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ST 520 Statistical Principles of Clinical Trials - NCSU Statistics ...

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CHAPTER 9 <strong>ST</strong> <strong>520</strong>, A. TSIATIS and D. Zhang<br />

Figure 9.1: A typical mortality pattern for human<br />

m(t)<br />

0 20 40 60 80 100<br />

age (years)<br />

In a human population, the mortality rate has a pattern like<br />

The hazard rate λ(t) is the limit <strong>of</strong> the mortality rate or the instantaneous rate <strong>of</strong> failure at time<br />

t given the individual is alive at time t. That is,<br />

This can be expressed as<br />

� �<br />

P(t ≤ T < t + h|T ≥ t)<br />

λ(t) = lim<br />

.<br />

h→0 h<br />

λ(t) = lim<br />

h→0<br />

= −dS(t)<br />

dt<br />

S(t)<br />

� �<br />

P(t ≤ T < t + h)/h<br />

P(T ≥ t)<br />

−d log{S(t)}<br />

= .<br />

dt<br />

Integrating both sides <strong>of</strong> the equation above, we get<br />

� t<br />

− log{S(t)} = λ(u)du = Λ(t),<br />

0<br />

= f(t)<br />

S(t)<br />

where Λ(t) is defined as the cumulative hazard function. Consequently,<br />

� � t �<br />

S(t) = exp − λ(u)du<br />

0<br />

= exp {−Λ(t)}.<br />

Note: Although the mortality rate is a probability, the hazard rate is NOT a probability; thus<br />

it can take on any positive value unlike a mortality rate which must be bounded by 1.<br />

PAGE 133

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