Abstract
We explore the standard life table (actuarial) estimator for grouped right-censored survival data and its extensions in order to consider its relationship with the Kaplan–Meier estimator, and to investigate the critical properties of the extended life table estimators (ELTEs). We discuss certain conditions for the ELTE to be consistent and develop a characterization of the standard life table estimator using the consistency property under any choice of at least two observation times of a finite interval. We also perform a comparative analysis of the ELTEs with the corresponding maximum likelihood estimators for grouped right-censored survival data.
| Original language | American English |
|---|---|
| Pages (from-to) | 2126-2133 |
| Number of pages | 8 |
| Journal | Communications in Statistics - Theory and Methods |
| Volume | 47 |
| Issue number | 9 |
| DOIs | |
| State | Published - May 3 2018 |
Bibliographical note
Publisher Copyright:© 2018 Taylor & Francis Group, LLC.
Funding
This research was supported in part by St.-Petersburg State University (grants No 1.37.165.2014 and No 1.52.1647.2016) and Russian Ministry of Education and Science Mega-grant No 11.G34.31.0068 (Dr. Stephen J. O’Brien, Principal Investigator).
| Funders | Funder number |
|---|---|
| Saint Petersburg State University | 1.37.165.2014, 1.52.1647.2016 |
ASJC Scopus Subject Areas
- Statistics and Probability
Keywords
- Independent censoring
- Kaplan–Meier estimator
- Life table estimator
- Right censoring
- Survival data
Disciplines
- Genetics and Genomics
- Life Sciences
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