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Random effect selection in generalised linear models: a practical application to slaughterhouse surveillance data in Denmark
Matt Denwood
,
Hans Houe
,
Björn Forkman
,
Søren Saxmose Nielsen
440
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Dive into the research topics of 'Random effect selection in generalised linear models: a practical application to slaughterhouse surveillance data in Denmark'. Together they form a unique fingerprint.
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Keyphrases
Surveillance Data
100%
Generalized Linear Model
100%
Selection Effect
100%
Abattoir
100%
Denmark
100%
Random Effects
100%
Meat Inspection
60%
Prevalence Estimates
40%
Cattle
40%
Routine Surveillance
20%
Work Practices
20%
Variation Partitioning
20%
Farm Level
20%
Individual-level Data
20%
Large Variance
20%
Animal Welfare
20%
Overreporting
20%
Agricultural and Biological Sciences
Slaughterhouse
100%
Linear Models
100%
Meat Inspection
60%
Slaughter
20%
Animal Welfare
20%
Veterinary Science and Veterinary Medicine
Slaughterhouse
100%
Meat Inspection
60%
Prevalence
40%
Bovine
40%
Animal Welfare
20%