Proposes a doubly robust instrumental variable estimator for treatment effects under informative switching using baseline treatment as instrument and cross-fitting with machine learning.
Statistical Science , year =
2 Pith papers cite this work. Polarity classification is still indexing.
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stat.ME 2years
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UNVERDICTED 2representative citing papers
The clone-censor-weight approach is formalized and tested via simulations before application to a breast cancer cohort comparing 2 versus 5 years of adjuvant tamoxifen, yielding estimates with substantial uncertainty.
citing papers explorer
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An Instrumental Variable Approach to Account for Informative Treatment Switching in Real-world Evidence
Proposes a doubly robust instrumental variable estimator for treatment effects under informative switching using baseline treatment as instrument and cross-fitting with machine learning.
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Estimating treatment duration effects via clone-censor-weight: a breast cancer case study
The clone-censor-weight approach is formalized and tested via simulations before application to a breast cancer cohort comparing 2 versus 5 years of adjuvant tamoxifen, yielding estimates with substantial uncertainty.