Comparing two approaches for meta-analysis of binary outcomes

In the present study, meta-analysis of binary outcome was undertaken by using two approaches namely Summary Statistics (SS) and Individual Animal Data (IAD) approach for obtaining more reliable estimates of the association of risk factors [breed (crossbred & indigenous), parity (primiparous &...

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Main Authors: YOGESH C BANGAR, MED RAM VERMA
Format: Article
Language:English
Published: Indian Council of Agricultural Research 2020-03-01
Series:Indian Journal of Animal Sciences
Subjects:
Online Access:https://epubs.icar.org.in/index.php/IJAnS/article/view/98823
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author YOGESH C BANGAR
MED RAM VERMA
author_facet YOGESH C BANGAR
MED RAM VERMA
author_sort YOGESH C BANGAR
collection DOAJ
description In the present study, meta-analysis of binary outcome was undertaken by using two approaches namely Summary Statistics (SS) and Individual Animal Data (IAD) approach for obtaining more reliable estimates of the association of risk factors [breed (crossbred & indigenous), parity (primiparous & multiparous), age (< 5 years & > 5 years) and milk yield (kg)] with clinical mastitis [binary outcome (yes or No)] in dairy cows in India. For the present study the data on mastitis were compiled from three organized cattle farms. The results of bootstrapping showed that the pooled estimates under Individual Animal Data (IAD) approach were significantly higher than Summary Statistics (SS) appraoch for all unadjusted risk factors. However the results of both approaches were similar under covariate-adjusted circumstances. In case of heterogeneity of effects across farms, Individual Animal Data (IAD) approach provides more reliable information than Summary Statistics (SS) approach. Therfore it was also concluded that the crossbreds (adjusted for age) cows (1.47 times), older cows (1.85 times) multiparous cows (2.21 times) and high yielders (1.67 times) cows were at higher risk of mastitis than their respective reference categories. Therefore Individual Animal Data (IAD) approach is an appropriate approach for animal science data as it is more reliable and perform better in heterogenous conditions.
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spelling doaj.art-1b415312515044898e44df50ca8ae91f2023-02-23T10:27:45ZengIndian Council of Agricultural ResearchIndian Journal of Animal Sciences0367-83182394-33272020-03-0190210.56093/ijans.v90i2.98823Comparing two approaches for meta-analysis of binary outcomesYOGESH C BANGAR0MED RAM VERMA1Scientist, Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, HaryanaPrincipal Scientist, Division of Livestock Economics, Statistics and Information Technology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh.In the present study, meta-analysis of binary outcome was undertaken by using two approaches namely Summary Statistics (SS) and Individual Animal Data (IAD) approach for obtaining more reliable estimates of the association of risk factors [breed (crossbred & indigenous), parity (primiparous & multiparous), age (< 5 years & > 5 years) and milk yield (kg)] with clinical mastitis [binary outcome (yes or No)] in dairy cows in India. For the present study the data on mastitis were compiled from three organized cattle farms. The results of bootstrapping showed that the pooled estimates under Individual Animal Data (IAD) approach were significantly higher than Summary Statistics (SS) appraoch for all unadjusted risk factors. However the results of both approaches were similar under covariate-adjusted circumstances. In case of heterogeneity of effects across farms, Individual Animal Data (IAD) approach provides more reliable information than Summary Statistics (SS) approach. Therfore it was also concluded that the crossbreds (adjusted for age) cows (1.47 times), older cows (1.85 times) multiparous cows (2.21 times) and high yielders (1.67 times) cows were at higher risk of mastitis than their respective reference categories. Therefore Individual Animal Data (IAD) approach is an appropriate approach for animal science data as it is more reliable and perform better in heterogenous conditions.https://epubs.icar.org.in/index.php/IJAnS/article/view/98823BootstrapClinical mastitisDairy cowsMeta-analysis Present address1Scientist (yogeshbangar07@gmail.com)Department of
spellingShingle YOGESH C BANGAR
MED RAM VERMA
Comparing two approaches for meta-analysis of binary outcomes
Indian Journal of Animal Sciences
Bootstrap
Clinical mastitis
Dairy cows
Meta-analysis Present address
1Scientist (yogeshbangar07@gmail.com)
Department of
title Comparing two approaches for meta-analysis of binary outcomes
title_full Comparing two approaches for meta-analysis of binary outcomes
title_fullStr Comparing two approaches for meta-analysis of binary outcomes
title_full_unstemmed Comparing two approaches for meta-analysis of binary outcomes
title_short Comparing two approaches for meta-analysis of binary outcomes
title_sort comparing two approaches for meta analysis of binary outcomes
topic Bootstrap
Clinical mastitis
Dairy cows
Meta-analysis Present address
1Scientist (yogeshbangar07@gmail.com)
Department of
url https://epubs.icar.org.in/index.php/IJAnS/article/view/98823
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