Analysis of longitudinal data with intermittent missing values using the stochastic EM algorithm-Reference-Cited by-同舟云学术

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Analysis of longitudinal data with intermittent missing values using the stochastic EM algorithm

Published:2006-06 Issue:10 Volume:50 Page:2702-2714
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Gad Ahmed M.,Ahmed Abeer S.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference30 articles.

1. The SEM algorithm: a probabilistic teacher algorithm derived from the EM algorithm for the mixture problems;Celuex;Computat. Statist. Quart.,1985

2. Modelling Binary Data;Collet,1991

3. Convergence of a stochastic approximation version of the EM algorithm;Delyon;Ann. Statist.,1999

4. Maximum likelihood from incomplete data via the EM algorithm (with discussion);Dempster;J. Roy. Statist. Soc. B,1977

5. Stochastic EM: method and application;Diebolt,1996

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1. FITTING LONGITUDINAL DATA WITH MISSING VALUES IN THE RESPONSE AND COVARIATES;Advances and Applications in Statistics;2020-10-20

2. The Estimation of Missing Values in Rectangular Lattice Designs;Journal of Modern Applied Statistical Methods;2019-09-03

3. A stochastic variant of the EM algorithm to fit mixed (discrete and continuous) longitudinal data with nonignorable missingness;Communications in Statistics - Theory and Methods;2019-04-14

4. Missing Data Approaches for Rational Decision Making: Application to Antenatal Data;Artificial Intelligence Techniques for Rational Decision Making;2014

5. Optimum estimation of missing values in randomized complete block design by genetic algorithm;Knowledge-Based Systems;2013-01

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