4 papers
Three issues impeding communication of statistical methodology for incomplete data
John C. Galati
We identify three issues permeating the literature on statistical methodology for incomplete data written for non-specialist statisticians and other investigators. The first is a m…
What is meant by 'P(R|Yobs)'?
John C. Galati
Missing at Random (MAR) is a central concept in incomplete data methods, and often it is stated as $P(R\mspace{3mu}|\,Y_{obs}, Y_{mis}) = P(R\mspace{3mu}|\,Y_{obs})$. This notation…
A fresh look at ignorability for likelihood inference
John C Galati
When data are incomplete, a random vector Y for the data process together with a binary random vector R for the process that causes missing data, are modelled jointly. We review co…
When is missing and observed?
John C. Galati
In statistical modelling of incomplete data, missingness is encoded as a relation between datasets Y and response patterns R. The partitioning of Y into observed and missing compon…