Hazard Function

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Definition: Hazard Function

Survival analysis deals with that branch of statistics which analyses the time of occurrence of certain events – such as failure in a machine, death of a person etc. The hazard function is the ratio of density function and survival function.

HT(t)= fT(t)/ST(t)

where T is the survival model of a system being studied

T is taken as a continuous random variable

Discrete time hazard function is the conditional probability that individual i will experience the target event in Time period (Ti =j) where the individual has not experienced the event so far.

Since it is a probability in discrete time , the value of hazard function lies between 0 and 1.

Example:

Suppose a doctor A is informed that his patient will arrive between 9am and 2 pm for the surgery. Suppose patient B arrives X minutes past 9, then X is distributed between (0,300)

The probability density function is given

P(X) = 0

Otherwise 1 given 0<t<300

The survival function is given by

F-t=P(X) =1 if t<0

300-t if 0<t<=300

1 if t>300

So the hazard function can be defined as ratio of density and survival function for any time t.

At 9 am, hazard function= 0.003

Hence, this concludes the definition of Hazard Function along with its overview.

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