Nonparametric Predictive Multiple Comparisons with Censored Data and Competing Risks
نویسندگان
چکیده
This paper provides an overview of nonparametric predictive inference for comparison of multiple groups of data including right-censored observations. Different right-censoring schemes discussed are early termination of an experiment, progressive censoring and competing risks. Theoretical results are briefly stated, detailed justifications are presented elsewhere. The methods are illustrated and discussed via examples with data from the literature.
منابع مشابه
Nonparametric Predictive Inference for Multiple Comparisons
This thesis presents Nonparametric Predictive Inference (NPI) for several multiple comparisons problems. We introduce NPI for comparison of multiple groups of data including right-censored observations. Different right-censoring schemes discussed are early termination of an experiment, progressive censoring and competing risks. Several selection events of interest are considered including selec...
متن کاملNonparametric predictive inference for combined competing risks data
The nonparametric predictive inference (NPI) approach for competing risks data has recently been presented, in particular addressing the question due to which of the competing risks the next unit will fail, and also considering the effects of unobserved, re-defined, unknown or removed competing risks. In this paper, we introduce how the NPI approach can be used to deal with situations where uni...
متن کاملMonitoring the censored lognormal reliability data in a three-stage process using AFT model
Improving the product reliability is the main concern in both manufacturing and service processes which is obtained by monitoring the reliability-related quality characteristics. Nowadays, products or services are the result of processes with dependent stages referred to as multistage processes. In these processes, the quality characteristic in each stage is affected by the quality characterist...
متن کاملNonparametric Predictive Multiple Comparisons of Lifetime Data
We consider lifetime experiments to compare units from different groups, where the units’ lifetimes may be right-censored. Nonparametric predictive inference for comparison of multiple groups is presented, in particular lower and upper probabilities for the event that a specific group will provide the largest next lifetime. We include the practically relevant consideration that the overall life...
متن کامل"Choice of prediction models for competing risks with time-dependent covariates"
We discuss prediction models for competing risks cumulative incidence in presence of internal time-dependent covariates [1], and propose a statistical procedure in order to choose the best model in terms of prediction accuracy. A common aim is to identify statistical models that accurately predict the cumulative risks for individual subjects and those covariates that provide higher predictive a...
متن کامل