Semiparametric Regression Analysis of Panel Count Data: A Practical Review
From MaRDI portal
Publication:6086604
DOI10.1111/INSR.12271WikidataQ129685901 ScholiaQ129685901MaRDI QIDQ6086604
Chiung-Yu Huang, Gongjun Xu, Sy Han Chiou, Jun Yan
Publication date: 10 November 2023
Published in: International Statistical Review (Search for Journal in Brave)
Full work available at URL: https://hdl.handle.net/2027.42/149207
Related Items (2)
Weighted Rank Estimation for Random-Effects Monotonic Index Models With Panel Count Data ⋮ Nonparametric inference for panel count data with competing risks
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Two likelihood-based semiparametric estimation methods for panel count data with covariates
- Statistical analysis of panel count data
- Regression analysis of multivariate panel count data with an informative observation process
- Semiparametric regression of multivariate panel count data with informative observation times
- Cox's regression model for counting processes: A large sample study
- Semiparametric analysis of panel count data with correlated observation and follow-up times
- Semiparametric regression analysis of panel count data allowing for within-subject correlation
- Two estimators of the mean of a counting process with panel count data.
- Robust estimation for panel count data with informative observation times
- Semiparametric partially linear varying coefficient models with panel count data
- Analysing panel count data with informative observation times
- Nonparametric k-sample tests with panel count data
- Spline-based semiparametric projected generalized estimating equation method for panel count data
- Analysis of Panel Data
- Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates
- Semiparametric transformation models for multivariate panel count data with dependent observation process
- Analysis of panel count data with measurement errors in the covariates
- Monotone spline‐based least squares estimation for panel count data with informative observation times
- Regression analysis of multivariate panel count data
- Semiparametric Analysis for Recurrent Event Data with Time-Dependent Covariates and Informative Censoring
- Simple and Globally Convergent Methods for Accelerating the Convergence of Any EM Algorithm
- Marginal analysis of panel counts through estimating functions
- The Analysis of Panel Data Under a Markov Assumption
- Two-Point Step Size Gradient Methods
- An Analysis of Comparative Carcinogenesis Experiments Based on Multiple Times to Tumor
- On the regression analysis of multivariate failure time data
- Regression Parameter Estimation from Panel Counts
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- A semiparametric pseudolikelihood estimation method for panel count data
- Semiparametric estimation of the accelerated mean model with panel count data under informative examination times
- Analysis of Gap Times Based on Panel Count Data With Informative Observation Times and Unknown Start Time
- Some Simple Robust Methods for the Analysis of Recurrent Events
- A spline‐based semiparametric sieve likelihood method for over‐dispersed panel count data
- Semiparametric Estimation Methods for Panel Count Data Using MonotoneB-Splines
- Multivariate Bernoulli Mixture Models with Application to Postmortem Tissue Studies in Schizophrenia
- Spectral residual method without gradient information for solving large-scale nonlinear systems of equations
This page was built for publication: Semiparametric Regression Analysis of Panel Count Data: A Practical Review