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About US

AT RADIANCE

We offer online training that will enhance knowledge, self-confidence and expertise among researchers who want to utilize complex longitudinal biosocial data.

The topics covered under the three themes are…

Data Stewardship

  • Principles of responsible data science
  • Data governance, ethics and confidentiality
  • Data quality assessment, accessibility, linkage
  • Questions and targets of estimation
  • Statistical software, data description and visualization

Analysis

  • Principles of statistical inference and modelling
  • Data dimension reduction and classification
  • Multiple Imputation of Missing data​
  • Analysis of longitudinal and time to event data
  • Machine learning methods
  • Causal inference

REPRODUCIBILITY

  • Interpretation and triangulation
  • Open science, code sharing, and collaborations

The training program caters for all levels and career stages as each topic is delivered at three levels of difficulty

Data Science Basics

These are videos giving brief introductions to concepts and core skills.
The videos can be accessed on our website

Data Science Intermediate

These consist of prerecorded lectures and practical tutorials with solutions available on demand

Data Science Courses

Consisting in online live lectures and tutorials

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