Impact of Time to Start Treatment Following Infection with Application to Initiating HAART in HIV-Positive Patients
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- Judith Lok & Richard Gill & Aad Van Der Vaart & James Robins, 2004. "Estimating the causal effect of a time‐varying treatment on time‐to‐event using structural nested failure time models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(3), pages 271-295, August.
- Judith J. Lok, 2007. "Structural Nested Models and Standard Software: A Mathematical Foundation through Partial Likelihood," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(1), pages 186-206, March.
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Cited by:
- Yasuhiro Hagiwara & Tomohiro Shinozaki & Yutaka Matsuyama, 2020. "G‐estimation of structural nested restricted mean time lost models to estimate effects of time‐varying treatments on a failure time outcome," Biometrics, The International Biometric Society, vol. 76(3), pages 799-810, September.
- Keith Battocchi & Eleanor Dillon & Maggie Hei & Greg Lewis & Miruna Oprescu & Vasilis Syrgkanis, 2021. "Estimating the Long-Term Effects of Novel Treatments," Papers 2103.08390, arXiv.org, revised Feb 2022.
- Xin Chen & Rui Song & Jiajia Zhang & Swann Arp Adams & Liuquan Sun & Wenbin Lu, 2022. "On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime," Biometrics, The International Biometric Society, vol. 78(4), pages 1377-1389, December.
- Shu Yang, 2022. "Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations," Biometrics, The International Biometric Society, vol. 78(3), pages 937-949, September.
- Vasilis Syrgkanis & Ruohan Zhan, 2023. "Post Reinforcement Learning Inference," Papers 2302.08854, arXiv.org, revised May 2024.
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