Dimension reduction for censored regression data
From MaRDI portal
Publication:1807182
DOI10.1214/16-AOS1532zbMath0932.62050OpenAlexW2964306076WikidataQ52629374 ScholiaQ52629374MaRDI QIDQ1807182
Jane-Ling Wang, Ker-Chau Li, Chun-Houh Chen
Publication date: 9 November 1999
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/16-aos1532
survival analysisCox modelhazard functioncurse of dimensionalitydimensionality reductionKaplan-Meier estimatecensored linear regressionsliced inverse regressionregression graphicsaccelated failure time model
Nonparametric regression and quantile regression (62G08) Censored data models (62N01) Diagnostics, and linear inference and regression (62J20)
Related Items
A Review on Sliced Inverse Regression, Sufficient Dimension Reduction, and Applications, Efficient Estimation for Dimension Reduction with Censored Survival Data, Asymptotics for a censored generalized linear model with unknown link function, Sufficient dimension reduction for survival data analysis with error-prone variables, Regularized linear censored quantile regression, Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates, Single index regression models in the presence of censoring depending on the covariates, A new reproducing kernel‐based nonlinear dimension reduction method for survival data, Dimension Reduction for Integrative Survival Analysis, A quantile‐slicing approach for sufficient dimension reduction with censored responses, Randomly censored partially linear single-index models, Dimension reduction based linear surrogate variable approach for model free variable selection, Sliced inverse regression for survival data, Sufficient dimension reduction on marginal regression for gaps of recurrent events, Double-slicing assisted sufficient dimension reduction for high-dimensional censored data, On sufficient dimension reduction for proportional censorship model with covariates, Sufficient dimension reduction with simultaneous estimation of effective dimensions for time-to-event data, Conditionally specified models and dimension reduction in the exponential families, Sliced inverse regression in reference curves estimation, Estimation of single index model with missing response at random, Sparse dimension reduction for survival data, Quantile based dimension reduction in censored regression, Weighted estimation of single index models with right censored responses, Censored multiple regression by the method of average derivatives, Asymptotic distributions of two ``synthetic data estimators for censored single-index models, Model-free predictor tests in survival regression through sufficient dimension reduction, New approaches to model-free dimension reduction for bivariate regression, Tobit model estimation and sliced inverse regression, Asymptotically Optimal Sequential Design for Rank Aggregation