Clinical Data Validation

Clinical Data Management Essentials

Clinical Data Management Essentials

This book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.

Mastering Data Management: Explore EDC Systems, Regulatory Compliance, Data Quality, and Emerging Technologies in Clinic

Mastering Data Management: Explore EDC Systems, Regulatory Compliance, Data Quality, and Emerging Technologies in Clinic

Navigate the complexities of clinical trials with expertise in GCP, ethical practices, and compliance.

Unlock the Mysteries of Clinical Trials and Medical Research – No Experience Needed!

Learn R Programming Language for Data Science, Machine Learning, Data Analysis and Data Visualization with Libraries