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.
^Kleinbaum, David G.; Klein, Mitchel (2012), Survival analysis: A Self-learning text (Third ed.), Springer, ISBN 978-1441966452
^Tableman, Mara; Kim, Jong Sung (2003), Survival Analysis Using S (First ed.), Chapman and Hall/CRC, ISBN 978-1584884088
^Ebeling, Charles (2010), An Introduction to Reliability and Maintainability Engineering (Second ed.), Waveland Press, ISBN 978-1577666257
The survivalfunction is a function that gives the probability that a patient, device, or other object of interest will survive past a certain time. The...
Survival analysis is used in several ways: To describe the survival times of members of a group Life tables Kaplan–Meier curves Survivalfunction Hazard...
empirical distribution function (commonly also called an empirical cumulative distribution function, eCDF) is the distribution function associated with the...
or fold in order to save weight and bulk as part of a larger survival kit. Their functions often include serving as a hunting knife. Features, such as...
{P} (T>t)=1-F_{T}(t).} In survival analysis, F ¯ X ( x ) {\displaystyle {\bar {F}}_{X}(x)} is called the survivalfunction and denoted S ( x ) {\displaystyle...
optimization and decision theory, a loss function or cost function (sometimes also called an error function) is a function that maps an event or values of one...
likelihood function (often simply called the likelihood) is the joint probability mass (or probability density) of observed data viewed as a function of the...
regression models propose that Y i {\displaystyle Y_{i}} is a function (regression function) of X i {\displaystyle X_{i}} and β {\displaystyle \beta } ...
product of other distributions. If a density is log-concave, so is its survivalfunction. If a density is log-concave, it has a monotone hazard rate (MHR)...
censored observations one needs the survivalfunction, which is the complement of the cumulative distribution function, i.e. one needs to be able to evaluate...
(mass) function directly, these methods introduce an implicit bias in the representation of the data, and thus should be avoided. The survivalfunction, on...
In time series analysis, the partial autocorrelation function (PACF) gives the partial correlation of a stationary time series with its own lagged values...
calculated by integrating the probability density function (which yields the cumulative distribution function—any other means of calculating the CDF will also...
the relationship between two variables can be described by a monotonic function. The Kendall tau rank correlation coefficient is a measure of the portion...
f(t)} is the probability density function and S ( t ) = 1 − F ( t ) {\displaystyle S(t)=1-F(t)} is the survivalfunction, with F ( t ) {\displaystyle F(t)}...
}f(u)\,du} is the complementary cumulative distribution function (also called survivalfunction). The concept is named after John P. Mills. The Mills ratio...
the survivalfunction for Weibull distribution. For α = 1, it is same as the exponential distribution. Another famous example is when the survival model...
discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization of Fisher's linear discriminant, a method...
Outlier Statistical graphics Histogram Frequency distribution Quantile Survivalfunction Failure rate Scatter plot Bar chart Design of experiments Optimal...
random variable and P ( x ) {\displaystyle P(x)} is the probability mass function. For a continuous distribution, the mean is ∫ − ∞ ∞ x f ( x ) d x {\displaystyle...
accelerated (or decelerated). Survival models can be viewed as consisting of two parts: the underlying baseline hazard function, often denoted λ 0 ( t ) {\displaystyle...
identifiable quantile functions based on reweighting each censored point appropriately. Censored quantile regression has close links to survival analysis. The...
Survivalism is a social movement of individuals or groups (called survivalists, doomsday preppers or preppers) who proactively prepare for emergencies...
wilderness to avoid dehydration and to keep the body functioning properly. The U.S. Army survival manual does not recommend drinking water only when thirsty...