Dear Users:
I am estimating a hazard model with data like the following wherein a person
(id)
can experience multiple "failures" but only when they are at risk. A person
does not become at risk immediately after experiencing a failure but only
after entering a particular state. The time a person becomes at risk is
indicated by the variable orig==1. The time of failure is given by fail==1.
I have used stset as follows
stset turns, failure(fail==1) exit(time .) id(id) origin(orig==1)
but this does not produce the appropriate dataset for analysis because
it assumes a person (id) becomes at risk at the first orig==1 and
then immediately after every failure. How can I create a dataset
that recognizes each time a person becomes at risk in a multiple risk
situation?
. list id turns sex crdnat tskid topic orig fail, separator(0)
+-------------------------------------------------------------+
| id time tskid tpc orig fail _st _d _origin _t _t0 |
|-------------------------------------------------------------|
1. | 1101 1 .3436329 1 0 0 0 . 27 . . |
2. | 1101 6 .3436329 1 0 1 0 . 27 . . |
3. | 1101 27 .3436329 1 1 2 0 . 27 . . |
4. | 1101 35 .3436329 1 0 1 1 1 27 8 0 |
5. | 1101 37 .3436329 1 1 2 1 0 27 10 8 |
6. | 1101 61 .3436329 2 0 1 1 1 27 34 10 |
7. | 1101 70 .3436329 2 1 2 1 0 27 43 34 |
8. | 1101 87 .3436329 2 0 1 1 1 27 60 43 |
9. | 1101 97 .3436329 2 1 2 1 0 27 70 60 |
10. | 1101 119 .3436329 3 0 1 1 1 27 92 70 |
...
33. | 1102 78 -1.340984 2 1 2 1 0 6 72 68 |
34. | 1102 86 -1.340984 2 0 1 1 1 6 80 72 |
35. | 1102 87 -1.340984 2 1 2 1 0 6 81 80 |
36. | 1102 97 -1.340984 2 0 1 1 1 6 91 81 |
37. | 1102 105 -1.340984 3 1 2 1 0 6 99 91 |
38. | 1102 117 -1.340984 3 0 1 1 1 6 111 99 |
39. | 1102 119 -1.340984 3 1 2 1 0 6 113 111 |
40. | 1102 147 -1.340984 3 0 1 1 1 6 141 113 |
41. | 1102 154 -1.340984 3 1 2 1 0 6 148 141 |
42. | 1102 160 -1.340984 4 0 1 1 1 6 154 148 |
43. | 1102 162 -1.340984 4 1 2 1 0 6 156 154 |
44. | 1102 170 -1.340984 4 0 1 1 1 6 164 156 |
Peter
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