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We propose two approaches; one is likelihood based (LRT, Wald, and Score test), and the other is a regression based approach coined as PM test.
We proposed two approaches; one is likelihood based (LRT, Wald, and Score test), while the other is regression based approach (extension of Pitman-Morgan).
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Two main approaches in handling missing outcomes are likelihood based analyses and imputation [ 10].
Second, it should be noted that the inference procedures discussed in this paper (except the PM test) are likelihood based and their statistical properties may not be appropriate in small samples.
Since the scan statistic is likelihood-based, the most likely zones can be selected and tested for statistical significance.
However, these robust techniques are not likelihood based, as is the case with Rubin's rules.
The inferential procedure depends on the multivariate normality of the measurements and is mainly likelihood based.
Model estimates were maximum likelihood based using the Iterative Generalised Least-Squares (IGLS) algorithm as implemented within the MLwin software programme (V.2.23).
However, under MCAR or MAR, multiple imputations should lead to analyses that are similar to likelihood based analyses, being asymptotically equivalent as the number of imputations increase.
The QIC is analogous to Akaike's information criterion (AIC) for GEEs, which are not strictly likelihood based.
The estimation procedure used was the maximum likelihood based on an input variance-covariance matrix.
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CEO of Professional Science Editing for Scientists @ prosciediting.com