Regression under Cox’s model for recall-based time-to-event data in observational studies
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DOI: 10.1016/j.csda.2015.07.005
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- 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.
- Qiqing Yu & George Y. C. Wong & Fanhui Kong, 2006. "Consistency of the Semi‐parametric MLE in Linear Regression Models with Interval‐censored Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 33(2), pages 367-378, June.
- Liu, Hao & Shen, Yu, 2009. "A Semiparametric Regression Cure Model for Interval-Censored Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1168-1178.
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Keywords
Informative censoring; Interval censoring; Proportional hazards; Related risk regression model; Retrospective study; Turnbull estimator;All these keywords.
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