Ad
related to: kaplan meier estimator wiki guide- Infant & Toddler
Build Safe Learning Spaces For Your
Littlest Learners. Shop Now!
- Preschool
Support Preschooler Learning At All
Stages. Toys, Furniture & Materials
- Infant & Toddler
Search results
Results From The WOW.Com Content Network
The Kaplan–Meier estimator, [1] [2] also known as the product limit estimator, is a non-parametric statistic used to estimate the survival function from lifetime data. In medical research, it is often used to measure the fraction of patients living for a certain amount of time after treatment.
Paul Meier (July 24, 1924 – August 7, 2011) [1] was a statistician who promoted the use of randomized trials in medicine. [2] [3]Meier is known for introducing, with Edward L. Kaplan, the Kaplan–Meier estimator, [4] [5] a method for measuring how many patients survive a medical treatment from one duration to another, taking into account that the sampled population changes over time.
Edward Lynn Kaplan (May 11, 1920 – September 26, 2006) [1] was a mathematician most famous for the Kaplan–Meier estimator, [2] developed together with Paul Meier. Biography [ edit ]
Kaplan–Meier estimator [ edit ] The Dvoretzky–Kiefer–Wolfowitz inequality is obtained for the Kaplan–Meier estimator which is a right-censored data analog of the empirical distribution function
Isambard Kingdom has proposed deletion of the section "Example calculation of Kaplan-Meier estimate" because it is long (and possibly tedious). I beleive that an example calculation is necessary for a comprehensive description of the Kaplan-Meier estimate.
Kaplan–Meier estimator; Meijer G-function This page was last edited on 29 December 2019, at 10:22 (UTC). Text is available under the Creative Commons ...
Retrieved from "https://en.wikipedia.org/w/index.php?title=Kaplan-Meier_curve&oldid=301564058"
Confidence bands can be constructed around estimates of the empirical distribution function.Simple theory allows the construction of point-wise confidence intervals, but it is also possible to construct a simultaneous confidence band for the cumulative distribution function as a whole by inverting the Kolmogorov-Smirnov test, or by using non-parametric likelihood methods.
Ad
related to: kaplan meier estimator wiki guide