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@article{yoshinori2026,
title = {{Doubly robust g-estimation of structural nested cumulative survival time models with non-ignorable, non-monotone missing data in time-varying confounders}},
author = {Yoshinori Takeuchi et al.},
journal = {Lifetime Data Analysis: an international journal devoted to the methods and applications of reliability and survival analysis},
year = {2026},
doi = {https://doi.org/https://doi.org/10.1007/s10985-026-09692-3},
} TY - JOUR
TI - Doubly robust g-estimation of structural nested cumulative survival time models with non-ignorable, non-monotone missing data in time-varying confounders
AU - al., Yoshinori Takeuchi et
JO - Lifetime Data Analysis: an international journal devoted to the methods and applications of reliability and survival analysis
PY - 2026
ER - Yoshinori Takeuchi et al. (2026). Doubly robust g-estimation of structural nested cumulative survival time models with non-ignorable, non-monotone missing data in time-varying confounders. *Lifetime Data Analysis: an international journal devoted to the methods and applications of reliability and survival analysis*. https://doi.org/https://doi.org/10.1007/s10985-026-09692-3 Yoshinori Takeuchi et al.. "Doubly robust g-estimation of structural nested cumulative survival time models with non-ignorable, non-monotone missing data in time-varying confounders." *Lifetime Data Analysis: an international journal devoted to the methods and applications of reliability and survival analysis* (2026). https://doi.org/https://doi.org/10.1007/s10985-026-09692-3. Doubly robust g-estimation of structural nested cumulative survival time models with non-ignorable, non-monotone missing data in time-varying confounders
Yoshinori Takeuchi et al. · Lifetime Data Analysis: an international journal devoted to the methods and applications of reliability and survival analysis · 2026
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