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.
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.
Supported in partVerified against the publisher's abstract
Gives the product-limit estimator for a cohort followed from a common initial event, but says nothing about individual hazard rates differing as the reason a cohort spreads out in age-at-event.
“Despite the resulting incompleteness of the data, it is desired to estimate the proportion P(t) of items in the population whose lifetimes would exceed t (in the absence of such losses), without making any assumption about the form of the function P(t).”
- 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¶
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.
- The guarding discipline is to freeze cohort definitions in advance and to handle unequal follow-up with explicit right-censoring
Verification¶
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Registry ID ref:a33f37317785 · see in the full table