Article

Development and validation of novel data science tools for quantifying drug exposure using routinely collected data

2021-01-01

Abstract excerpt

Routinely collected healthcare data are increasingly being used as a source for research into the effectiveness and safety of drugs. Although these data have great potential, they require preparation before they can be used in research, a process which, amongst a number of other tasks, typically involves quantifying patients' exposure to the drug of interest. The aim of this thesis was to develop and validate a se...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a3ba5e44-2836-5e6c-8f66-6a57fb9895a0
DOI: 10.5525/gla.thesis.81982

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Development and validation of novel data science tools for quantifying drug exposure using routinely collected dataDOI 10.5525/gla.thesis.81982Read

T-Rx: A toolbox for reproducible processing of prescriptions (Rx) stored in electronic health record databasesSemantic proximity Read

Determining prescriptions in electronic healthcare record (EHR) data: methods for development of standardized, reproducible drug codelistsSemantic proximity Read

PrAna: An R package to calculate and visualize England NHS primary care prescribing dataSemantic proximity Read

Data Resource profile: Medicines in Acute and Chronic Care in Scotland (MACCS)Semantic proximity Read

A Comprehensive Approach to Days’ Supply Estimation in a Real-World Prescription Database: Data Cleaning, Imputation, and Adherence AnalysisSemantic proximity Read

Foundational model aided automatic high-throughput drug screening using self-controlled cohort studySemantic proximity Read

Data quality reporting in multi-database pharmacoepidemiologic studies: a scoping review and a proposal for a harmonised classificationSemantic proximity Read

Categorising UK Biobank Self-Reported Medication Data using Text MatchingSemantic proximity Read

Data-driven identification of unusual prescribing behaviour: an analysis and interactive data tool using six months of primary care data from 6500 practices in EnglandSemantic proximity Read

Trends in analgesia prescribing in primary care in Ireland and England between 2014 and 2022 - a repeated cross-sectional studySemantic proximity Read

INSIGHT: A Tool for Fit-for-Purpose Evaluation and Quality Assessment of Observational Data Sources for Real World Evidence on Medicine and Vaccine SafetySemantic proximity Read

Using data science to identify unusual treatment choices in England: illustrative findings of uncommon antipsychotics Pericyazine and PromazineSemantic proximity Read