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09/10/2023
Simulating data from marginal structural models for a survival time outcome
Marginal structural models (MSMs) are often used to estimate causal effe...
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05/31/2023
Investigating Impacts of Health Policies Using Staggered Difference-in-Differences: The Effects of Adoption of an Online Consultation System on Prescribing Patterns of Antibiot
We use a recently proposed staggered difference-in-differences approach ...
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04/29/2023
Dynamic Updating of Clinical Survival Prediction Models in a Rapidly Changing Environment
Over time, the performance of clinical prediction models may deteriorate...
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04/19/2023
Prediction under hypothetical interventions: evaluation of performance using longitudinal observational data
Prediction models provide risks of an adverse event occurring for an ind...
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10/07/2021
Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models
Longitudinal observational patient data can be used to investigate the c...
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02/09/2021
mecor: An R package for measurement error correction in linear regression models with a continuous outcome
Measurement error in a covariate or the outcome of regression models is ...
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02/10/2020
Simulating longitudinal data from marginal structural models using the additive hazard model
Observational longitudinal data on treatments and covariates are increas...
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12/12/2019
Sensitivity analysis for bias due to a misclassfied confounding variable in marginal structural models
In observational research treatment effects, the average treatment effec...
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10/14/2019
Measurement error as a missing data problem
This article focuses on measurement error in covariates in regression an...
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02/28/2018