CK030 - Survival Functions Flashcards

1
Q

What does the ‘survival function’ denote?

A

The probability of being alive up to time t

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2
Q

How is the ‘survival function’ denoted?

A

S(t)

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3
Q

What does the ‘CDF’ denote?

A

The probability of dying until time t

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4
Q

How is the ‘CDF’ denoted?

A

F(t)

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5
Q

What does the ‘PDF’ denote?

A

The probability of dying in a specific time interval

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6
Q

How is the ‘PDF’ denoted?

A

f(t)

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7
Q

How are the ‘CDF’ and ‘PDF’ linked?

A
  • PDF is the derivative of CDF
  • CDF is the integral of PDF
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8
Q

What does the ‘hazard function’ denote?

A

The instantaneous risk of an event at time t, GIVEN the event did not occur before time t

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9
Q

How is the ‘hazard function’ denoted?

A

h(t)

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10
Q

What does the ‘cumulative hazard function’ denote?

A

The cumulative risk up to time t (so the expected number of events that have occured by time t)

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11
Q

How is the ‘cumulative hazard function’ denoted?

A

H(t)

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12
Q

What is the ‘median survival’ ?

A

The time by which half of the subjects will experience the event

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13
Q

What is the ‘mean/average survival’ ?

A

The expected failure time

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14
Q

What is the ‘Kaplan-Meier estimator’ ?

A

A non-parametric statistical method used to estimate the survival function from time-to-event data (so censored data!)

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15
Q

What is the ‘Breslow estimator’ ?

A

Similar to the ‘Kaplan-Meier estimator’, but calculated from the H(t) instead of the S(t)

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16
Q

What test to use for comparing 2 ‘Kaplan-Meier curves’ ?

A

Log-rank test

17
Q

What hypothesis does the ‘log-rank test’ test?

A

H0: Distribution of survival times is the same for the 2 groups

18
Q

What could bias the ‘log-rank test’ ?

A
  • Informative censoring
  • Violation of proportional hazard
19
Q

What alternative test is there to compare ‘Kaplan-Meier curves’ when the hazard functions are NOT proportional?

A

Gehan-Wilcoxon test