Asymptotic theory for longitudinal data with missing responses adjusted by inverse probability weights
DOI10.3103/S1066530719020017zbMath1431.62306arXiv1803.05836OpenAlexW2965912450MaRDI QIDQ2322943
Dragan Janković, Raluca M. Balan
Publication date: 29 August 2019
Published in: Mathematical Methods of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1803.05836
longitudinal dataasymptotic propertiesgeneralized estimating equationsmissing at randominverse probability weights
Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Missing data (62D10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Asymptotics of estimating equations under natural conditions.
- Asymptotics for generalized estimating equations with large cluster sizes
- Strong consistency of maximum quasi-likelihood estimators in generalized linear models with fixed and adaptive designs
- Asymptotic results with generalized estimating equations for longitudinal data
- Simultaneous Inference and Bias Analysis for Longitudinal Data with Covariate Measurement Error and Missing Responses
- Bias in Estimating Association Parameters for Longitudinal Binary Responses with Drop‐Outs
- A functional generalized method of moments approach for longitudinal studies with missing responses and covariate measurement error
- Variable selection and inference procedures for marginal analysis of longitudinal data with missing observations and covariate measurement error
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- Semiparametric Efficiency in Multivariate Regression Models with Missing Data
- Weighted Generalized Estimating Functions for Longitudinal Response and Covariate Data That Are Missing at Random
- Expected Estimating Equations for Missing Data, Measurement Error, and Misclassification, with Application to Longitudinal Nonignorable Missing Data
This page was built for publication: Asymptotic theory for longitudinal data with missing responses adjusted by inverse probability weights
