Silva GO, Ortega EMM, Garibay VC, Barreto ML (2008) Log-Burr XII regression models with censored Data. Comput Statist Data Anal 52: 3820–3842 MATH MathSciNetSilva, G. O., Ortega, E. M. M., Garibay, V. C., Barreto, M. L. (2008). Log-Burr XII regression models with censored ...
In a recent paper, Kooperberg, Stone, and Truong (1995a) introduced hazard regression (HARE), in which linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data and one or more covariates. Model selection...
In this note, we develop a new M-estimation procedure for the semiparametric linear model with right censored data. The method is easy to implement and yields a class of estimators which are consistent and asymptotically normal. We also develop a resampling method for the estimation of the limit...
This makes it especially useful for data with medium or high dimensional covariates. Simulation studies are developed to illustrate the performance of proposed methods. 展开 关键词: Quantile regression model Empirical likelihood method Censored data Asymptotic properties ...
Weighted quantile regression for censored data with application to export duration dataCensored quantile regressionAalen estimatorExport durationExisting literature on censored quantile regression requires global linearity, bandwidth selection, or complex computation. In the current study, we propose weighted ...
pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across ...
摘要: The nearest neighbor estimator of non-parametric regression functions with censored data is discussed by using hoeffding inequality. Under some conditions, the strong convergence rate is obtained. The problem proposed by Zheng Zhukang is partly resolved....
Strong Consistency of Improved Kernel Estimate of Regression Function with Censored Data 来自 Semantic Scholar 喜欢 0 阅读量: 32 作者:HU Yuping,L Xue 摘要: Let (X, Y) be a Rd × R1-Valued random vector with E(Y) ∞ and m(x) = E(YX = x) be the regression of Y with respect to...
Distinguish between censored and truncated. With censored outcomes, it is the outcomes that are not observed even though the observation is in our data; we observe the other values for the person. In truncated data, it is the observation that is entirely missing from our data. Stata has an ...
Under mild assumptions, we could prove that the estimated coefficients of unstable covariates \({\hat{\beta }}_{w}(V)\) will approach zeros with high probability (detailed in ‘Theoretical results’ in Methods). Evaluation on the simulated survival data...