Titlebook: Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates; Jeffrey R. Wilson,Elsa Vazquez-Arreola,(Din) Ding- B

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Partitioned GMM Logistic Regression Models for Longitudinal Data,s. Instead of grouping the valid moment conditions to obtain an average effect of the covariate on the response, a partitioning of the moment conditions is explored. This partitioning produces extra regression parameters for each covariate, with insight into each of the time-varying relationships in

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Simultaneous Modeling with Time-Dependent Covariates and Bayesian Intervals,when the covariates do vary over time (time-dependent covariates), there is extra relation due to the delayed effects that need to be accounted for. Moreover, it is not uncommon that these studies consist of simultaneous responses on the subject. However, as the observations are correlated, a joint

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A Two-Part GMM Model for Impact and Feedback for Time-Dependent Covariates,ign. In addition, the correlation may be realized due to the time-dependent covariate created between the responses at a particular time and the predictors at earlier times. Also, there is feedback between response at present and the covariates at a later time, though this may not always be signific

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lues in Japanese-English and Japanese-Spanish translations of . from the same source texts. In line with prior observations on comparability of cognitive effort exerted in translations from English to closely related European languages, we also find comparable average word translation entropy values