Estimation in a competing risks proportional hazards model under length-biased sampling with censoring
نویسندگان
چکیده
منابع مشابه
Estimation in a competing risks proportional hazards model under length-biased sampling with censoring.
What population does the sample represent? The answer to this question is of crucial importance when estimating a survivor function in duration studies. As is well-known, in a stationary population, survival data obtained from a cross-sectional sample taken from the population at time t(0) represents not the target density f (t) but its length-biased version proportional to t f (t), for t > 0. ...
متن کاملParametric Estimation in a Recurrent Competing Risks Model
A resource-efficient approach to making inferences about the distributional properties of the failure times in a competing risks setting is presented. Efficiency is gained by observing recurrences of the compet- ing risks over a random monitoring period. The resulting model is called the recurrent competing risks model (RCRM) and is coupled with two repair strategies whenever the system fails. ...
متن کاملE cient Estimation for the Proportional Hazards Model with Case Interval Censoring
Maximum likelihood estimation for the proportional hazards model with interval censored data is considered The estimators are computed by pro le likelihood methods using Groeneboom s iterative convexminorant algorithm Under appropriate regularity conditions the maximum likelihood estimator for the regression parameter is shown to be asymptotically normal and e cient Two approaches for estimatio...
متن کاملTime-dependent covariates in the proportional subdistribution hazards model for competing risks.
Separate Cox analyses of all cause-specific hazards are the standard technique of choice to study the effect of a covariate in competing risks, but a synopsis of these results in terms of cumulative event probabilities is challenging. This difficulty has led to the development of the proportional subdistribution hazards model. If the covariate is known at baseline, the model allows for a summar...
متن کاملPoint Prediction for the Proportional Hazards Family under Progressive Type-II Censoring
In this paper, we discuss dierent predictors of times to failure of units censored in multiple stages in a progressively censored sample from proportional hazard rate models. The maximum likelihood predictors, best unbiased predictors and conditional median predictors are considered. We also consider Bayesian point predictors for the times to failure of units. A numerical example and a Monte C...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Lifetime Data Analysis
سال: 2013
ISSN: 1380-7870,1572-9249
DOI: 10.1007/s10985-013-9248-6