State Occupancy Probability Estimation
State Occupancy Probability Estimation is a nonparametric survival method that quantifies the probability of an individual occupying a specific state within a multi-state process at a given time point, accounting for censoring and time-varying transitions without assuming a parametric distribution for event times.
19
Publications
756
Citations
86
Authors
41
Institutions
Publications per year
2017–2026
7
19
Floris M. van Beest, Sina Mews, Svenja Elkenkamp et al. · Scientific Reports · 2019 · 77 citations · Full text
Caitlin Smare, Khalid Lakhdari, Justin Doan et al. · PharmacoEconomics · 2019 · 58 citations · Full text
Pharmacy, Biostatistics, Oncology +17
1–5 of 19
86
Universidade Federal do Rio Grande do Norte, Brazil
2 publications · 50 citations
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2
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2
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1
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1
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1–5 of 86
41

University of Louisville
Louisville, United States
2 h-index
4 publications
52 citations
United States Geological Survey
Reston, United States
2 h-index
5 publications
187 citations
Universidade Federal do Rio Grande do Norte
Natal, Brazil
2 h-index
3 publications
62 citations
Technische Universität Braunschweig
Braunschweig, Germany
1 h-index
3 publications
42 citations
University of Arizona
Tucson, United States
1 h-index
1 publications
11 citations
Mercedes-Benz Research and Development North America (United States)
Seattle, United States
1 h-index
2 publications
130 citations
University of Kentucky
Lexington, United States
1 h-index
5 publications
335 citations
Weyerhaeuser (United States)
Federal Way, United States
1 h-index
5 publications
55 citations
1–8 of 41
1 publications · 67 citations
1
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1 publications · 16 citations
1
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1 publications · 11 citations
1
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Conference · 1 publications · 11 citations
1
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1 publications · 10 citations
1
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1–5