Locally Efficient Estimation with Bivariate Right Censored Data
Estimation for bivariate right censored data is a problem that has had much study over the past 15 years. In this paper we propose a new class of estimators for the bivariate survival function based on locally efficient estimation. We introduce the locally efficient estimator for bivariate right censored data, present an asymptotic theorem, present the results of simulation studies and perform a brief data analysis illustrating the use of the locally efficient estimator.
Christopher M. Quale, Mark J. van der Laan, and James M. Robins. "Locally Efficient Estimation with Bivariate Right Censored Data" 2001
Available at: http://works.bepress.com/mark_van_der_laan/99
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