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!Description
![*Example]<br>A cohort study in which participants report their body weight every week to research centerfor 52 weeks in total
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!Missing not at random<br>MNAR
|Missing depends on observed data themselves|Some participants intentionally deny to report higher body weights they don't like and only report lower body weights they like*Data of those participants are missed because of the values in the variable ''body weight'' themselves
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!Missing at randam<br>MAR
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*Missing does not may depend on '''observed data ''' but may does not depend on ''unobserved data''
*Missing can be explained
|Female 15% of female participants less likely deny to report their body weights than after the agreement regardless of measured body weights, but only 1% of male participantsdeny to report:*Data of female participants are more likely missed not because of data (body weights) themselves but because female tend to be are more likely reluctant to report their body weights*In other words, values in the variable of ''body weight'' itself does themselves do not affect the missing but another variable ''sex'' affects the missing of values in the variable ''body weight''
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!Missing completely at random<br>MCAR
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*Missing does not NOT depend on '''observed data nor ''' NOR on ''unobserved data''
*Missing occurs purely at random independely from any observed and unobserved data
|A participant moves to outside cohort area because of family affair which has nothing to do with the study and is lost to follow upat the 10th week:*Data after the move are missed not because of data (body weights) themselves , nor because of the participant's unobserved (unmeasured) characteristicrelated to the study
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