Missing data are ubiquitous in medical research, yet there is still uncertainty over when
restricting to the complete records is likely to be acceptable, when more complex methods …

Multiple imputation: a primer - Joseph L Schafer, 1999 Skip to main content Intended for
healthcare professionals Sage Journals Home Search this journal Search all journals Enter …

Background Iron content is increased in the substantia nigra of persons with Parkinson's
disease and may contribute to the pathophysiology of the disorder. Early research suggests …

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or
mean imputation, only work under highly restrictive conditions, which are often not met in …

What drives politics in dictatorships? Milan W. Svolik argues authoritarian regimes must
resolve two fundamental conflicts. Dictators face threats from the masses over which they …

Coordinate-based meta-analyses (CBMA) are very useful for summarizing the large number
of voxel-based neuroimaging studies of normal brain functions and brain abnormalities in …

The most user-friendly and authoritative resource on missing data has been completely
revised to make room for the latest developments that make handling missing data more …

The R package mice imputes incomplete multivariate data by chained equations. The
software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R …

Missing data are ubiquitous in psychological research. By missing data, I mean data that are
missing for some (but not all) variables and for some (but not all) cases. If data are missing …

Importance Abnormal reward processing is suggested to underlie the formation of psychotic
symptoms, likely driven by elevated ventral striatal (VS) dopamine levels. Functional …