Nonparametric Estimation from Incomplete Observations.

Kaplan, E. L., & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457-481.

Type

Journal article

Intellectual base

Primary research

Year

1958

DOI

10.1080/01621459.1958.10501452

Link

https://doi.org/10.1080/01621459.1958.10501452

Cited from

physics

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Dispersion
  • In epidemiology and demography, a birth cohort disperses in age-at-event because individual hazard rates differ — survival curves are dispersion curves over a cohort.

Domain-specific

• Kaplan–Meier estimator
  • Kaplan–Meier estimator is a nonparametric product-limit estimator of a survival function from observed event times in the presence of right-censoring.

Mechanisms

• Cohort or Vintage Analysis
  • The guarding discipline is to freeze cohort definitions in advance and to handle unequal follow-up with explicit right-censoring

    This sourceProvides a survival estimator for incomplete and unequal follow-up by incorporating right-censored observations.

Verification

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Registry ID ref:a33f37317785 · see in the full table