Marginal Mean Function
The Marginal Mean Function is a population-averaged stochastic process model that specifies the expected number of recurrent events experienced by an individual up to a given time, accounting for within-subject correlation without requiring full specification of the dependency structure.
40
Publications
4.9K
Citations
85
Authors
56
Institutions
Publications per year
2017–2026
6
Variants
Mean Cumulative Function
Parents
40
Nonparametric Analysis of Recurrent Events and Death
Debashis Ghosh, D. Y. Lin · Biometrics · 2000 · 275 citations
1–5 of 40
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University of North Carolina at Chapel Hill, United States
2 publications · 43 citations
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2
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2
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1–5 of 85
56
University of Michigan
Ann Arbor, United States
4 h-index
5 publications
332 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
5 publications
183 citations
University of Copenhagen
Copenhagen, Denmark
2 h-index
4 publications
70 citations
University of Missouri
Columbia, United States
2 h-index
3 publications
110 citations

Beijing Normal University
Beijing, China
2 h-index
2 publications
63 citations
University of Washington
Seattle, United States
2 h-index
4 publications
592 citations
Cardiff University
Cardiff, United Kingdom
2 h-index
2 publications
108 citations

Australian National University
Canberra, Australia
2 h-index
2 publications
108 citations
1–8 of 56
3 publications · 121 citations
3
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3 publications · 345 citations
3
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2 publications · 125 citations
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JSCS · 2 publications · 64 citations
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2 publications · 2.4K citations
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1–5