Regression analysis of mean quality-adjusted survival time based on pseudo-observations

Gisela Tunes da Silva and John Klein have a new paper in Statistics in Medicine. This applies the pseudo-observations approach to the estimation of mean quality adjusted survival time (QAS). They assume an identity link function for the relationship between mean QAS and covariates at baseline. This direct regression is analogous to similar approaches taken in the competing risks context by Graw, Gerds and Schumacher in Lifetime Data Analysis.

Nonparametric estimation of waiting time distributions in a Markov model based on current status data.

Datta, Lan and Sundaram have a paper available online for the Journal of Statistical Planning and Inference. This further develops approaches to estimating multi-state processes which have a tree structure (i.e. the process is progressive and there is only one possible path to a particular state) under current status observation, first proposed by Datta and Sundaram (Biometrics, 2006). In this paper a method for estimation of the (marginal) waiting time distributions in each state is developed.