Marginal Regression Models for Multivariate Failure Time Data
From MaRDI portal
Publication:4541178
DOI10.2307/2669859zbMath1064.62572OpenAlexW4256639289MaRDI QIDQ4541178
Publication date: 30 July 2002
Full work available at URL: https://doi.org/10.2307/2669859
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)
Related Items
A semi-parametric approach to analysis of event duration and prevalence, Factor copula models for right-censored clustered survival data, An additive hazards frailty model with semi-varying coefficients, Time-varying coefficients in a multivariate frailty model: application to breast cancer recurrences of several types and death, Model checking for additive hazards model with multivariate survival data, Modelling udder infection data using copula models for quadruples, Pseudo-value approach for conditional quantile residual lifetime analysis for clustered survival and competing risks data with applications to bone marrow transplant data, Multivariate failure times regression with a continuous auxiliary covariate, Clustered Survival Data with Left‐truncation, Screening group variables in the proportional hazards model, Analysis of multivariate recurrent event data with time-dependent covariates and informative censoring, Intention-to-treat comparisons in randomized trials, A new estimating equation approach for marginal hazard ratio estimation, Proportional mean residual life model with varying coefficients for length-biased and right-censored data, Regression Models and Multivariate Life Tables, Adaptive bi-level variable selection for multivariate failure time model with a diverging number of covariates, A simple construction of optimal estimation in multivariate marginal Cox regression, Non‐parametric regression in clustered multistate current status data with informative cluster size, Variable selection in semiparametric hazard regression for multivariate survival data, Partially linear transformation models with varying coefficients for multivariate failure time data, Multivariate survival analysis in big data: A divide‐and‐combine approach, A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes, Proportional Hazards Model with a Change Point for Clustered Event Data, Improving estimation efficiency for multivariate failure time data with auxiliary covariates, Improving marginal hazard ratio estimation using quadratic inference functions, Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials, Fitting marginal accelerated failure time models to clustered survival data with potentially informative cluster size, Marginal analysis of multivariate failure time data with a surviving fraction based on semiparametric transformation cure models, A semiparametric additive rates model for clustered recurrent event data, Two-stage estimation in copula models used in family studies, Marginal regression of multivariate event times based on linear transformation models, Semiparametric methods for clustered recurrent event data, A marginal regression model for multivariate failure time data with a surviving fraction, On the Breslow estimator, Semiparametric regression and risk prediction with competing risks data under missing cause of failure, Marginal accelerated hazard model with multivariate failure time data, Marginal Models for Clustered Time-to-Event Data with Competing Risks Using Pseudovalues, A Positive Stable Frailty Model for Clustered Failure Time Data with Covariate-Dependent Frailty, Proportional Hazards Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies, A goodness-of-fit test for parametric models based on dependently truncated data, Incorporating Correlation for Multivariate Failure Time Data When Cluster Size Is Large, Checking the Grouped Data Version of the Cox Model for Interval‐grouped Survival Data, Partial orders with respect to continuous covariates and tests for the proportional hazards model, Proportional Hazards Model for Multivariate Failure Time Data, Marginal Analysis of Correlated Failure Time Data with Informative Cluster Sizes, Analysis of Failure Time Data with Multilevel Clustering, with Application to the Child Vitamin A Intervention Trial in Nepal, Additive hazards regression with random effects for clustered failure times, Consistency of the estimator of cumulative hazard function in estimated pseudo-partial-likelihood approach, Survival analysis based on the proportional hazards model and survey data, A Khmaladze-transformed test of fit with ML estimation in the presence of recurrent events, Hazard models with varying coefficients for multivariate failure time data, Competing Risks Analysis of Correlated Failure Time Data, Asymptotic results for fitting marginal hazard models from stratified case-cohort studies with multiple disease outcomes, Checking the linear transformation model for clustered failure time observations, On Estimation of the Hazard Function From Population-Based Case–Control Studies, On estimation and inference in a partially linear hazard model with varying coefficients, Nonparametric Models and Methods for Designs with Dependent Censored Data: Part I, Dynamic path analysis for event time data: large sample properties and inference, Regression analysis of multivariate recurrent event data with a dependent terminal event, A two-stage estimation in the Clayton-Oakes model with marginal linear transformation models for multivariate failure time data, Marginal hazard regression for correlated failure time data with auxiliary covariates, Semiparametric additive marginal regression models for multiple type recurrent events, Measuring early or late dependence for bivariate lifetimes of twins, Partially Linear Hazard Regression with Varying Coefficients for Multivariate Survival Data, Marginal Hazards Regression for Retrospective Studies within Cohort with Possibly Correlated Failure Time Data, Analysis of cyclic recurrent event data with multiple event types, Estimation of Direct Effects for Survival Data by using the Aalen Additive Hazards Model, Regression analysis of multivariate recurrent event data with time-varying covariate effects, On Nonparametric Maximum Likelihood Estimations of Multivariate Distribution Function Based on Interval-Censored Data, Gaining efficiency via weighted estimators for multivariate failure time data, On the targets of inference with multivariate failure time data, Estimated Pseudopartial‐Likelihood Method for Correlated Failure Time Data with Auxiliary Covariates, Marginal analysis for clustered failure time data, Estimation in the positive stable shared frailty Cox proportional hazards model