Robust Estimating Functions and Bias Correction for Longitudinal Data Analysis
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Publication:5717149
DOI10.1111/j.1541-0420.2005.00354.xzbMath1079.62054OpenAlexW1966826089WikidataQ31002465 ScholiaQ31002465MaRDI QIDQ5717149
Publication date: 12 January 2006
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00354.x
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Cites Work
- Longitudinal data analysis using generalized linear models
- Resistant fits for regression with correlated outcomes an estimating equations approach
- Rank-based regression with repeated measurements data
- Quasi-Likelihood for Median Regression Models
- Some Covariance Models for Longitudinal Count Data with Overdispersion
- Robust analysis of variance based upon a likelihood ratio criterion
- Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
- Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance
- Robust Inference for Generalized Linear Models
- Robust Regression for Clustered Data with Application to Binary Responses
- M-Estimation in Cross-Over Trials
- Effects of Variance‐Function Misspecification in Analysis of Longitudinal Data
- Unbiased Estimating Equations From Working Correlation Models for Irregularly Timed Repeated Measures
- Robust Statistics
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