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Inference in Randomized Studies with Informative Censoring and Discrete Time-to-Event Endpoints

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  • Daniel Scharfstein
  • James M. Robins
  • Wesley Eddings
  • Andrea Rotnitzky

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  • Daniel Scharfstein & James M. Robins & Wesley Eddings & Andrea Rotnitzky, 2001. "Inference in Randomized Studies with Informative Censoring and Discrete Time-to-Event Endpoints," Biometrics, The International Biometric Society, vol. 57(2), pages 404-413, June.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:2:p:404-413
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2001.00404.x
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    References listed on IDEAS

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    1. James M. Robins & Dianne M. Finkelstein, 2000. "Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log-Rank Tests," Biometrics, The International Biometric Society, vol. 56(3), pages 779-788, September.
    2. R.D. Gill, 1980. "Censoring and Stochastic Integrals," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 34(2), pages 124-124, June.
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    Cited by:

    1. Marzieh K Golmakani & Rebecca A Hubbard & Diana L Miglioretti, 2022. "Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests," Biometrics, The International Biometric Society, vol. 78(3), pages 1244-1256, September.
    2. Sedigheh Mirzaei Salehabadi & Debasis Sengupta & Rituparna Das, 2015. "Parametric Estimation of Menarcheal Age Distribution Based on Recall Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 290-305, March.
    3. Miguel A. Hernán & James M. Robins & Luis A. García Rodríguez, 2005. "Discussion on "Statistical Issues Arising in the Women's Health Initiative"," Biometrics, The International Biometric Society, vol. 61(4), pages 922-930, December.
    4. Xuelin Huang & Nan Zhang, 2008. "Regression Survival Analysis with an Assumed Copula for Dependent Censoring: A Sensitivity Analysis Approach," Biometrics, The International Biometric Society, vol. 64(4), pages 1090-1099, December.
    5. Miran A. Jaffa & Ayad A. Jaffa, 2019. "A Likelihood-Based Approach with Shared Latent Random Parameters for the Longitudinal Binary and Informative Censoring Processes," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 597-613, December.
    6. Jie Zhu & Blanca Gallego, 2021. "Continuous Treatment Recommendation with Deep Survival Dose Response Function," Papers 2108.10453, arXiv.org, revised Sep 2023.
    7. Ming-Wen An & Constantine E. Frangakis & Beverly S. Musick & Constantin T. Yiannoutsos, 2009. "The Need for Double-Sampling Designs in Survival Studies: An Application to Monitor PEPFAR," Biometrics, The International Biometric Society, vol. 65(1), pages 301-306, March.
    8. Rebecca A. Hubbard & Diana L. Miglioretti, 2013. "A Semiparametric Censoring Bias Model for Estimating the Cumulative Risk of a False-Positive Screening Test Under Dependent Censoring," Biometrics, The International Biometric Society, vol. 69(1), pages 245-253, March.

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