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Missing data methods for arbitrary missingness with small samples
Daniel McNeish
Research output
:
Contribution to journal
›
Article
›
peer-review
101
Scopus citations
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Dive into the research topics of 'Missing data methods for arbitrary missingness with small samples'. Together they form a unique fingerprint.
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Mathematics
Missing Data
80%
Small Sample
74%
Multiple Imputation
59%
Arbitrary
39%
Performance
36%
Context
19%
Longitudinal Study
19%
Deletion
15%
Specification
13%
Maximum Likelihood
13%
Regression Model
12%
Monotone
12%
Simulation Study
10%
Simulation
9%
Model
5%
Business & Economics
Missing Data
100%
Small Sample
75%
Multiple Imputation
72%
Data Analytics
19%
Performance
17%
Relative Performance
16%
Maximum Likelihood
15%
Longitudinal Study
15%
Simulation Study
14%
Regression Model
12%
Simulation
10%