The AU algorithm for estimating equations in the presence of missing data
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Publication:962022
DOI10.1016/j.spl.2009.12.021zbMath1185.62050OpenAlexW2001449430MaRDI QIDQ962022
Wen-Qing Ma, Jian-hua Guo, Hui-Xiu Zhao
Publication date: 1 April 2010
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2009.12.021
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Point estimation (62F10)
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- A pairwise likelihood approach to analyzing correlated binary data
- A Pairwise Likelihood Procedure for Analyzing Exchangeable Binary Data with Random Cluster Sizes
- Binary Regression Using an Extended Beta-Binomial Distribution, With Discussion of Correlation Induced by Covariate Measurement Errors
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Estimating Variance Functions in Developmental Toxicity Studies
- The Generalized Estimating Equation Approach When Data Are Not Missing Completely at Random
- Mixtures of marginal models
- A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- A mean score method for missing and auxiliary covariate data in regression models
- The S-U algorithm for missing data problems
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