Semiparametric Transformation Models for Point Processes
From MaRDI portal
Publication:4419447
DOI10.1198/016214501753168299zbMath1017.62071OpenAlexW2056584356MaRDI QIDQ4419447
L. J. Wei, Zhiliang Ying, D. Y. Lin
Publication date: 13 August 2003
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/016214501753168299
proportional hazardssurvival datacounting processesrecurrent eventsintensity modelproportional means
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09) Estimation in survival analysis and censored data (62N02)
Related Items
Robust estimation of semiparametric transformation model for panel count data, A class of transformation rate models for recurrent event data, Joint analysis of recurrent event data with a dependent terminal event, Nonparametric tests for panel count data with unequal observation processes, Regression analysis of asynchronous longitudinal data with informative observation processes, Variable selection for recurrent event data via nonconcave penalized estimating function, Semiparametric transformation models for multivariate panel count data with dependent observation process, A new joint model of recurrent event data with the additive hazards model for the terminal event time, Semiparametric analysis of multivariate panel count data with dependent observation processes and a terminal event, Regression Analysis of Longitudinal Data with Time-Dependent Covariates and Informative Observation Times, A semiparametric additive rates model for multivariate recurrent events with missing event categories, Regression analysis of multivariate panel count data with an informative observation process, Regression Analysis of Panel Count Data With Both Time-Dependent Covariates and Time-Varying Effects, Joint modeling of generalized scale-change models for recurrent event and failure time data, Estimation in a general semiparametric hazards regression model with missing covariates, A class of additive-accelerated means regression models for recurrent event data, Analyzing recurrent and nonrecurrent terminal events data in discrete time, The Cox–Aalen model for recurrent‐event data with a dependent terminal event, Joint analysis of longitudinal data with additive mixed effect model for informative observation times, A semiparametric additive rates model for clustered recurrent event data, An overview of semiparametric models in survival analysis, A class of partially linear transformation models for recurrent gap times, Semiparametric Transformation Models with Time-Varying Coefficients for Recurrent and Terminal Events, Analyzing longitudinal data with informative observation and terminal event times, Analysis of panel count data with time-dependent covariates and informative observation process, Semiparametric linear transformation models for current status data, Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event, Semiparametric inference for transformation models via empirical likelihood, A semiparametric additive rate model for a modulated renewal process, A class of mean residual life regression models with censored survival data, A class of accelerated means regression models for recurrent event data, Joint modeling of longitudinal data with a dependent terminal event, Accelerated Recurrence Time Models, Semiparametric Time-Varying Coefficients Regression Model for Longitudinal Data, Semiparametric proportional means model for marker data contingent on recurrent event, Estimation of semiparametric regression model with longitudinal data, Additive-multiplicative rates model for recurrent events, Regression analysis of multivariate recurrent event data with a dependent terminal event, A class of Box-Cox transformation models for recurrent event data, An additive-multiplicative rates model for recurrent event data with informative terminal event, A flexible semiparametric transformation model for recurrent event data, Partly Functional Temporal Process Regression with Semiparametric Profile Estimating Functions, Causal inference for recurrent events data with all-or-none compliance, Regression analysis of multivariate recurrent event data with time-varying covariate effects, A class of mixed models for recurrent event data, A general additive-multiplicative rates model for recurrent event data, Analyzing panel count data with a dependent observation process and a terminal event, Additive mixed effect model for recurrent gap time data
