Comparing two approaches for meta-analysis of binary outcomes Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.56093/ijans.v90i2.98823
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.56093/ijans.v90i2.98823
- https://epubs.icar.org.in/index.php/IJAnS/article/download/98823/39294
- OA Status
- diamond
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3210231781
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3210231781Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.56093/ijans.v90i2.98823Digital Object Identifier
- Title
-
Comparing two approaches for meta-analysis of binary outcomesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-03-06Full publication date if available
- Authors
-
Yogesh C. Bangar, Med Ram VermaList of authors in order
- Landing page
-
https://doi.org/10.56093/ijans.v90i2.98823Publisher landing page
- PDF URL
-
https://epubs.icar.org.in/index.php/IJAnS/article/download/98823/39294Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://epubs.icar.org.in/index.php/IJAnS/article/download/98823/39294Direct OA link when available
- Concepts
-
Covariate, Mastitis, Statistics, Meta-analysis, Breed, Crossbreed, Bootstrapping (finance), Parity (physics), Biology, Animal science, Veterinary medicine, Mathematics, Medicine, Econometrics, Internal medicine, Microbiology, Physics, Particle physicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3210231781 |
|---|---|
| doi | https://doi.org/10.56093/ijans.v90i2.98823 |
| ids.doi | https://doi.org/10.56093/ijans.v90i2.98823 |
| ids.mag | 3210231781 |
| ids.openalex | https://openalex.org/W3210231781 |
| fwci | 0.0 |
| type | article |
| title | Comparing two approaches for meta-analysis of binary outcomes |
| biblio.issue | 2 |
| biblio.volume | 90 |
| biblio.last_page | 274 |
| biblio.first_page | 269 |
| topics[0].id | https://openalex.org/T10594 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.9994000196456909 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1311 |
| topics[0].subfield.display_name | Genetics |
| topics[0].display_name | Genetic and phenotypic traits in livestock |
| topics[1].id | https://openalex.org/T13358 |
| topics[1].field.id | https://openalex.org/fields/11 |
| topics[1].field.display_name | Agricultural and Biological Sciences |
| topics[1].score | 0.9973000288009644 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1102 |
| topics[1].subfield.display_name | Agronomy and Crop Science |
| topics[1].display_name | Livestock Management and Performance Improvement |
| topics[2].id | https://openalex.org/T11226 |
| topics[2].field.id | https://openalex.org/fields/11 |
| topics[2].field.display_name | Agricultural and Biological Sciences |
| topics[2].score | 0.9962000250816345 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1102 |
| topics[2].subfield.display_name | Agronomy and Crop Science |
| topics[2].display_name | Milk Quality and Mastitis in Dairy Cows |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C119043178 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7535496950149536 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q320723 |
| concepts[0].display_name | Covariate |
| concepts[1].id | https://openalex.org/C2776344049 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7378593683242798 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q835061 |
| concepts[1].display_name | Mastitis |
| concepts[2].id | https://openalex.org/C105795698 |
| concepts[2].level | 1 |
| concepts[2].score | 0.6049537658691406 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[2].display_name | Statistics |
| concepts[3].id | https://openalex.org/C95190672 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5968434810638428 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q815382 |
| concepts[3].display_name | Meta-analysis |
| concepts[4].id | https://openalex.org/C2776482104 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5216251611709595 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q38829 |
| concepts[4].display_name | Breed |
| concepts[5].id | https://openalex.org/C173419221 |
| concepts[5].level | 2 |
| concepts[5].score | 0.47952699661254883 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q4390467 |
| concepts[5].display_name | Crossbreed |
| concepts[6].id | https://openalex.org/C207609745 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4557468891143799 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q4944086 |
| concepts[6].display_name | Bootstrapping (finance) |
| concepts[7].id | https://openalex.org/C2777151079 |
| concepts[7].level | 2 |
| concepts[7].score | 0.43314042687416077 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q141160 |
| concepts[7].display_name | Parity (physics) |
| concepts[8].id | https://openalex.org/C86803240 |
| concepts[8].level | 0 |
| concepts[8].score | 0.41907763481140137 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[8].display_name | Biology |
| concepts[9].id | https://openalex.org/C140793950 |
| concepts[9].level | 1 |
| concepts[9].score | 0.34784382581710815 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q168091 |
| concepts[9].display_name | Animal science |
| concepts[10].id | https://openalex.org/C42972112 |
| concepts[10].level | 1 |
| concepts[10].score | 0.3259025812149048 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q170201 |
| concepts[10].display_name | Veterinary medicine |
| concepts[11].id | https://openalex.org/C33923547 |
| concepts[11].level | 0 |
| concepts[11].score | 0.31534916162490845 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[11].display_name | Mathematics |
| concepts[12].id | https://openalex.org/C71924100 |
| concepts[12].level | 0 |
| concepts[12].score | 0.2311520278453827 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[12].display_name | Medicine |
| concepts[13].id | https://openalex.org/C149782125 |
| concepts[13].level | 1 |
| concepts[13].score | 0.1880592405796051 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q160039 |
| concepts[13].display_name | Econometrics |
| concepts[14].id | https://openalex.org/C126322002 |
| concepts[14].level | 1 |
| concepts[14].score | 0.07979059219360352 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[14].display_name | Internal medicine |
| concepts[15].id | https://openalex.org/C89423630 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q7193 |
| concepts[15].display_name | Microbiology |
| concepts[16].id | https://openalex.org/C121332964 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[16].display_name | Physics |
| concepts[17].id | https://openalex.org/C109214941 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q18334 |
| concepts[17].display_name | Particle physics |
| keywords[0].id | https://openalex.org/keywords/covariate |
| keywords[0].score | 0.7535496950149536 |
| keywords[0].display_name | Covariate |
| keywords[1].id | https://openalex.org/keywords/mastitis |
| keywords[1].score | 0.7378593683242798 |
| keywords[1].display_name | Mastitis |
| keywords[2].id | https://openalex.org/keywords/statistics |
| keywords[2].score | 0.6049537658691406 |
| keywords[2].display_name | Statistics |
| keywords[3].id | https://openalex.org/keywords/meta-analysis |
| keywords[3].score | 0.5968434810638428 |
| keywords[3].display_name | Meta-analysis |
| keywords[4].id | https://openalex.org/keywords/breed |
| keywords[4].score | 0.5216251611709595 |
| keywords[4].display_name | Breed |
| keywords[5].id | https://openalex.org/keywords/crossbreed |
| keywords[5].score | 0.47952699661254883 |
| keywords[5].display_name | Crossbreed |
| keywords[6].id | https://openalex.org/keywords/bootstrapping |
| keywords[6].score | 0.4557468891143799 |
| keywords[6].display_name | Bootstrapping (finance) |
| keywords[7].id | https://openalex.org/keywords/parity |
| keywords[7].score | 0.43314042687416077 |
| keywords[7].display_name | Parity (physics) |
| keywords[8].id | https://openalex.org/keywords/biology |
| keywords[8].score | 0.41907763481140137 |
| keywords[8].display_name | Biology |
| keywords[9].id | https://openalex.org/keywords/animal-science |
| keywords[9].score | 0.34784382581710815 |
| keywords[9].display_name | Animal science |
| keywords[10].id | https://openalex.org/keywords/veterinary-medicine |
| keywords[10].score | 0.3259025812149048 |
| keywords[10].display_name | Veterinary medicine |
| keywords[11].id | https://openalex.org/keywords/mathematics |
| keywords[11].score | 0.31534916162490845 |
| keywords[11].display_name | Mathematics |
| keywords[12].id | https://openalex.org/keywords/medicine |
| keywords[12].score | 0.2311520278453827 |
| keywords[12].display_name | Medicine |
| keywords[13].id | https://openalex.org/keywords/econometrics |
| keywords[13].score | 0.1880592405796051 |
| keywords[13].display_name | Econometrics |
| keywords[14].id | https://openalex.org/keywords/internal-medicine |
| keywords[14].score | 0.07979059219360352 |
| keywords[14].display_name | Internal medicine |
| language | en |
| locations[0].id | doi:10.56093/ijans.v90i2.98823 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S70380255 |
| locations[0].source.issn | 0367-8318, 2394-3327 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 0367-8318 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | The Indian Journal of Animal Sciences |
| locations[0].source.host_organization | https://openalex.org/P4310318737 |
| locations[0].source.host_organization_name | Indian Council of Agricultural Research |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310318737 |
| locations[0].source.host_organization_lineage_names | Indian Council of Agricultural Research |
| locations[0].license | cc-by-nc-sa |
| locations[0].pdf_url | https://epubs.icar.org.in/index.php/IJAnS/article/download/98823/39294 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-sa |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | The Indian Journal of Animal Sciences |
| locations[0].landing_page_url | https://doi.org/10.56093/ijans.v90i2.98823 |
| locations[1].id | pmh:oai:doaj.org/article:1b415312515044898e44df50ca8ae91f |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Indian Journal of Animal Sciences, Vol 90, Iss 2 (2020) |
| locations[1].landing_page_url | https://doaj.org/article/1b415312515044898e44df50ca8ae91f |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5074908921 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-8861-161X |
| authorships[0].author.display_name | Yogesh C. Bangar |
| authorships[0].countries | IN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I233492666 |
| authorships[0].affiliations[0].raw_affiliation_string | Scientist, Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana |
| authorships[0].institutions[0].id | https://openalex.org/I233492666 |
| authorships[0].institutions[0].ror | https://ror.org/02d10f818 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I233492666 |
| authorships[0].institutions[0].country_code | IN |
| authorships[0].institutions[0].display_name | Lala Lajpat Rai University of Veterinary and Animal Sciences |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | YOGESH C BANGAR |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Scientist, Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana |
| authorships[1].author.id | https://openalex.org/A5109312312 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Med Ram Verma |
| authorships[1].countries | IN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I185790649 |
| authorships[1].affiliations[0].raw_affiliation_string | Principal Scientist, Division of Livestock Economics, Statistics and Information Technology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh. |
| authorships[1].institutions[0].id | https://openalex.org/I185790649 |
| authorships[1].institutions[0].ror | https://ror.org/02jcfzc36 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I179420787, https://openalex.org/I185790649 |
| authorships[1].institutions[0].country_code | IN |
| authorships[1].institutions[0].display_name | Indian Veterinary Research Institute |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | MED RAM VERMA |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Principal Scientist, Division of Livestock Economics, Statistics and Information Technology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh. |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://epubs.icar.org.in/index.php/IJAnS/article/download/98823/39294 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Comparing two approaches for meta-analysis of binary outcomes |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10594 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.9994000196456909 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1311 |
| primary_topic.subfield.display_name | Genetics |
| primary_topic.display_name | Genetic and phenotypic traits in livestock |
| related_works | https://openalex.org/W2095778445, https://openalex.org/W2347824099, https://openalex.org/W2005759436, https://openalex.org/W2919752802, https://openalex.org/W2968794610, https://openalex.org/W2066718317, https://openalex.org/W4361802096, https://openalex.org/W2032100791, https://openalex.org/W1968456635, https://openalex.org/W3210231781 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.56093/ijans.v90i2.98823 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S70380255 |
| best_oa_location.source.issn | 0367-8318, 2394-3327 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 0367-8318 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | The Indian Journal of Animal Sciences |
| best_oa_location.source.host_organization | https://openalex.org/P4310318737 |
| best_oa_location.source.host_organization_name | Indian Council of Agricultural Research |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310318737 |
| best_oa_location.source.host_organization_lineage_names | Indian Council of Agricultural Research |
| best_oa_location.license | cc-by-nc-sa |
| best_oa_location.pdf_url | https://epubs.icar.org.in/index.php/IJAnS/article/download/98823/39294 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-sa |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | The Indian Journal of Animal Sciences |
| best_oa_location.landing_page_url | https://doi.org/10.56093/ijans.v90i2.98823 |
| primary_location.id | doi:10.56093/ijans.v90i2.98823 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S70380255 |
| primary_location.source.issn | 0367-8318, 2394-3327 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 0367-8318 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | The Indian Journal of Animal Sciences |
| primary_location.source.host_organization | https://openalex.org/P4310318737 |
| primary_location.source.host_organization_name | Indian Council of Agricultural Research |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310318737 |
| primary_location.source.host_organization_lineage_names | Indian Council of Agricultural Research |
| primary_location.license | cc-by-nc-sa |
| primary_location.pdf_url | https://epubs.icar.org.in/index.php/IJAnS/article/download/98823/39294 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-sa |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | The Indian Journal of Animal Sciences |
| primary_location.landing_page_url | https://doi.org/10.56093/ijans.v90i2.98823 |
| publication_date | 2020-03-06 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2038581509, https://openalex.org/W2129727325, https://openalex.org/W2587345684, https://openalex.org/W4297918764, https://openalex.org/W2055491290, https://openalex.org/W2315123323, https://openalex.org/W2041412209, https://openalex.org/W93772223, https://openalex.org/W2107328434, https://openalex.org/W1599197843, https://openalex.org/W2117897510, https://openalex.org/W1974972880, https://openalex.org/W2126930838, https://openalex.org/W2106427882, https://openalex.org/W2162528280, https://openalex.org/W1483223626, https://openalex.org/W2045657044, https://openalex.org/W2137711510, https://openalex.org/W298366961, https://openalex.org/W1971814772, https://openalex.org/W2099304231, https://openalex.org/W1991958254, https://openalex.org/W2043241676, https://openalex.org/W169910215, https://openalex.org/W2025094672, https://openalex.org/W2067722551, https://openalex.org/W2036907762, https://openalex.org/W24088030, https://openalex.org/W2161754743 |
| referenced_works_count | 29 |
| abstract_inverted_index.5 | 45, 49 |
| abstract_inverted_index.In | 0, 122 |
| abstract_inverted_index.an | 190 |
| abstract_inverted_index.as | 197 |
| abstract_inverted_index.at | 173 |
| abstract_inverted_index.by | 10 |
| abstract_inverted_index.in | 63, 66, 205 |
| abstract_inverted_index.is | 189, 199 |
| abstract_inverted_index.it | 145, 198 |
| abstract_inverted_index.of | 5, 29, 32, 85, 114, 124, 126, 176 |
| abstract_inverted_index.on | 74 |
| abstract_inverted_index.or | 61 |
| abstract_inverted_index.For | 68 |
| abstract_inverted_index.The | 83 |
| abstract_inverted_index.age | 43 |
| abstract_inverted_index.all | 107 |
| abstract_inverted_index.and | 18, 51, 166, 202 |
| abstract_inverted_index.for | 24, 106, 153, 193 |
| abstract_inverted_index.the | 1, 30, 69, 72, 89, 112, 150 |
| abstract_inverted_index.two | 12 |
| abstract_inverted_index.was | 8, 146 |
| abstract_inverted_index.> | 48 |
| abstract_inverted_index.(SS) | 17, 104, 142 |
| abstract_inverted_index.(yes | 60 |
| abstract_inverted_index.Data | 21, 95, 132, 186 |
| abstract_inverted_index.No)] | 62 |
| abstract_inverted_index.age) | 154 |
| abstract_inverted_index.also | 147 |
| abstract_inverted_index.both | 115 |
| abstract_inverted_index.case | 123 |
| abstract_inverted_index.cows | 65, 155, 159, 163, 171 |
| abstract_inverted_index.data | 73, 196 |
| abstract_inverted_index.from | 78 |
| abstract_inverted_index.high | 167 |
| abstract_inverted_index.milk | 52 |
| abstract_inverted_index.more | 26, 136, 200 |
| abstract_inverted_index.risk | 33, 109, 175 |
| abstract_inverted_index.than | 101, 139, 178 |
| abstract_inverted_index.that | 88, 149 |
| abstract_inverted_index.were | 76, 98, 117, 172 |
| abstract_inverted_index.with | 55 |
| abstract_inverted_index.& | 37, 41, 47 |
| abstract_inverted_index.(< | 44 |
| abstract_inverted_index.(1.47 | 156 |
| abstract_inverted_index.(1.67 | 169 |
| abstract_inverted_index.(1.85 | 160 |
| abstract_inverted_index.(2.21 | 164 |
| abstract_inverted_index.(IAD) | 22, 96, 133, 187 |
| abstract_inverted_index.(kg)] | 54 |
| abstract_inverted_index.dairy | 64 |
| abstract_inverted_index.older | 158 |
| abstract_inverted_index.study | 71 |
| abstract_inverted_index.their | 179 |
| abstract_inverted_index.three | 79 |
| abstract_inverted_index.under | 92, 119 |
| abstract_inverted_index.using | 11 |
| abstract_inverted_index.years | 46 |
| abstract_inverted_index.yield | 53 |
| abstract_inverted_index.Animal | 20, 94, 131, 185 |
| abstract_inverted_index.India. | 67 |
| abstract_inverted_index.[breed | 35 |
| abstract_inverted_index.across | 128 |
| abstract_inverted_index.animal | 194 |
| abstract_inverted_index.better | 204 |
| abstract_inverted_index.binary | 6 |
| abstract_inverted_index.cattle | 81 |
| abstract_inverted_index.farms, | 129 |
| abstract_inverted_index.farms. | 82 |
| abstract_inverted_index.higher | 100, 174 |
| abstract_inverted_index.namely | 14 |
| abstract_inverted_index.parity | 39 |
| abstract_inverted_index.pooled | 90 |
| abstract_inverted_index.showed | 87 |
| abstract_inverted_index.study, | 3 |
| abstract_inverted_index.times) | 161, 165, 170 |
| abstract_inverted_index.years) | 50 |
| abstract_inverted_index.However | 111 |
| abstract_inverted_index.Summary | 15, 102, 140 |
| abstract_inverted_index.[binary | 58 |
| abstract_inverted_index.effects | 127 |
| abstract_inverted_index.factors | 34 |
| abstract_inverted_index.outcome | 7, 59 |
| abstract_inverted_index.perform | 203 |
| abstract_inverted_index.present | 2, 70 |
| abstract_inverted_index.results | 84, 113 |
| abstract_inverted_index.science | 195 |
| abstract_inverted_index.similar | 118 |
| abstract_inverted_index.times), | 157 |
| abstract_inverted_index.Therfore | 144 |
| abstract_inverted_index.appraoch | 105 |
| abstract_inverted_index.approach | 23, 97, 134, 188, 192 |
| abstract_inverted_index.clinical | 56 |
| abstract_inverted_index.compiled | 77 |
| abstract_inverted_index.factors. | 110 |
| abstract_inverted_index.mastitis | 57, 75, 177 |
| abstract_inverted_index.provides | 135 |
| abstract_inverted_index.reliable | 27, 137, 201 |
| abstract_inverted_index.yielders | 168 |
| abstract_inverted_index.(adjusted | 152 |
| abstract_inverted_index.Therefore | 183 |
| abstract_inverted_index.approach. | 143 |
| abstract_inverted_index.concluded | 148 |
| abstract_inverted_index.estimates | 28, 91 |
| abstract_inverted_index.obtaining | 25 |
| abstract_inverted_index.organized | 80 |
| abstract_inverted_index.reference | 181 |
| abstract_inverted_index.(crossbred | 36 |
| abstract_inverted_index.Individual | 19, 93, 130, 184 |
| abstract_inverted_index.Statistics | 16, 103, 141 |
| abstract_inverted_index.approaches | 13, 116 |
| abstract_inverted_index.crossbreds | 151 |
| abstract_inverted_index.respective | 180 |
| abstract_inverted_index.unadjusted | 108 |
| abstract_inverted_index.undertaken | 9 |
| abstract_inverted_index.appropriate | 191 |
| abstract_inverted_index.association | 31 |
| abstract_inverted_index.categories. | 182 |
| abstract_inverted_index.conditions. | 207 |
| abstract_inverted_index.information | 138 |
| abstract_inverted_index.multiparous | 162 |
| abstract_inverted_index.(primiparous | 40 |
| abstract_inverted_index.heterogenous | 206 |
| abstract_inverted_index.indigenous), | 38 |
| abstract_inverted_index.bootstrapping | 86 |
| abstract_inverted_index.heterogeneity | 125 |
| abstract_inverted_index.meta-analysis | 4 |
| abstract_inverted_index.multiparous), | 42 |
| abstract_inverted_index.significantly | 99 |
| abstract_inverted_index.circumstances. | 121 |
| abstract_inverted_index.covariate-adjusted | 120 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.20916778 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |