Longitudinal Missing Data
Longitudinal Missing Data is a type of missing data pattern that occurs in longitudinal studies where repeated measurements over time are partially unobserved, distinguished by its temporal structure and potential dependence of missingness on past or future observed and unobserved variables.
614
Publications
38.2K
Citations
1.5K
Authors
733
Institutions
Publications per year
2017–2026
125
614
1–5 of 614
1.5K
24
h-index
London School of Hygiene & Tropical Medicine, United Kingdom
13 publications · 1.2K citations
13
h-index
13
h-index
12
h-index
10
h-index
1–5 of 1.5K
733
Harvard University
Cambridge, United States
21 h-index
45 publications
3.1K citations
University of Michigan
Ann Arbor, United States
17 h-index
39 publications
1.5K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
15 h-index
28 publications
1.8K citations

Hasselt University
Hasselt, Belgium
14 h-index
38 publications
2K citations
KU Leuven
Leuven, Belgium
14 h-index
26 publications
938 citations

Pennsylvania State University
State College, United States
13 h-index
24 publications
2.6K citations
Inserm
Paris, France
13 h-index
29 publications
1.5K citations
University of Washington
Seattle, United States
12 h-index
29 publications
1.5K citations
1–8 of 733
82 publications · 4.7K citations
36
h-index
45 publications · 2.9K citations
30
h-index
19 publications · 1.2K citations
17
h-index
16 publications · 1.4K citations
15
h-index
14 publications · 808 citations
13
h-index
1–5