Hi,
I've got a dataset with multiple records per animal, multiple events per
record.
Here it is:
list
+----------------------------------------------------------+
| id xmast mast censor dim dimm1 dimm2 dimm3 |
|----------------------------------------------------------|
1. | 1 0 0 0 280 0 0
0 |
2. | 1 3 1 0 300 150 170
250 |
3. | 1 1 1 1 290 200 0
0 |
4. | 2 1 1 0 450 100 0
0 |
5. | 4 1 1 0 300 135 0
0 |
|----------------------------------------------------------|
6. | 4 2 1 0 210 200 208 0
|
7. | 5 3 1 0 350 31 50
200 |
8. | 5 2 1 0 324 280 300 0
|
9. | 5 0 0 1 299 0 0
0 |
+----------------------------------------------------------+
I need to examine the data with "xmast" as a time-dependent covariate since
the hazard of culling should logically alter with every additional episode
of mastitis in cows.
"dim" is the total number of days the cow is present in the milking herd.
"dimm1" is the day when the first disease event occurs, "dimm2" is the when
the second episode happens etc. Total episodes are defined by "xmast".
I can't specify to Stata when to split the data because these are biological
data. Further, I already KNOW when each event occurs. But how do I put it
all together, hopefully, using -stsplit- to split the records where
"xmast>1" and the corresponding dimm1/2 or 3 will be recorded?
Help is very appreciated!!
Lucy
Lucy Shum
Bovine Resident
University of Sydney
University Veterinary Centre Camden
Tel: +61-2-46550777
Fax: +61-2-46551212
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