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Let { (Y ∗, W ∗, X ∗ ) ; n g ∗ number of missing exposures } be a subdata where Y∗ is observed, but W∗ is all missing with the true value X∗ while {(Y, W, X); n g number of observed exposures} denotes those without any missing value.
Similar(57)
They were all missing".
"I think we're all missing the winning feeling.
The fact is that they are all missing the point.
Descriptions of time, place and dialogue are all missing.
"We're all missing each other's food, and we're missing each other.
So we are all missing out".
We are all missing him so much.
Who's the one you're all missing?
But they're all missing the point.
"You people are all missing the point," Cook said.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com