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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

Research output: Contribution to conferencePaperResearchpeer-review

Standard

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; Pedersen, Jørn; Kargo, Morten .

2014. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

Research output: Contribution to conferencePaperResearchpeer-review

Harvard

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 presented at 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>

APA

CBE

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 presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

MLA

Østergaard, Søren et al. Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation. 10th World Congress on Genetics Applied to Livestock Production (WCGALP), 17 Aug 2014, Vancouver, Canada, Paper, 2014. 3 p.

Vancouver

Østergaard S, Ettema JF, Hjortø L, Pedersen J, Kargo M. Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation. 2014. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

Author

Østergaard, Søren ; Ettema, Jehan Frans ; Hjortø, Line ; Pedersen, Jørn ; Kargo, Morten . / Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.3 p.

Bibtex

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

}

RIS

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 -