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Survival function information


The survival function is a function that gives the probability that a patient, device, or other object of interest will survive past a certain time.[1] The survival function is also known as the survivor function[2] or reliability function.[3] The term reliability function is common in engineering while the term survival function is used in a broader range of applications, including human mortality. The survival function is the complementary cumulative distribution function of the lifetime. Sometimes complementary cumulative distribution functions are called survival functions in general.

  1. ^ Kleinbaum, David G.; Klein, Mitchel (2012), Survival analysis: A Self-learning text (Third ed.), Springer, ISBN 978-1441966452
  2. ^ Tableman, Mara; Kim, Jong Sung (2003), Survival Analysis Using S (First ed.), Chapman and Hall/CRC, ISBN 978-1584884088
  3. ^ Ebeling, Charles (2010), An Introduction to Reliability and Maintainability Engineering (Second ed.), Waveland Press, ISBN 978-1577666257

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Survival function

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}\operatorname {coth} (t^{\beta }))}{\beta }}} The Hypertabastic survival function is defined as S ( t ) = sech ⁡ [ α ( 1 − t β coth ⁡ ( t β ) ) β ]...

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regression models propose that Y i {\displaystyle Y_{i}} is a function (regression function) of X i {\displaystyle X_{i}} and β {\displaystyle \beta } ...

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product of other distributions. If a density is log-concave, so is its survival function. If a density is log-concave, it has a monotone hazard rate (MHR)...

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censored observations one needs the survival function, which is the complement of the cumulative distribution function, i.e. one needs to be able to evaluate...

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(mass) function directly, these methods introduce an implicit bias in the representation of the data, and thus should be avoided. The survival function, on...

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the relationship between two variables can be described by a monotonic function. The Kendall tau rank correlation coefficient is a measure of the portion...

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f(t)} is the probability density function and S ( t ) = 1 − F ( t ) {\displaystyle S(t)=1-F(t)} is the survival function, with F ( t ) {\displaystyle F(t)}...

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}f(u)\,du} is the complementary cumulative distribution function (also called survival function). The concept is named after John P. Mills. The Mills ratio...

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the survival function for Weibull distribution. For α = 1, it is same as the exponential distribution. Another famous example is when the survival model...

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Outline of statistics

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Outlier Statistical graphics Histogram Frequency distribution Quantile Survival function Failure rate Scatter plot Bar chart Design of experiments Optimal...

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accelerated (or decelerated). Survival models can be viewed as consisting of two parts: the underlying baseline hazard function, often denoted λ 0 ( t ) {\displaystyle...

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identifiable quantile functions based on reweighting each censored point appropriately. Censored quantile regression has close links to survival analysis. The...

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