「Missing data and imputation」の版間の差分
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5行目: | 5行目: | ||
|+Mechanisms (assumptions) of data missing | |+Mechanisms (assumptions) of data missing | ||
|- | |- | ||
− | !style="width:7em"| | + | !style="width:7em" rowspan="2"| |
− | !style="witdh:4em"|Abbr. | + | !style="witdh:4em" rowspan="2"|Abbr. |
− | ! | + | !colspan="2"|Missing depends on/<br>Missing occurs because of |
− | ![Example]<br>A cohort study in which participants self report their body weight every week via special app installed on their smartphones | + | !rowspan="2"|[Example]<br>A cohort study in which participants self report their body weight every week via special app installed on their smartphones. Demographic variables are also collected. |
+ | |- | ||
+ | !style="width:7em"|missing (unobserved) value itself | ||
+ | !style="width:7em"|other observed variable(s) | ||
|- | |- | ||
!Missing not at random | !Missing not at random | ||
!MNAR | !MNAR | ||
+ | |style="text-align:center"|<big>YES</big> | ||
+ | |style="text-align:center"|— | ||
| | | | ||
− | + | *Some participants '''intentionally denied to report higher body weights they didn't like''' and only reported lower body weights they accepted | |
− | + | *Researchers have no information why they denied to report body weights in several weeks | |
− | *Some participants '''intentionally | + | **Missing occurred '''because of the missing values themselves''' |
− | ** | + | **Researchers cannot explain/predict the missing mechanism from other observed (reported) body weights or other variables |
− | **Researchers cannot explain/predict the missing mechanism | ||
|- | |- | ||
!Missing at randam | !Missing at randam | ||
!MAR | !MAR | ||
+ | |style="text-align:center"|<big>NO</big> | ||
+ | |style="text-align:center"|<big>YES</big> | ||
| | | | ||
− | * | + | *'''15% of female participants denied to report''' their body weights after participation '''regardless of measured body weights''', but only 1% of male denied to report |
− | + | *Researchers can identify that female participants more likely denied to report body weights than male | |
− | + | **Missing occurred NOT because of body weights themselves but '''because of another variable ''sex''''' | |
− | ** | + | **Missing mechanism is at random, i.e., free from missing values only inside each participant, but NOT at random, i.e., NOT free from variable ''sex'' |
− | **Missing mechanism is at random, i.e., free from | ||
− | |||
|- | |- | ||
!Missing completely at random | !Missing completely at random | ||
!MCAR | !MCAR | ||
+ | |style="text-align:center"|<big>NO</big> | ||
+ | |style="text-align:center"|<big>NO</big> | ||
| | | | ||
− | * | + | *A participant '''moved to outside cohort area''' because of family affair and was lost to follow up |
− | + | *A participant '''failed to report body weights because of malfunction of the app''' | |
− | + | **Missing occurred NOT because of body weights themselves NOR other variables | |
− | *A participant | + | **Missing mechanism is completely at random, i.e., completely free from both of missing (unobserved) values and observed values in body weight or in other variables |
− | ** | ||
− | **Missing mechanism is completely at random, i.e., completely free from | ||
|} | |} |
2023年12月10日 (日) 17:18時点における最新版
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Three mechanisms (assumptions) of data missing
Abbr. | Missing depends on/ Missing occurs because of |
[Example] A cohort study in which participants self report their body weight every week via special app installed on their smartphones. Demographic variables are also collected. | ||
---|---|---|---|---|
missing (unobserved) value itself | other observed variable(s) | |||
Missing not at random | MNAR | YES | — |
|
Missing at randam | MAR | NO | YES |
|
Missing completely at random | MCAR | NO | NO |
|