Exact(4)
This paper develops the theory of nonparametric regression for the classical case of responses missing at random.
A survey of randomized controlled trials found that almost a quarter of trials had more than 10% of responses missing for the primary outcome.
Of these, we included 19 useable surveys in the analysis (excluding one survey with over 70% of responses missing), with 13 from Big Ten universities and 6 from Ivy-League universities.
Of the 237 patients, four were excluded because of incomplete LUNSERS data (at least 20% of responses missing).
Similar(56)
The proportion of GDS responses missing differs greatly by level of cognitive functioning.
Item-level missing data were low for the baseline period, with 15.1% (197/1302) of item responses missing; however, this increased to 33.6% (219/651) by week 12 of the treatment period.
We removed any cases with >10% of item responses missing.
To ensure data quality, the validation analysis was not performed on records with more than 25% of the responses missing.
When looking at individual items, there were no items with more than 5%% of total responses missing in the follow up data among those with recorded follow up.
When looking at individual items, there were no items with more than 5%% of total responses missing in the baseline data.
In no cases were more than 10% of the responses missing [ 21] but when that occurred, median substitution was performed by replacing missing data with the median value within the components of SOC (i.e. Comprehensibility, Manageability and Meaningfulness).
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