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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Format: | Article |
Language: | English |
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Indian Council of Agricultural Research
2020-03-01
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Series: | Indian Journal of Animal Sciences |
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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. |
first_indexed | 2024-04-10T07:47:21Z |
format | Article |
id | doaj.art-1b415312515044898e44df50ca8ae91f |
institution | Directory Open Access Journal |
issn | 0367-8318 2394-3327 |
language | English |
last_indexed | 2024-04-10T07:47:21Z |
publishDate | 2020-03-01 |
publisher | Indian Council of Agricultural Research |
record_format | Article |
series | Indian Journal of Animal Sciences |
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 |
work_keys_str_mv | AT yogeshcbangar comparingtwoapproachesformetaanalysisofbinaryoutcomes AT medramverma comparingtwoapproachesformetaanalysisofbinaryoutcomes |