Interpreting Outcome Measures of Disease and Health in Cattle Research and Practice

Authors

  • P. A. Ospina Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14850
  • D. V. Nydam Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14850
  • T. J. DiCiccio Department of Social Science, Industrial and Labor Relations School, Cornell University, Ithaca, NY 14850

DOI:

https://doi.org/10.21423/aabppro20114025

Keywords:

β-hydroxybutyrate, BHBA, abomasum, risk ratio, data interpretation

Abstract

Evaluating the association between multiple predictor variables such as β-hydroxybutyrate (BHBA) and parity level on a dichotomous outcome such as a displaced abomasum or no displaced abomasum is common in dairy research and practice. The risk ratio (RR) can be estimated to evaluate the strength of the association, i.e., how likely the outcome is to happen based on the levels of the predictor variables. The purpose of this study is to outline an applied method for estimating the RR with PROC GENMOD using SAS software version 9.2. This estimate is preferred to the odds ratio (OR), which can sometimes overestimate the effect and can be difficult to interpret.

Cover image of the 44th Conference Proceedings: photo of the skyline of St. Louis, Missouri, site of the 2011 AABP Conference. Yellow background.

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Published

2011-09-22

Issue

2011

Section

Research Summaries 2

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