The Empirical Survival Function is a non-parametric estimator of the survival function that assigns to each time point the proportion of subjects surviving beyond that time, derived directly from observed survival data without assuming an underlying parametric distribution.
81
Publications
4.2K
Citations
196
Authors
107
Institutions
Publications per year
2017–2026
22
Variants
Product-limit Estimator
Parents
Publications
81
Maurice C. Bryson, M. M. Siddiqui · Journal of the American Statistical Association · 1969 · 358 citations
Public Health, Biostatistics, Aging +16
1–5 of 81
Authors
196
- FJ
4
h-index
- HD
2
h-index
- EK
2
h-index
- MC
2
h-index
- RD
2
h-index
1–5 of 196
Institutions
107
Florida State University
Tallahassee, United States
4 h-index
5 publications
214 citations
University of Washington
Seattle, United States
3 h-index
3 publications
254 citations
University of Florida
Gainesville, United States
3 h-index
6 publications
363 citations
University of California, Davis
Davis, United States
3 h-index
5 publications
80 citations
Max Planck Institute for Demographic Research
Rostock, Germany
2 h-index
2 publications
47 citations
IZA - Institute of Labor Economics
Bonn, Germany
2 h-index
2 publications
61 citations
University of Padua
Padua, Italy
2 h-index
2 publications
28 citations
Corvinus University of Budapest
Budapest, Hungary
2 h-index
2 publications
41 citations
1–8 of 107
Venues
- Journal of the American Statistical Association
10 publications · 1K citations
10
h-index
- The Annals of Statistics
4 publications · 101 citations
4
h-index
- RePEc: Research Papers in Economics
Repository · 2 publications · 46 citations
2
h-index
- SSRN Electronic Journal
Repository · 2 publications · 61 citations
2
h-index
- Scandinavian Journal of Statistics
2 publications · 121 citations
2
h-index
1–5