Spline regression for hazard rate estimation when data are censored and measured with error

Hazard regression with interval-censored data.

In a recent paper, Kooperberg, Stone, and Truong (1995a) introduced hazard regression (HARE), in which linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data and one or more covariates. Model selection is carried out in an adaptive fashion using maximum likelihood estimation of the unknown coefficients...

Hazard Estimation for Censored Data Contaminated with Additive Measurement Error: Application to Length of Pregnancy

We consider random variables which can be subject to both censoring and measurement errors. We focus on the case where the measurement errors affect both the variable of interest and the censoring variable, which is the case of the timing of spontaneous delivery among pregnant women. We propose an estimation strategy to estimate the hazard rate of the underlying variable of interest. We explain...

Inverse regression estimation for censored data.

An inverse regression methodology for assessing predictor performance in the censored data setup is developed along with inference procedures and a computational algorithm. The technique developed here allows for conditioning on the unobserved failure time along with a weighting mechanism that accounts for the censoring. The implementation is nonparametric and computationally fast. This provide...

Smoothing Spline Regression Estimates for Randomly Right Censored Data

Density and hazard rate estimation for right censored data using wavelet methods

This paper describes a wavelet method for the estimation of density and hazard rate functions from randomly right censored data. We adopt a nonparametric approach in assuming that the density and hazard rate have no speci c parametric form. The method is based on dividing the time axis into a dyadic number of intervals and then counting the number of events within each interval. The number of e...