Tom Palmer

A flexible Monte Carlo quantitative bias analysis for unmeasured confounding

Quantitative bias analysis (QBA) for unmeasured confounding is essential for observational studies. A probabilistic QBA incorporates external information about the unmeasured confounders via prior distributions for certain parameters (known as bias parameters ) that specify the r...

Encryption at Rest for Research Data on Unencrypted High Performance Computing Infrastructure: Implementation using gocryptfs

This document describes the technical solution implemented to achieve encryption at rest for sensitive research data stored and processed on Isambard AI Phase 1 or 2 or Isambard 3, high performance computing (HPC) facilities hosted by the University of Bristol, Bristol Centre for...