Clinical Data Management and Statistics

Clinical data management is the process of collection, cleaning, integration and management of subject data in compliance with regulatory standards. It is a critical phase in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials, this has been facilitated by the use of software applications that maintain an audit trail and provide easy identification and resolution of data discrepancies. CDM also supports the conduct, management and analysis of studies across the spectrum of clinical research. The ultimate goal of CDM is to assure that data support conclusions drawn from research. Achieving this goal protects public health and confidence in marketed therapeutics.

  • On-shore & off-shore clinical data management
  • Data types and data processing techniques
  • Data integration and visualization
  • Big Data for clinical trials
  • Data management plan development
  • Data types and data processing techniques
  • Advanced products in data management
  • SAS programming in data analysis
  • Statistical analysis methods
  • Electronic data capturing systems
  • CRF/eCRF design and development
  • Clinical trial data sharing and data privacy
  • Data visualization & Analytics techniques for clinical trial insights
  • Clinical Data Management System validation

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6th World Congress on Natural Products, Medicinal Plants and Traditional Medicines

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15th World Congress on Medicinal Chemistry & CADD

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19th World Congress on Advances in Pharmaceutical Sciences

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2nd Annual Pharmaceutical Biotechnology Congress

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20th Annual Pharma Middle East Congress

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