Question: Question 1 (30 points) Develop and interpret a life table, given data. One thousand two hundred and five (1,205) persons, who were accidentally exposed to
Question 1 (30 points)
Develop and interpret a life table, given data.
One thousand two hundred and five (1,205) persons, who were accidentally exposed to a large-dose gamma-radiation leak on December 1, 2019, were followed for a year and their mortality experience was recorded monthly (as at month-end). Some were lost to follow-up during this time period and the whereabouts and outcome of these persons is unknown. The table below lists the monthly-recorded deaths and "withdrawals".
| Month (measured at the end of month) | Deaths | Withdrawals (Lost to Follow-up) |
| December, 2019 | 10 | 5 |
| January, 2020 | 15 | 7 |
| February, 2020 | 23 | 11 |
| March, 2020 | 27 | 22 |
| April, 2020 | 35 | 4 |
| May, 2020 | 42 | 6 |
| June, 2020 | 21 | 18 |
| July, 2020 | 24 | 3 |
| August, 2020 | 22 | 6 |
| September, 2020 | 10 | 3 |
| October, 2020 | 7 | 15 |
| November, 2020 | 2 | 7 |
Please tabulate the data in an appropriate format (a life table) and answer the following questions based on your calculations:
- Create a life table (see table 6.9 on page 133 of Gordis for a good example)(10 points)
- What was the probability of dying during the month of August, 2020?(4 points)
- What was the probability of surviving until the end of October, 2020?(4 points)
- Which month exhibited the highest levels of survival (probability of surviving the month)?(4 points)
- Please draw a survival curve for these data (using the cumulative survival for each month).(4 points)
- The management of the military installation where this leak occurred think that it is too expensive to keep following these people; the risk of death has become predictable, if not downright low. Do you agree?If so, why? If not, how might you convince them to keep funding the study?(4 points)
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