Tools to Simulate Realistic Censored Survival-Time Distributions

Nonparametric regression with censored survival time data

The paper deals with a class of nonparametric regression estimates introduced by Beran (1981) to estimate conditional survival functions in the presence of right censoring. Weak convergence results are established for kernel and nearest neighbour estimates of the conditional cumulative hazard and survival functions as well as the quantile and L-type regression functionals.

Simera: Modelling the PCR Process to Simulate Realistic Chimera Formation

Polymerase Chain Reaction (PCR) is the principal method of amplifying target DNA regions and, as such, is of great importance when performing microbial diversity studies. An unfortunate side e↵ect of PCR is the formation of unwanted byproducts such as chimeras. The main goal of the work covered in this article is the development of an algorithm that simulates realistic chimeras for use in the e...

Spatial Modeling of Censored Survival Data

An important issue in survival data analysis is the identification of risk factors. Some of these factors are identifiable and explainable by presence of some covariates in the Cox proportional hazard model, while the others are unidentifiable or even immeasurable. Spatial correlation of censored survival data is one of these sources that are rarely considered in the literatures. In this paper,...

Censored Data and Truncated Distributions

We detail the basic theory for regression models in which dependent variables are censored or underlying distributions are truncated. The model is extended to models for counts, sample selection models, and models hazard models for duration data. Entry level theory is presented for the practitioner. We then describe a few of the recent, frontier developments in theory and practice. To appear as...

Inferences on Median Failure Time for Censored Survival Data