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4 results for missing data.

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Analysis of Mixed Discrete and Heavy Tailed Longitudinal Data with Non-random Missingness Using Stochastic Variants of the EM Algorithm
by Abdallah S. A. Yaseen
American Journal of Applied Mathematics and Statistics. 2022, 10(1), 28-38. DOI: 10.12691/ajams-10-1-5
Pub. Date: April 10, 2022Views: 2787Downloads: 5372
stochastic expectation maximization parametric fractional imputation interstitial cystitis longitudinal data maximum likelihood missing data
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A Review of Software Packages for Structural Equation Modeling: A Comparative Study
by Ahmed A. El-Sheikh, Mohamed R. Abonazel and Noha Gamil
Applied Mathematics and Physics. 2017, 5(3), 85-94. DOI: 10.12691/amp-5-3-2
Pub. Date: August 03, 2017Views: 24326Downloads: 19496
AMOS Confirmatory factor analysis Goodness-of-fit indexes LISREL Missing data analysis R software
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A Shared Parameter Model for Longitudinal Data with Missing Values
by Ahmed M. Gad and Nesma M. M. Darwish
American Journal of Applied Mathematics and Statistics. 2013, 1(2), 30-35. DOI: 10.12691/ajams-1-2-3
Pub. Date: May 03, 2013Views: 27504Downloads: 20440
longitudinal data missing data Monte Carlo nonrandom missing repeated measures shared parameters standard errors stochastic EM
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Maximum Likelihood Approach for Longitudinal Models with Nonignorable Missing Data Mechanism Using Fractional Imputation
by Abdallah S. A. Yaseen, Ahmed M. Gad and Abeer S. Ahmed
American Journal of Applied Mathematics and Statistics. 2016, 4(3), 59-66. DOI: 10.12691/ajams-4-3-1
Pub. Date: May 30, 2016Views: 19568Downloads: 18302
longitudinal data mastitis data missing data nonrandom dropout parametric fractional imputation repeated measures standard errors
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