A semi-parametric framework using fractional imputation and EM algorithm for estimating causal direct and indirect effects with left-censored mediators due to assay limits.
Journal of the American Statistical Association , volume=
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Reordering flows in regression by composition changes the implied conditional distributions, model parameter interpretations, and associated estimation problems.
A commentary offering a parameter-centric view on regression by composition.
A discussion paper examining variation-independent regression through composition of statistical models.
citing papers explorer
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Evaluating causal indirect effects when mediators are left-censored by assay limit of quantification
A semi-parametric framework using fractional imputation and EM algorithm for estimating causal direct and indirect effects with left-censored mediators due to assay limits.
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Order Dependence in Regression by Composition: Discussion on "Regression by Composition'' by Farewell, Daniel, Stensrud, and Huitfeldt
Reordering flows in regression by composition changes the implied conditional distributions, model parameter interpretations, and associated estimation problems.