Median regression and the missing information principle

By Ian W. McKeague, Sundarraman Subramanian, Yanqing Sun. 2001

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Locally Weighted Censored Quantile Regression (2009, methodology): “+ I(Ci > x T i β) { τI(Ti ≤ Ci)− I(Ti ≤ xi β) + τI(Ti > Ci) } ] (19) = xi [{ τ − I(Ci > xi β, Ti ≤ xi β)− I(Ci ≤ xi β, Ti ≤ Ci) } −I(Ci ≤ xi β, Ti > Ci) ( 1− 1− τ 1− Fi(Ci) < τ) )] .”
Efficient Quantile Regression Analysis With Missing Observations (2015, methodology): “It is instructive to note that the EEP method is closely allied to the missing information principle, and methods based on this principle have been applied to censored data settings (e.g., Efron 1967; Buckley and James 1979; Lai and Ying 1994, McKeague et al. 2001, Subramanian 2002).”