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Meta-analysis of the immunocastration technique (anti-GnRH) for male bovines in the finishing phase PAB
Machado,Diego Soares; Joner,Guilherme; Pereira,Lucas Braido; Pötter,Luciana; Brondani,Ivan Luiz; Alves Filho,Dari Celestino.
Abstract: The objective of this work was to analyze the effects of immunocastration on the performance and carcass quality of steers in the finishing phase, compared with non-castration and surgical castration. Data from ten studies with records of 1,261 male bovines were analyzed. The studies included in the meta-analysis necessarily contained treatments with immunocastration specifically against the gonadotropin-releasing hormone. Each study was considered as a random effect in the statistical model used. The data were tested for homogeneity of variances and residue normality, and then subjected to the analysis of variance. Means were compared by Student’s t-test. Non-castrated steers showed greater daily weight gain, feed efficiency, slaughter and hot...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Castration methods; Daily weight gain; Fat cover; Forest plot; Meat quality.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000800961
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metan: fixed- and random-effects meta-analysis AgEcon
Harris, Ross J.; Bradburn, Michael J.; Deeks, Jonathan J.; Harbord, Roger M.; Altman, Douglas G.; Sterne, Jonathan A.C..
This article describes updates of the meta-analysis command metan and options that have been added since the command’s original publication (Bradburn, Deeks, and Altman, metan — an alternative meta-analysis command, Stata Technical Bulletin Reprints, vol. 8, pp. 86–100). These include version 9 graphics with flexible display options, the ability to meta-analyze precalculated effect estimates, and the ability to analyze subgroups by using the by() option. Changes to the output, saved variables, and saved results are also described.
Tipo: Article Palavras-chave: Metan; Meta-analysis; Forest plot; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/120926
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Graphical representation of interactions AgEcon
Barthel, Friederike Maria-Sophie; Royston, Patrick.
We provide a program to illustrate interactions between treatment and covariates or between two covariates by using forest plots under either the Cox proportional hazards or the logistic regression model. The program is flexible in both the possibility of illustrating more than one interaction at a time and variable specifications of scale.
Tipo: Journal Article Palavras-chave: Fintplot; Interaction; Forest plot; Randomized controlled trial; Survival analysis; Logistic regression; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117585
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