Literature DB >> 26210763

Using Feedlot Operational Data to Make Valid Conclusions for Improving Health Management.

Miles E Theurer1, David G Renter2, Brad J White3.   

Abstract

Feedlot operational data can be useful for monitoring cattle health and performance outcomes and evaluating associations between these outcomes and potentially important cattle population or management factors. Operational data are inherently relevant to clients; however, there are potential limitations that need to be considered to make appropriate conclusions. Assessing data quality, potential for bias, data distributions, and multiple health outcomes can provide a more thorough understanding of feedlot cattle health and factors that may affect health management systems. Accurate and useful information is derived only when the advantages and limitations of the data and the analysis process are fully understood.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Data; Distribution; Epidemiology; Feedlot

Mesh:

Year:  2015        PMID: 26210763     DOI: 10.1016/j.cvfa.2015.05.004

Source DB:  PubMed          Journal:  Vet Clin North Am Food Anim Pract        ISSN: 0749-0720            Impact factor:   3.357


  2 in total

1.  BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Data to decisions.

Authors:  B J White; D E Amrine; R L Larson
Journal:  J Anim Sci       Date:  2018-04-14       Impact factor: 3.159

2.  Retrospective analysis of cohort risk factors and feeding phase timing associated with noninfectious heart disease deaths in U.S. feedlot cattle.

Authors:  Blaine T Johnson; David E Amrine; Robert L Larson; Robert L Weaber; Brad J White
Journal:  Transl Anim Sci       Date:  2021-11-24
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.