A comparison of likelihood-based and marginal estimating equation methods for analysing repeated ordered categorical responses with missing data: Application to an intervention trial of vitamin prophylaxis for oesophageal dysplasia

1994 ◽  
Vol 13 (5-7) ◽  
pp. 479-493 ◽  
Author(s):  
Steven D. Mark ◽  
Mitchell H. Gail
2020 ◽  
Author(s):  
Pere Ferrando ◽  
Urbano Lorenzo-Seva

<p>Unit-weight sum scores (UWSSs) are routinely used as estimates of factor scores on the basis of solutions obtained with the non-linear exploratory factor analysis (EFA) model for ordered-categorical responses. Theoretically, this practice results in a loss of information and accuracy, and is expected to lead to biased estimates. However, the practical relevance of these limitations is far from clear. In this article we adopt an empirical view, and propose indices and procedures (some of them new) for assessing the appropriateness of UWSSs in non-linear EFA applications. A new automated approach for obtaining UWSSs that maximize fidelity and correlational accuracy is proposed. The appropriateness of UWSSs under different conditions and the behavior of the present proposal in comparison with other more common approaches are assessed with a simulation study. A tutorial for interested practitioners is presented using an illustrative example based on a well-known personality questionnaire. All the procedures proposed in the article have been implemented in a well-known noncommercial EFA program. </p>


2013 ◽  
Vol 787 ◽  
pp. 1089-1092
Author(s):  
Pei Xin Zhao

By using the imputation-based estimating equation method, an imputed estimation procedure for the coefficient functions is proposed. The proposed procedure can attenuate the effect of the missing data, and performs well for the finite sample.


2020 ◽  
pp. 001316442093810
Author(s):  
Pere J. Ferrando ◽  
Urbano Lorenzo-Seva

Unit-weight sum scores (UWSSs) are routinely used as estimates of factor scores on the basis of solutions obtained with the nonlinear exploratory factor analysis (EFA) model for ordered-categorical responses. Theoretically, this practice results in a loss of information and accuracy, and is expected to lead to biased estimates. However, the practical relevance of these limitations is far from clear. In this article, we adopt an empirical view and propose indices and procedures (some of them new) for assessing the appropriateness of UWSSs in nonlinear EFA applications. A new automated approach for obtaining UWSSs that maximize fidelity and correlational accuracy is proposed. The appropriateness of UWSSs under different conditions and the behavior of the present proposal in comparison with other more common approaches are assessed with a simulation study. A tutorial for interested practitioners is presented using an illustrative example based on a well-known personality questionnaire. All the procedures proposed in the article have been implemented in a well-known noncommercial EFA program.


2019 ◽  
Vol 47 (7) ◽  
pp. 1261-1281
Author(s):  
Daniel Fernández ◽  
Ivy Liu ◽  
Roy Costilla ◽  
Peter Yongqi Gu

1997 ◽  
Vol 18 (3) ◽  
pp. S74-S75
Author(s):  
Kim Bolland ◽  
John Whitehead ◽  
M.R. Sooriyarachchi

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