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

Søren Østergaard; Jehan Frans Ettema; Line Hjortø; Jørn Pedersen; Morten  Kargo

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

Søren Østergaard, Jehan Frans Ettema, Line Hjortø, Jørn Pedersen, Morten Kargo

Publikation: Konferencebidrag › Paper › Forskning › peer review

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Abstract

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

Originalsprog	Engelsk
Publikationsdato	17 aug. 2014
Antal sider	3
Status	Udgivet - 17 aug. 2014
Begivenhed	10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada Varighed: 17 aug. 2014 → 22 aug. 2014 Konferencens nummer: 10th

Konference

Konference	10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Nummer	10th
Lokation	The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4
Land/Område	Canada
By	Vancouver
Periode	17/08/2014 → 22/08/2014

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Paper_9531_manuscript_697Accepteret manuskript, 265 KB

https://event.crowdcompass.com/wcgalp2014/activity/C3Ek3J3FXl

Multiple regression and mediator variables can be used to avoid double counting when economic values are derived using stochastic herd simulation
Ettema, J. F. (Foredragsholder)
18 aug. 2014
Aktivitet: Præsentationer, medlemskaber, ansættelser, ejerskab og andre aktiviteter › Foredrag og mundtlige bidrag

Citationsformater

Østergaard, S., Ettema, J. F., Hjortø, L., Pedersen, J., & Kargo, M. (2014). Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/C3Ek3J3FXl

@conference{ba6afd74ce9c4e73b41144947d6e1fea,

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

abstract = "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",

keywords = "dairy catlle, economic values, herd simulation",

author = "S{\o}ren {\O}stergaard and Ettema, {Jehan Frans} and Line Hjort{\o} and J{\o}rn Pedersen and Morten Kargo",

year = "2014",

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day = "17",

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note = "10th World Congress on Genetics Applied to Livestock Production (WCGALP), WCGALP ; Conference date: 17-08-2014 Through 22-08-2014",

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Østergaard, S , Ettema, JF, Hjortø, L, Pedersen, J & Kargo, M 2014, 'Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation', Paper fremlagt ved 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada, 17/08/2014 - 22/08/2014. <https://event.crowdcompass.com/wcgalp2014/activity/C3Ek3J3FXl>

Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation. / Østergaard, Søren ; Ettema, Jehan Frans; Hjortø, Line et al.
2014. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

Publikation: Konferencebidrag › Paper › Forskning › peer review

TY - CONF

T1 - Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation

AU - Østergaard, Søren

AU - Ettema, Jehan Frans

AU - Hjortø, Line

AU - Pedersen, Jørn

AU - Kargo, Morten

N1 - Conference code: 10th

PY - 2014/8/17

Y1 - 2014/8/17

N2 - 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

AB - 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

KW - dairy catlle

KW - economic values

KW - herd simulation

M3 - Paper

T2 - 10th World Congress on Genetics Applied to Livestock Production (WCGALP)

Y2 - 17 August 2014 through 22 August 2014

ER -

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 mediator variables can be used to avoid double counting when economic values are derived using stochastic herd simulation

Citationsformater