antoniatsv
Biostatistician and Health Data Scientist Consultant within LCP’s Health Analytics and Real World Evidence team.
Lane Clark & Peacock LLPLondon, United Kingdom
Pinned Repositories
antoniatsv.github.io
my personal website :-)
CPM-Literature-Review
A literature review exploring how missing data was handled across the pipeline of commonly used UK clinical prediction models
HTL0039732-Dose-Escalation-Trial
Two-parameter Bayesian logistic dose-escalation model to find the maximum tolerated dose (MTD) of HTL0039732 agent alone and in combination with a backbone agent in patients with solid tumours.
medspaCy_MedInfo_2023
Supplementary information for the medspaCy workshop presentation at MedInfo 2023 in Sydney, Australia
ML-algorithms-Sim-Study
A simulation study completed during a visit at the Microsoft Research, Cambridge (May-Sept, 2022)
NCORR-EHR-Study
Implications for bias in estimated predictive performance when using different approaches to handle missing data across validation and implementation of a clinical prediction model: examples from cardio-thoracic surgery
R-Compatibility-Sim-Study
A simulation study looking at which combinations of missing data handling methods across a prediction model's pipeline are compatible, and which ones lead to bias.
antoniatsv's Repositories
antoniatsv/antoniatsv.github.io
my personal website :-)
antoniatsv/CPM-Literature-Review
A literature review exploring how missing data was handled across the pipeline of commonly used UK clinical prediction models
antoniatsv/HTL0039732-Dose-Escalation-Trial
Two-parameter Bayesian logistic dose-escalation model to find the maximum tolerated dose (MTD) of HTL0039732 agent alone and in combination with a backbone agent in patients with solid tumours.
antoniatsv/medspaCy_MedInfo_2023
Supplementary information for the medspaCy workshop presentation at MedInfo 2023 in Sydney, Australia
antoniatsv/ML-algorithms-Sim-Study
A simulation study completed during a visit at the Microsoft Research, Cambridge (May-Sept, 2022)
antoniatsv/NCORR-EHR-Study
Implications for bias in estimated predictive performance when using different approaches to handle missing data across validation and implementation of a clinical prediction model: examples from cardio-thoracic surgery
antoniatsv/R-Compatibility-Sim-Study
A simulation study looking at which combinations of missing data handling methods across a prediction model's pipeline are compatible, and which ones lead to bias.