjuvant Chemotherapy for Breast Cancer
- Research Paper
Data Fraud in Clinical Trials
- Whitepaper
Examining the Current State of ICH E6 (R2) Adoption
- Whitepaper
From RBM to RBQM: The Future of Risk-Based Trial Management
- Whitepaper
Harnessing CSM to Drive Risk-Based Quality Management (RBQM)
- Whitepaper
Conclusions from Executive Roundtable on Response to ICH E6 (R2)
- Whitepaper
Implementing a Scalable Risk-Based Monitoring Strategy
- Whitepaper
Sponsor Responses to the ICH E6 Revisions
- Blog
Understanding Trends In QTL Adoption
- Blog
UK’s MHRA Cites CluePoints Centralized Statistical Monitoring In Updated GCP Guidance
- Blog
Risk-Based Fraud Detection: How Centralized Monitoring Can Boost Data Quality
- Blog
Software Engineering Skills For A Big Societal Impact
- Blog
CluePoints’ Launch Post-COVID Trial Assurance Solution
- Blog
Using Risk-Based Monitoring To Focus On What Matters
- Blog
Practical Steps For Centralized Monitoring Success
- Blog
The Evolution Of CluePoints’ SMART Engine
- Blog
Life As A Clinical Data Analyst At CluePoints
- Blog
Best Practice Advice To Enable Teams To Focus On High Quality Data In Clinical Studies
- Blog
Exploring The Role Of AI And Machine Learning In Clinical Trials
- Blog
Centralized Monitoring – How To Unlock The Treasure Chest Of Analytical Insights
