Nelson-Aalen-Type Estimator for Censored Quantile Regression

Peng and Huang (2008) propose a method for censored quantile regression that is based on the Nelson-Aalen estimator of the cumulative hazard function. Let $F_ i(t |x) = P(T_ i\le t | x_ i), \Lambda (t|x_ i) = -\mr {log}(1 - F_ i(t|x_ i))$ , and $N_ i(t) = I\left\{ \left\{ T_ i \le t\} \mbox{ and } \{ \Delta _ i=1\right\} \right\}$ . Then the following equation is a martingale process that is associated with the counting process (Fleming and Harrington, 1991):

$M_ i(t) = N_ i(t) - \Lambda (t \wedge Y_ i |x)$

Based on the martingale process, Peng and Huang (2008) derive the following estimating equation:

$n^{-1/2} \sum _{i=1}^ n x_ i[N_ i(\mr {exp}(x_ i’\beta (\tau )))- \int _{0}^{\tau }I(Y_ i \ge \mr {exp}(x_ i’\beta (\tau )))d H(u)]=0$

where $H(u)=-\mr {log}(1-u)$ and $u \in [0,1)$ . By approximating the integral in the estimating equation on a grid $0=\tau _0 < \tau _1 < ...< \tau _ M < 1$ , the regression quantiles $\beta (\tau _ k)$ , , can be estimated sequentially by solving the following linear programming problem:

$\mbox{min } \{ \alpha (\tau _ k) ’ u +(\Delta - \alpha (\tau _ k)) ’ v \mbox{ } |\mbox{ }z= Xb + u- v, u \ge 0, v \ge 0\}$

where

$\alpha (\tau _ k)= \sum _{j=1}^{k-1} I(Y_ i \ge \mr {exp}(x_ i’\hat\beta (\tau _ j)))H((u_{j+1})-H(u_ j))$

See Koenker (2008) for details. You can request this method by specifying the METHOD=NA option. The grid points $0=\tau _0 < \tau _1 < ...< \tau _ M < 1$ are equally spaced with $\tau _1$ specified by the INITTAU=option and the grid step between two adjacent grid points specified by the GRIDSIZE=option.

The QUANTLIFE Procedure (Experimental)

Nelson-Aalen-Type Estimator for Censored Quantile Regression