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  2. Gompertz–Makeham law of mortality - Wikipedia

    en.wikipedia.org/wiki/Gompertz–Makeham_law_of...

    At more advanced ages, some studies have found that death rates increase more slowly – a phenomenon known as the late-life mortality deceleration [2] – but more recent studies disagree. [4] Estimated probability of a person dying at each age, for the U.S. in 2003 . Mortality rates increase exponentially with age after age 30.

  3. Beta distribution - Wikipedia

    en.wikipedia.org/wiki/Beta_distribution

    In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1) in terms of two positive parameters, denoted by alpha (α) and beta (β), that appear as exponents of the variable and its complement to 1, respectively, and control the shape of the distribution.

  4. Force of mortality - Wikipedia

    en.wikipedia.org/wiki/Force_of_mortality

    Thus the force of mortality at these ages is zero. The force of mortality μ(x) uniquely defines a probability density function f X (x). The force of mortality () can be interpreted as the conditional density of failure at age x, while f(x) is the unconditional density of failure at age x. [1]

  5. Gompertz distribution - Wikipedia

    en.wikipedia.org/wiki/Gompertz_distribution

    The Gompertz distribution is a flexible distribution that can be skewed to the right and to the left. Its hazard function = is a convex function of (;,).The model can be fitted into the innovation-imitation paradigm with = as the coefficient of innovation and as the coefficient of imitation.

  6. Generalized beta distribution - Wikipedia

    en.wikipedia.org/wiki/Generalized_Beta_distribution

    Taking a specific example, if s denotes the length of life, then h(s) is the rate of death at age s, given that an individual has lived up to age s. The shape of the hazard function for human mortality data might appear as follows: decreasing mortality in the first few months of life, then a period of relatively constant mortality and finally ...

  7. Survival analysis - Wikipedia

    en.wikipedia.org/wiki/Survival_analysis

    This example of a survival tree analysis uses the R package "rpart". [8] The example is based on 146 stage C prostate cancer patients in the data set stagec in rpart. Rpart and the stagec example are described in Atkinson and Therneau (1997), [9] which is also distributed as a vignette of the rpart package. [8] The variables in stages are:

  8. AI death calculator can predict when you'll die... with eerie ...

    www.aol.com/ai-death-calculator-predict-youll...

    An AI death calculator can now tell you when you’ll die — and it’s eerily accurate. ... Aspects of someone’s life were given a code; for example, S52 indicates a forearm break, 072 ...

  9. Mortality rate - Wikipedia

    en.wikipedia.org/wiki/Mortality_rate

    The crude death rate is defined as "the mortality rate from all causes of death for a population," calculated as the "total number of deaths during a given time interval" divided by the "mid-interval population", per 1,000 or 100,000; for instance, the population of the United States was around 290,810,000 in 2003, and in that year, approximately 2,419,900 deaths occurred in total, giving a ...