Introduction and Useful Properties Flashcards

1
Q

Give relationship between survival function and cdf

A

S(t) = 1 - F(t)

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2
Q

Give relationship between survival function and pdf

A

f(u) = - d/du S(u)

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3
Q

If a≥b, what is S(b) - S(a)

A

∫(b to a) f(u) du ≥ 0

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4
Q

What is Shatn(t)

A

(number of observations > t) / n

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5
Q

What is a hazard function and how is it found?

A

Hazard function is probability of event occurring in time (t, t + δt) given that is has not already happened

h(t) = f(t) / S(t)

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6
Q

How can S(t) be obtained from the hazard function?

A

exp( - ∫(0 to t) h(u) du )

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7
Q

What is the integrated hazard function

A

H(t) = ∫(0 to t) h(u) du

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8
Q

How are the survival function and integrated hazard function related?

A

S(t) = exp( - H(t) )

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9
Q

What is the expected survival time?

A

E(t) = ∫(0 to infinity) S(t) dt

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10
Q

What is the residual life expectancy?

A

r(t) = ∫(t to infinity) S(u) du / S(t)

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11
Q

How can mean life expectancy be found from residual life expectancy?

A

r(t) + t

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12
Q

What the empirical distribution function and what is it used for?

A

Fhat(t) = number of observations ≤ t / n

plotting against t gives indication whether reasonable to assume certain parent distribution

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13
Q

What is the risk set?

A

number of people known to be alive at time t

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14
Q

How do you find the estimated survival function?

A

mulitply each prob not dead for each time event, also known as the Kaplan-Meier estimate

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15
Q

How are the empirical distribution function and Kaplan-Meier estimate linked?

A

EDF complement of K-M

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16
Q

How can you estimate the integrated hazard function by the K-M estimate?

A

logarithm of K-M

17
Q

Give and explain notation for the actuarial estimate of the survival function

A

Shat(t) = product(ti ≤ t) [ 1 - [di / (ni - (ci/2)) ] ]

ci is censored data at time i
di is deaths at time i
ni is number at risk