#multipleimputation — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #multipleimputation, aggregated by home.social.
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A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor I am still working more on the problem that most studies do not even report their sampling and take it for granted that complete-data only analyses are fine.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor I am still working more on the problem that most studies do not even report their sampling and take it for granted that complete-data only analyses are fine.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor I am still working more on the problem that most studies do not even report their sampling and take it for granted that complete-data only analyses are fine.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor I am still working more on the problem that most studies do not even report their sampling and take it for granted that complete-data only analyses are fine.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor I am still working more on the problem that most studies do not even report their sampling and take it for granted that complete-data only analyses are fine.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
Just used #multipleimputation in #SPSS for the first time (used Stata and R before). It's not bad (I'd give it a B) and the reporting pooled estimates works well. That said (1) I had a terrible time imputing categorical variables and (2) skip patterns don't work well because I can't specify constraints to only impute certain variables for given values of another variable.
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Just used #multipleimputation in #SPSS for the first time (used Stata and R before). It's not bad (I'd give it a B) and the reporting pooled estimates works well. That said (1) I had a terrible time imputing categorical variables and (2) skip patterns don't work well because I can't specify constraints to only impute certain variables for given values of another variable.
-
Just used #multipleimputation in #SPSS for the first time (used Stata and R before). It's not bad (I'd give it a B) and the reporting pooled estimates works well. That said (1) I had a terrible time imputing categorical variables and (2) skip patterns don't work well because I can't specify constraints to only impute certain variables for given values of another variable.
-
Just used #multipleimputation in #SPSS for the first time (used Stata and R before). It's not bad (I'd give it a B) and the reporting pooled estimates works well. That said (1) I had a terrible time imputing categorical variables and (2) skip patterns don't work well because I can't specify constraints to only impute certain variables for given values of another variable.
-
Just used #multipleimputation in #SPSS for the first time (used Stata and R before). It's not bad (I'd give it a B) and the reporting pooled estimates works well. That said (1) I had a terrible time imputing categorical variables and (2) skip patterns don't work well because I can't specify constraints to only impute certain variables for given values of another variable.