Random effect selection in generalised linear models: a practical application to slaughterhouse surveillance data in Denmark

Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

Standard

Random effect selection in generalised linear models : a practical application to slaughterhouse surveillance data in Denmark. / Denwood, Matt; Houe, Hans; Forkman, Björn; Nielsen, Søren Saxmose.

2015. Abstract fra Annual Meeting of the Society of Veterinary Epidemiology and Preventive medicine, Ghent, Belgien.

Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

Harvard

Denwood, M, Houe, H, Forkman, B & Nielsen, SS 2015, 'Random effect selection in generalised linear models: a practical application to slaughterhouse surveillance data in Denmark', Annual Meeting of the Society of Veterinary Epidemiology and Preventive medicine, Ghent, Belgien, 25/03/2015 - 27/03/2015.

APA

Denwood, M., Houe, H., Forkman, B., & Nielsen, S. S. (2015). Random effect selection in generalised linear models: a practical application to slaughterhouse surveillance data in Denmark. Abstract fra Annual Meeting of the Society of Veterinary Epidemiology and Preventive medicine, Ghent, Belgien.

Vancouver

Denwood M, Houe H, Forkman B, Nielsen SS. Random effect selection in generalised linear models: a practical application to slaughterhouse surveillance data in Denmark. 2015. Abstract fra Annual Meeting of the Society of Veterinary Epidemiology and Preventive medicine, Ghent, Belgien.

Author

Denwood, Matt ; Houe, Hans ; Forkman, Björn ; Nielsen, Søren Saxmose. / Random effect selection in generalised linear models : a practical application to slaughterhouse surveillance data in Denmark. Abstract fra Annual Meeting of the Society of Veterinary Epidemiology and Preventive medicine, Ghent, Belgien.11 s.

Bibtex

@conference{7cda486bac2a41f89938242f32c78944,
title = "Random effect selection in generalised linear models: a practical application to slaughterhouse surveillance data in Denmark",
abstract = "We analysed abattoir recordings of meat inspection codes with possible relevance to onfarm animal welfare in cattle. Random effects logistic regression models were used to describe individual-level data obtained from 461,406 cattle slaughtered in Denmark. Our results demonstrate that the largest variance partition was at farm level for most codes, but there was substantial variation in reporting for some meat inspection codes between abattoirs.There was also substantial agreement for the relative under or over-reporting of different slaughter codes within individual abattoirs. This indicates that the sensitivity of routine surveillance in Denmark is affected by differences in the working practices between abattoirs, resulting in biased prevalence estimates. Therefore, it is essential to correct for the variation in reporting between abattoirs before meaningful inference can be made from prevalence estimates based on data derived from meat inspection.",
author = "Matt Denwood and Hans Houe and Bj{\"o}rn Forkman and Nielsen, {S{\o}ren Saxmose}",
year = "2015",
month = mar,
day = "26",
language = "English",
note = "null ; Conference date: 25-03-2015 Through 27-03-2015",

}

RIS

TY - ABST

T1 - Random effect selection in generalised linear models

AU - Denwood, Matt

AU - Houe, Hans

AU - Forkman, Björn

AU - Nielsen, Søren Saxmose

PY - 2015/3/26

Y1 - 2015/3/26

N2 - We analysed abattoir recordings of meat inspection codes with possible relevance to onfarm animal welfare in cattle. Random effects logistic regression models were used to describe individual-level data obtained from 461,406 cattle slaughtered in Denmark. Our results demonstrate that the largest variance partition was at farm level for most codes, but there was substantial variation in reporting for some meat inspection codes between abattoirs.There was also substantial agreement for the relative under or over-reporting of different slaughter codes within individual abattoirs. This indicates that the sensitivity of routine surveillance in Denmark is affected by differences in the working practices between abattoirs, resulting in biased prevalence estimates. Therefore, it is essential to correct for the variation in reporting between abattoirs before meaningful inference can be made from prevalence estimates based on data derived from meat inspection.

AB - We analysed abattoir recordings of meat inspection codes with possible relevance to onfarm animal welfare in cattle. Random effects logistic regression models were used to describe individual-level data obtained from 461,406 cattle slaughtered in Denmark. Our results demonstrate that the largest variance partition was at farm level for most codes, but there was substantial variation in reporting for some meat inspection codes between abattoirs.There was also substantial agreement for the relative under or over-reporting of different slaughter codes within individual abattoirs. This indicates that the sensitivity of routine surveillance in Denmark is affected by differences in the working practices between abattoirs, resulting in biased prevalence estimates. Therefore, it is essential to correct for the variation in reporting between abattoirs before meaningful inference can be made from prevalence estimates based on data derived from meat inspection.

M3 - Conference abstract for conference

Y2 - 25 March 2015 through 27 March 2015

ER -

ID: 135551551