Dear SAS Communities,
I need to model a binary outcome (event = 1, nonevent = 0) depends on time. (please see the attached picture)
I would greatly appreciate guidance on which proceedures are applicable. The PROCs I tried thus far appear to model continuous outcomes.
Thank you!
Dan
What procedures have you tried? PROC LOGISTIC sounds like a place to start. Se documentation here
https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#logistic_toc.htm
Are you looking at "time to event" type data? Such as time until failure of a part or how long the rat lives after exposure to your favorite carcinogen. Then you might want to look at survival analyis procedures such as Phreg, Lifereg, Lifetest or Probit
I am woundring how to model such data
| Date | Rainfall amount (millimetres) | rain |
| 1/1/00 | 0.4 | 1 |
| 1/2/00 | 0 | 0 |
| 1/3/00 | 0 | 0 |
| 1/4/00 | 3.4 | 1 |
| 1/5/00 | 1.4 | 1 |
| 1/6/00 | 0 | 0 |
| 1/7/00 | 0 | 0 |
| 1/8/00 | 0 | 0 |
| 1/9/00 | 0 | 0 |
| 1/10/00 | 2.2 | 1 |
| 1/11/00 | 0 | 0 |
| 1/12/00 | 0 | 0 |
| 1/13/00 | 0 | 0 |
| 1/14/00 | 0 | 0 |
| 1/15/00 | 0 | 0 |
| 1/16/00 | 0.4 | 1 |
| 1/17/00 | 0.8 | 1 |
| 1/18/00 | 0 | 0 |
| 1/19/00 | 0 | 0 |
| 1/20/00 | 0 | 0 |
The rain column is the binary outcome (dependent variable).
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