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05/15/2023
Methodological considerations for novel approaches to covariate-adjusted indirect treatment comparisons
We examine four important considerations in the development of covariate...
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05/15/2023
Model-based standardization using multiple imputation
When studying the association between treatment and a clinical outcome, ...
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03/31/2023
Designing a Bayesian adaptive clinical trial to evaluate novel mechanical ventilation strategies in acute respiratory failure using Integrated Nested Laplace Approximations
Background: We aimed to design a Bayesian adaption trial through extensi...
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03/18/2022
BCEA: An R Package for Cost-Effectiveness Analysis
We describe in detail how to perform health economic cost-effectiveness ...
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08/27/2021
Parametric G-computation for Compatible Indirect Treatment Comparisons with Limited Individual Patient Data
Population adjustment methods such as matching-adjusted indirect compari...
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05/12/2021
Calculating Expected Value of Sample Information Adjusting for Imperfect Implementation
Background: The Expected Value of Sample Information (EVSI) calculates t...
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12/09/2020
Principled selection of effect modifiers: Comments on 'Matching-adjusted indirect comparisons: Application to time-to-event data'
In this commentary, we raise our concerns about a recent simulation stud...
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11/12/2020
Conflating marginal and conditional treatment effects: Comments on 'Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation s
In this commentary, we highlight the importance of: (1) carefully consid...
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08/12/2020
Predictive-Adjusted Indirect Comparison: A Novel Method for Population Adjustment with Limited Access to Patient-Level Data
Population adjustment methods such as matching-adjusted indirect compari...
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06/11/2020
A Bayesian response-adaptive dose finding and comparative effectiveness trial
Aims: Combinations of treatments can offer additional benefit over the t...
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04/30/2020
Methods for Population Adjustment with Limited Access to Individual Patient Data: A Simulation Study
Population-adjusted indirect comparisons are used to estimate treatment ...
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10/08/2019
Computing the Expected Value of Sample Information Efficiently: Expertise and Skills Required for Four Model-Based Methods
Objectives: Value of information (VOI) analyses can help policy-makers m...
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05/28/2019
Calculating the Expected Value of Sample Information in Practice: Considerations from Three Case Studies
Investing efficiently in future research to improve policy decisions is ...
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04/25/2018