Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies
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DOI: 10.1080/01621459.2017.1295864
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Cited by:
- Brady Ryan & Ananthika Nirmalkanna & Candemir Cigsar & Yildiz E. Yilmaz, 2023. "Evaluation of Designs and Estimation Methods Under Response-Dependent Two-Phase Sampling for Genetic Association Studies," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(2), pages 510-539, July.
- Jacob M. Maronge & Ran Tao & Jonathan S. Schildcrout & Paul J. Rathouz, 2023. "Generalized case‐control sampling under generalized linear models," Biometrics, The International Biometric Society, vol. 79(1), pages 332-343, March.
- Sarah C. Lotspeich & Bryan E. Shepherd & Gustavo G. C. Amorim & Pamela A. Shaw & Ran Tao, 2022. "Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort," Biometrics, The International Biometric Society, vol. 78(4), pages 1674-1685, December.
- Chiara Di Gravio & Ran Tao & Jonathan S. Schildcrout, 2023. "Design and analysis of two‐phase studies with multivariate longitudinal data," Biometrics, The International Biometric Society, vol. 79(2), pages 1420-1432, June.
- Gustavo Amorim & Ran Tao & Sarah Lotspeich & Pamela A. Shaw & Thomas Lumley & Bryan E. Shepherd, 2021. "Two‐phase sampling designs for data validation in settings with covariate measurement error and continuous outcome," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1368-1389, October.
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