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  2. Kaplan–Meier estimator - Wikipedia

    en.wikipedia.org/wiki/KaplanMeier_estimator

    An example of a KaplanMeier plot for two conditions associated with patient survival. The KaplanMeier 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 ...

  3. Survival analysis - Wikipedia

    en.wikipedia.org/wiki/Survival_analysis

    KaplanMeier graph by treatment group in aml The null hypothesis for a log-rank test is that the groups have the same survival. The expected number of subjects surviving at each time point in each is adjusted for the number of subjects at risk in the groups at each event time.

  4. Talk:Kaplan–Meier estimator - Wikipedia

    en.wikipedia.org/wiki/Talk:KaplanMeier_estimator

    On the negative side, this definition is undefined for t < t(1). That is, the survivor rate is obviously 100% before any subject has died, but the product limit expression is always less than 100% (since N/(N+1) is always less than 1). Perhaps more importantly, this definition has no obvious generalization to the case with right censoring.

  5. Paul Meier (statistician) - Wikipedia

    en.wikipedia.org/wiki/Paul_Meier_(statistician)

    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 KaplanMeier 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.

  6. Nelson–Aalen estimator - Wikipedia

    en.wikipedia.org/wiki/Nelson–Aalen_estimator

    The Nelson–Aalen estimator is a non-parametric estimator of the cumulative hazard rate function in case of censored data or incomplete data. [1] It is used in survival theory, reliability engineering and life insurance to estimate the cumulative number of expected events. An "event" can be the failure of a non-repairable component, the death ...

  7. Kaiser–Meyer–Olkin test - Wikipedia

    en.wikipedia.org/wiki/Kaiser–Meyer–Olkin_test

    The Kaiser–Meyer–Olkin (KMO) test is a statistical measure to determine how suited data is for factor analysis.The test measures sampling adequacy for each variable in the model and the complete model.

  8. Story generator - Wikipedia

    en.wikipedia.org/wiki/Story_generator

    A story generator or plot generator is a tool that generates basic narratives or plot ideas. The generator could be in the form of a computer program, a chart with multiple columns, a book composed of panels that flip independently of one another, or a set of several adjacent reels that spin independently of one another, allowing a user to select elements of a narrative plot.

  9. Kaplan–Yorke conjecture - Wikipedia

    en.wikipedia.org/wiki/Kaplan–Yorke_conjecture

    Especially for chaotic systems, the Kaplan–Yorke conjecture is a useful tool in order to estimate the fractal dimension and the Hausdorff dimension of the corresponding attractor. [ 4 ] [ 3 ] The Hénon map with parameters a = 1.4 and b = 0.3 has the ordered Lyapunov exponents λ 1 = 0.603 {\displaystyle \lambda _{1}=0.603} and λ 2 = − 2. ...

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