Can auxiliary variables be used in meta-analysis?

Any dynamic variable that is computed from other variables at a given time. Auxiliaries are typically the most numerous variable type. An auxiliary variable has ... Auxiliary variables are variables introduced into a model, either because it is difficult to express the constraints at all in terms of the existing variables, ... Sep 15, 2023 ... However, guidance for choosing auxiliary variables is lacking. We examine the consequences of a poorly chosen auxiliary variable: if it ... auxiliary variable given a set of other Z variables already in an imputation model, similar to the conditional partial R indicators of Schouten et al. (201 ... A new dependent variable that is not part of the physics interface is used, right-click either of these nodes to add an Auxiliary Dependent Variable subnode. While TLA+ properties have a lot of flexibility, they also have limits. You can't “forget” a property, like say “P is true until Q is true, after while P can be ... Analyzing data with full-information maximum likelihood with auxiliary variables. The techniques used to account for auxiliary variables are both ... The full model outperformed all auxiliary variable selection strategies in the simulation study, with the LASSO strategy the best performing auxiliary variable ... variable of interest Y, using the ranking variable X as an auxiliary variable when the population mean µx is unknown. The proposed estimators fare better ... In the first part we describe a simple technique using joint updating that improves the performance of the conventional probit regression algorithm. In the ...