followed for 24 months from date of diagnosis. Results are shown below for individuals who were censored to follow up or who died. The outcome of interest is death. Time (Months) Event 2 Death 4 Censored 5 Censored 8 Death 10 Censored 12 Death 15 Death 17 Death 20 Censored 23 Death Using the data from the table shown above, calculate for all deaths, i) the probability of death at the exact time it occurred; ii) the probability of survival beyond the time each death occurred; iii) cumulative probability of survival. It is easiest to show this in a Table.
followed for 24 months from date of diagnosis. Results are shown below for individuals who were censored to follow up or who died. The outcome of interest is death. Time (Months) Event 2 Death 4 Censored 5 Censored 8 Death 10 Censored 12 Death 15 Death 17 Death 20 Censored 23 Death Using the data from the table shown above, calculate for all deaths, i) the probability of death at the exact time it occurred; ii) the probability of survival beyond the time each death occurred; iii) cumulative probability of survival. It is easiest to show this in a Table.
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 4ECP: Show that the probability of drawing a club at random from a standard deck of 52 playing cards is...
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- followed for 24 months from date of diagnosis. Results are shown below for individuals who were censored to follow up or who died. The outcome of interest is death.
Time (Months) |
Event |
2 |
Death |
4 |
Censored |
5 |
Censored |
8 |
Death |
10 |
Censored |
12 |
Death |
15 |
Death |
17 |
Death |
20 |
Censored |
23 |
Death |
Using the data from the table shown above, calculate for all deaths, i) the probability of death at the exact time it occurred; ii) the probability of survival beyond the time each death occurred; iii) cumulative probability of survival. It is easiest to show this in a Table.
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