Implementing structural equation models to observational data from feedlot production systems-Reference-Cited by-同舟云学术

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Implementing structural equation models to observational data from feedlot production systems

Published:2017-11 Issue: Volume:147 Page:163-171
ISSN:0167-5877
Container-title:Preventive Veterinary Medicine
language:en
Short-container-title:Preventive Veterinary Medicine

Author:

Cha Elva,Sanderson Mike,Renter David,Jager Abigail,Cernicchiaro Natalia,Bello Nora M.

Funder

U.S. Department of Agriculture

National Institute of Food and Agriculture

Publisher

Elsevier BV

Subject

Animal Science and Zoology,Food Animals

Reference46 articles.

1. A new look at the statistical model identification;Akaike;IEEE Trans. Autom. Control,1974

2. Feedlot health and performance effects associated with the timing of respiratory disease treatment;Babcock;J. Anim. Sci.,2009

3. Exploring causal networks of bovine milk fatty acids in a multivariate mixed model context;Bouwman;Genet. Sel. Evol.,2014

4. Model Selection and Multimodel Inference: A Practical Information-theoretical Approach;Burnham,2002

5. Effects of body weight loss during transit from sale barns to commercial feedlots on health and performance in feeder cattle cohorts arriving to feedlots from 2000 to 2008;Cernicchiaro;J. Anim. Sci.,2012

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2. Inferential implications of normalizing binomial proportions in a structural equation model: A simulation study motivated by feedlot data;Preventive Veterinary Medicine;2023-08

3. Scalability and robustness of feed yard mortality prediction modeling to improve profitability;Agricultural and Resource Economics Review;2022-09-20

4. Additive Bayesian networks for antimicrobial resistance and potential risk factors in non-typhoidal Salmonella isolates from layer hens in Uganda;BMC Veterinary Research;2019-06-24

5. Accounting for Data Architecture on Structural Equation Modeling of Feedlot Cattle Performance;Journal of Agricultural, Biological and Environmental Statistics;2018-09-28

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