Autor: |
MEALLI, FABRIZIA, RUBIN, DONALD B. |
Předmět: |
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Zdroj: |
Biometrika; Dec2015, Vol. 102 Issue 4, p995-1000, 6p |
Abstrakt: |
We clarify the key concept of missingness at random in incomplete data analysis. We first distinguish between data being missing at random and the missingness mechanism being a missing-at-random one, which we call missing always at random and which is more restrictive.We further discuss how, in general, neither of these conditions is a statement about conditional independence.We then consider the implication of the more restrictive missing-always-at-random assumption when coupled with full unit-exchangeability for the matrix of the variables of interest and the missingness indicators: the conditional distribution of the missingness indicators for any variable that can have a missing value can depend only on variables that are always fully observed. We discuss implications of this for modelling missingness mechanisms. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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