Industry News & Updates

In-depth analysis of core changes in ICH E6(R3) GCP revision, including risk-based quality management, data integrity requirements, and centralized monitoring updates.

Detailed introduction to new domains, variable updates, and implementation recommendations in CDISC SDTM 3.4, helping data managers quickly adapt to the latest standards.

Exploring how DCT (Decentralized Clinical Trials), eCOA, and remote monitoring technologies are reshaping clinical trial data management models.

Sharing key strategies for data quality management, including CRF design principles, data verification plan development, and Query management best practices.

Introducing practical SAS programming techniques in clinical trial data processing, including macro development, dataset conversion, and report generation optimization.

Interpreting the latest NMPA data submission guidelines, covering electronic data submission formats, review points, and solutions to common issues.

Exploring statistical principles of adaptive design, implementation conditions, and regulatory requirements, sharing case studies of sample size re-estimation and group sequential designs.

Systematic explanation of ADaM dataset construction process, including programming standards and validation points for core analysis datasets such as ADSL, ADAE, and ADLB.

Detailed introduction to sample size calculation methods under different trial designs, including statistical considerations for superiority, non-inferiority, and equivalence trials.

Comparing features of mainstream EDC systems such as Medidata Rave and Oracle Clinical, providing system selection evaluation framework and implementation experience.

Sharing standardized programming methods for statistical tables, listings, and figures, improving programming efficiency and ensuring consistency and compliance of output results.

Explaining statistical principles of interim analysis, alpha spending function application, and independent data monitoring committee operation mechanisms to ensure trial scientific integrity.