Ian Douglas

Professor of Pharmacoepidemiology

London School of Hygiene & Tropical Medicine

United Kingdom

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About

Ian Douglas is a Professor of Pharmacoepidemiology at the London School of Hygiene & Tropical Medicine in the UK. His research areas encompass the evaluation of drug interactions, particularly in relation to anticoagulants and their effects on various health outcomes. Recent publications highlight his work on the safety signals associated with COVID-19 vaccines and the implications of time-varying confounding in pharmacoepidemiological studies.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

Collaborators (4)

Christopher Rentsch

Adjunct Assistant Professor

Yale University School of Medicine

UNITED STATES

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Carlo Alberto Bissacco

Institut de Recerca en Atenció Primària Jordi Gol

SPAIN

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Zixuan Wang

Assistant Professor

University of Birmingham

UNITED KINGDOM

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Felipe Villalobos Martínez

Institut de Recerca en Atenció Primària Jordi Gol

SPAIN

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Ian Douglas

Research Interests

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About

Articles (10)

Using Quantitative Bias Analysis to Adjust for Misclassification of COVID‐19 Outcomes: An Applied Example of Inhaled Corticosteroids and COVID‐19 Outcomes

The association between proton pump inhibitors and the risk of gastrointestinal bleeding in oral anticoagulants users

Potential interactions between direct oral anticoagulants and atorvastatin/simvastatin: a cohort and case-crossover study.

Association Between β-Adrenoreceptor Agonists and Antagonists and Parkinson's Disease: Systematic Review and Meta-Analysis.

Potential interactions between digoxin and direct oral anticoagulants: application of cohort & novel case-crossover designs.

Core Concepts: Self-Controlled Designs in Pharmacoepidemiology.

Overcoming time-varying confounding in self-controlled case series with active comparators: application and recommendations.

Potential interactions between antimicrobials and direct oral anticoagulants: Population-based cohort and case-crossover study.

Applying two approaches to detect unmeasured confounding due to time-varying variables in a self-controlled risk interval design evaluating COVID-19 vaccine safety signals, using myocarditis as a case example

Risk of mortality between warfarin and direct oral anticoagulants: population-based cohort studies

Collaborators (4)

Christopher Rentsch

Carlo Alberto Bissacco

Zixuan Wang

Felipe Villalobos Martínez

Make your next move.

Ian Douglas

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Using Quantitative Bias Analysis to Adjust for Misclassification of COVID‐19 Outcomes: An Applied Example of Inhaled Corticosteroids and COVID‐19 Outcomes

The association between proton pump inhibitors and the risk of gastrointestinal bleeding in oral anticoagulants users

Potential interactions between direct oral anticoagulants and atorvastatin/simvastatin: a cohort and case-crossover study.

Association Between β-Adrenoreceptor Agonists and Antagonists and Parkinson's Disease: Systematic Review and Meta-Analysis.

Potential interactions between digoxin and direct oral anticoagulants: application of cohort &amp; novel case-crossover designs.

Core Concepts: Self-Controlled Designs in Pharmacoepidemiology.

Overcoming time-varying confounding in self-controlled case series with active comparators: application and recommendations.

Potential interactions between antimicrobials and direct oral anticoagulants: Population-based cohort and case-crossover study.

Applying two approaches to detect unmeasured confounding due to time-varying variables in a self-controlled risk interval design evaluating COVID-19 vaccine safety signals, using myocarditis as a case example

Risk of mortality between warfarin and direct oral anticoagulants: population-based cohort studies

Collaborators (4)

Christopher Rentsch

Carlo Alberto Bissacco

Zixuan Wang

Felipe Villalobos Martínez

Make your next move.

Potential interactions between digoxin and direct oral anticoagulants: application of cohort & novel case-crossover designs.