Counting Process Models is a statistical framework within duration analysis that models the accumulation of events over time by treating event occurrences as a stochastic counting process, distinguished by its ability to handle recurrent events and time-dependent covariates within a continuous-time hazard structure.
278
Publications
26.5K
Citations
538
Authors
304
Institutions
Publications per year
2017–2026
34
Parents
Publications
278
Statistical Models Based on Counting Processes
Xavier Bry, Per Kragh Andersen, Ørnulf Borgan et al. · Population · 1997 · 2.9K citations
Nonparametric Inference for a Family of Counting Processes
Odd O. Aalen · The Annals of Statistics · 1978 · 1.5K citations
1–5 of 278
Authors
538
- RD
10
h-index
- PK
7
h-index
- ØB
7
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- NK
6
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- CW
5
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1–5 of 538
Institutions
304
University of California, Berkeley
Berkeley, United States
8 h-index
15 publications
601 citations
University of Copenhagen
Copenhagen, Denmark
7 h-index
9 publications
285 citations
Imperial College London
London, United Kingdom
5 h-index
6 publications
237 citations
Centre National de la Recherche Scientifique
Paris, France
5 h-index
8 publications
211 citations
University of Hong Kong
Pok Fu Lam, Hong Kong
5 h-index
11 publications
287 citations
University of Washington
Seattle, United States
4 h-index
4 publications
219 citations
Cornell University
Ithaca, United States
4 h-index
4 publications
72 citations
Inserm
Paris, France
4 h-index
18 publications
542 citations
1–8 of 304
Venues
- The Annals of Statistics
18 publications · 6.9K citations
15
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- Journal of Applied Probability
JAP · 17 publications · 974 citations
14
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- Biometrika
7 publications · 500 citations
7
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- Scandinavian Journal of Statistics
7 publications · 174 citations
7
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- Advances in Applied Probability
AAP · 7 publications · 951 citations
7
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1–5