Interval-censored Data Simulation
Interval-Censored Data Simulation is a computational methodology in survival analysis that generates synthetic datasets where event times are only known to lie within specific time intervals, thereby enabling the evaluation and validation of statistical models under interval censoring conditions.
95
Publications
4.4K
Citations
203
Authors
135
Institutions
Publications per year
2017–2026
15
Parents
95
Simulation of truncated normal variables
Statistics and Computing · 1995 · 348 citations · Full text
Estimating incubation period distributions with coarse data
Nicholas G Reich, Justin Lessler, Derek A. T. Cummings et al. · Statistics in Medicine · 2009 · 166 citations
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203
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Centers for Disease Control and Prevention, United States
3 publications · 103 citations
3
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3
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135
University of Missouri
Columbia, United States
11 h-index
17 publications
595 citations
Harvard University
Cambridge, United States
8 h-index
10 publications
405 citations

Tamkang University
Taipei, Taiwan
7 h-index
10 publications
260 citations

University of Waterloo
Waterloo, Canada
5 h-index
7 publications
202 citations

University of Minnesota
Minneapolis, United States
4 h-index
4 publications
232 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
3 publications
117 citations
Inserm
Paris, France
3 h-index
8 publications
447 citations

McMaster University
Hamilton, Canada
3 h-index
3 publications
144 citations
1–8 of 135
19 publications · 787 citations
17
h-index
7 publications · 276 citations
7
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JSCS · 6 publications · 217 citations
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JCGS · 5 publications · 229 citations
5
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3 publications · 92 citations
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