English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We identify three issues permeating the literature on statistical methodologyfor incomplete data written for non-specialist statisticians and otherinvestigators. The first is a mathematical defect in the notation Yobs, Ymisused to partition the data into observed and missing components. The second areissues concerning the notation `P(R|Yobs, Ymis)=P(R|Yobs)' used forcommunicating the definition of missing at random (MAR). And the third is theframing of ignorability by emulating complete-data methods exactly, rather thantreating the question of ignorability on its own merits. These issues have beenpresent in the literature for a long time, and have simple remedies. Thepurpose of this paper is to raise awareness of these issues, and to explain howthey can be remedied.

Three issues impeding communication of statistical methodology for incomplete data