Multiple imputation of missing data with ante-dependence covariance structure - Zhang () Citation Context ...nverse models), fat, dashed line: suggested threshold density for incomplete control measurements are ordered in time and the present measurement depends only on the immediate antecedent ...
then a reversed imputation model may be used. For this model, the covariate is written on the left-hand side of Eq.1and the outcome on the right-hand side (with fixed and random effects). We will refer to this as the “reversed RC model” and denote itf(X|Y,...
Negative log10 two-sided P value derived from a fixed-effects inverse-variance weighted meta-analysis of log(OR) effect-sizes derived from the logistic regression GWAS (y-axis) are plotted by their chromosome position. The confirmed-only analysis included 30,134 cases with histopathologically confi...
It might in some circumstances be valid to include the 'ran- dom effect' covariate (for example 'centre') as a fixed-effect covariate during the imputation step and then use mixed model analysis or generalised estimating equations (GEE) during the analysis step [29, 33]. However, the ...
in reference-free simulations. We comprehensively benchmark scCube with existing single-cell or SRT simulators, and demonstrate the utility of scCube in benchmarking spot deconvolution, gene imputation, and resolution enhancement methods in detail through three applications....
Convergence and imputation performance analysis The initial experiments aim to assess the convergence of the proposed methods. We compare our approach with VAEs and MIWAE. It should be noted that VAEs can be viewed as the special case where L = 1 and S = 1, and MIWAE is fixed with S ...
Phenotype and genotype data for all populations were combined for GWAS with the same model as described above but including a fixed effect of population. Meta-analysis Meta-analysis approaches differ mainly on the parameters used, i.e. p-values or allele substitution effects [8]. The most widel...
Multiple imputation methods may be used to address missing data for variables with moderate amounts of missing data. Formal interim analyses and stopping rules are not planned given the relatively short duration of our inter- vention and primary aims of behavior change. Primary outcomes An intent-...
did_multiplegt_dyn. Indynmode, the command computes heterogeneity-robust event-study DID estimators introduced in de Chaisemartin and D'Haultfoeuille (2024a). Like other recently proposed DID estimators (csdid, didimputation, ...), these estimators can be used with a binary and staggered (ab...
We modelled Multivariate Traits = Cross + Inversion + Cross × Inversion, with cross type (either CL9.1 or CL10.1 as maternal parent), three inversion genotypes (inversion, standard, or heterozygote), and their interaction as fixed-effect predictor variables. P-values were ...