How are auxiliary variables used in survival regression models? What is the relationship between auxiliary variables and censoring in survival analysis?

Oct 23, 2017 ... We propose a new approach, which we term as scalar auxiliary variable (SAV) approach, to construct efficient and accurate time ... Nov 10, 2020 ... Title:Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration ... Abstract:Discrete structures play an important role in ... Apr 17, 2018 ... I have three ordinal variables relating to public spending preferences that are all strongly correlated. One of them is missing around a 103 observations, ... Jul 22, 2020 ... Is there a way to introduce “auxiliary variables”, that will not be treated as proper variables but just as definitions? Poster Knowledge Distillation with Auxiliary Variable. Bo Peng, zhen fang, Guangquan Zhang, Jie Lu. Hall C 4-9. Aug 27, 2024 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Apr 23, 2018 ... The current study provides an overview of systematic approaches that allows researchers to investigate models involving moderation, conditional effects on ... Also, it was established that estimators that are asymptotically optimum that utilized single auxiliary variable are more efficient than those that are not ... Jul 28, 2020 ... The RSS procedure using ranking on auxiliary variable for estimating the ratio-type estimators is described by Koyuncu (2015) as: k2 bivariate ... The new auxiliary datasets contain data derived from the regular FARS/GES variables using NCSA analyti- cal data classifications. These classifications are ...