Søren Østergaard

Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation

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Multiple regression and model building with mediator variables was addressed to avoid double counting when economic values are estimated from data simulated with herd simulation modeling (using the SimHerd model). The simulated incidence of metritis was analyzed statistically as the independent variable, while using the traits representing the direct effects of metritis on yield, fertility and occurrence of other diseases as mediator variables. The economic value of metritis was estimated to be €78 per 100 cow-years for each 1% increase of metritis in the period of 1-100 days in milk in multiparous cows. The merit of using this approach was demonstrated since the economic value of metritis was estimated to be 81% higher when no mediator variables were included in the multiple regression analysis
OriginalsprogEngelsk
Udgivelsesår17 aug. 2014
Antal sider3
StatusUdgivet - 17 aug. 2014
Begivenhed10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada
Varighed: 17 aug. 201422 aug. 2014
Konferencens nummer: 10th

Konference

Konference10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Nummer10th
LokationThe Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4
LandCanada
ByVancouver
Periode17/08/201422/08/2014

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