Linda is an epidemiologist working on OpenSAFELY. Her interest lies in causal inference from electronic health records and associated methodology. She holds a BSc in Mathematical Sciences from Utrecht University and a MSc in Nutrition and Health Sciences from Wageningen University, and recently completed her PhD in Clinical Epidemiology at Leiden University, focussing on methods for measurement error correction in epidemiologic research. She loves being outdoors and is obsessed with bicycles and biking.
Papers by Linda Nab
- Therapeutics Dataset from COVID-19 Medicine Delivery Units in England
- Changes in opioid prescribing during the COVID-19 pandemic in England
- OpenSAFELY: a platform for analysing electronic health records designed for reproducible research
- Effectiveness of Sotrovimab and Molnupiravir in community settings in England across the Omicron BA.1 and BA.2 sublineages
- Changes in COVID-19-related mortality across key demographic and clinical subgroups in England from 2020 to 2022
- Trends, variation, and clinical characteristics of recipients of antiviral drugs and neutralising monoclonal antibodies for covid-19 in community settings
- Factors associated with COVID-19 vaccine uptake in people with kidney disease
- Comparative effectiveness of sotrovimab and molnupiravir for prevention of severe covid-19 outcomes in patients in the community