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Published by MBA Skool Team, Last Updated: January 22, 2018

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

This article has been researched & authored by the Business Concepts Team. It has been reviewed & published by the MBA Skool Team. The content on MBA Skool has been created for educational & academic purpose only.

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