Comparison of two frameworks for analyzing longitudinal data
From MaRDI portal
Publication:2075707
DOI10.1214/20-STS813OpenAlexW3206558747MaRDI QIDQ2075707
Jie Zhou, Xiao-Hua Andrew Zhou, Liu-Quan Sun
Publication date: 15 February 2022
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/20-sts813
Cites Work
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times
- Random-Effects Models for Longitudinal Data
- Regression analysis of longitudinal data with time-dependent covariates in the presence of informative observation and censoring times
- Estimation of semiparametric regression model with longitudinal data
- Profile local linear estimation of generalized semiparametric regression model for longitudinal data
- Simultaneous modelling of survival and longitudinal data with an application to repeated quality of life measures
- Sampling Adjusted Analysis of Dynamic Additive Regression Models for Longitudinal Data
- Generalized Partially Linear Models for Incomplete Longitudinal Data In the Presence of Population‐Level Information
- Goodness-of-Fit Methods for Generalized Linear Mixed Models
- Missing Data in Longitudinal Studies
- Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data
- Regression Analysis of Longitudinal Data in the Presence of Informative Observation and Censoring Times
- Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
- Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
- An Approximate Generalized Linear Model with Random Effects for Informative Missing Data
- Time‐Varying Latent Effect Model for Longitudinal Data with Informative Observation Times
- Analysis of Longitudinal Clinical Trials with Missing Data Using Multiple Imputation in Conjunction with Robust Regression
- Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event
- A New Inference Approach for Joint Models of Longitudinal Data with Informative Observation and Censoring Times
- A semiparametric additive regression model for longitudinal data
- Inferences for a semiparametric model with panel data
- Modeling Longitudinal Data
- Semiparametric Time-Varying Coefficients Regression Model for Longitudinal Data
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
- Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data
- Semiparametric Regression Analysis of Longitudinal Data With Informative Observation Times