Abstract
In order to determine which variables are useful and accurate in estimating prognosis in horses with abdominal pain, data were analyzed from 231 horses presented at a veterinary teaching hospital. Using multiple stepwise discriminant analysis in a recursive partition model, we obtained a decision protocol that identified survivors and nonsurvivors. The prevalence of survivors was 61% in this population. The sensitivity, specificity, and positive and negative predictive values of this model were 71, 83, 87 and 65%, respectively. This decision protocol was validated by Jackknife classification and also by evaluation with a referral population of 100 horses in which the prevalence of survivors was 83%. This led to sensitivity, specificity, and positive and negative predictive values of 83, 78, 94 and 50%, respectively.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 373-378 |
| Number of pages | 6 |
| Journal | Canadian journal of veterinary research = Revue canadienne de recherche veterinaire |
| Volume | 54 |
| Issue number | 3 |
| State | Published - Jun 1990 |
| Externally published | Yes |
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ASJC Scopus subject areas
- veterinary(all)
Cite this
A computer-derived protocol using recursive partitioning to aid in estimating prognosis of horses with abdominal pain in referral hospitals. / Pascoe, Peter J; Ducharme, N. G.; Ducharme, G. R.; Lumsden, J. H.
In: Canadian journal of veterinary research = Revue canadienne de recherche veterinaire, Vol. 54, No. 3, 06.1990, p. 373-378.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A computer-derived protocol using recursive partitioning to aid in estimating prognosis of horses with abdominal pain in referral hospitals.
AU - Pascoe, Peter J
AU - Ducharme, N. G.
AU - Ducharme, G. R.
AU - Lumsden, J. H.
PY - 1990/6
Y1 - 1990/6
N2 - In order to determine which variables are useful and accurate in estimating prognosis in horses with abdominal pain, data were analyzed from 231 horses presented at a veterinary teaching hospital. Using multiple stepwise discriminant analysis in a recursive partition model, we obtained a decision protocol that identified survivors and nonsurvivors. The prevalence of survivors was 61% in this population. The sensitivity, specificity, and positive and negative predictive values of this model were 71, 83, 87 and 65%, respectively. This decision protocol was validated by Jackknife classification and also by evaluation with a referral population of 100 horses in which the prevalence of survivors was 83%. This led to sensitivity, specificity, and positive and negative predictive values of 83, 78, 94 and 50%, respectively.
AB - In order to determine which variables are useful and accurate in estimating prognosis in horses with abdominal pain, data were analyzed from 231 horses presented at a veterinary teaching hospital. Using multiple stepwise discriminant analysis in a recursive partition model, we obtained a decision protocol that identified survivors and nonsurvivors. The prevalence of survivors was 61% in this population. The sensitivity, specificity, and positive and negative predictive values of this model were 71, 83, 87 and 65%, respectively. This decision protocol was validated by Jackknife classification and also by evaluation with a referral population of 100 horses in which the prevalence of survivors was 83%. This led to sensitivity, specificity, and positive and negative predictive values of 83, 78, 94 and 50%, respectively.
UR - http://www.scopus.com/inward/record.url?scp=0025437648&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0025437648&partnerID=8YFLogxK
M3 - Article
VL - 54
SP - 373
EP - 378
JO - Canadian Journal of Veterinary Research
JF - Canadian Journal of Veterinary Research
SN - 0830-9000
IS - 3
ER -