Year: 2025
Type: article
Abstract: Invited review: A review of some commonly used meta-analysis methods in dairy science research. By Tempelman, page 2115. Some meta-analysis techniques commonly considered within the Journal of Dairy Science are reviewed and compared with each other. Although those strategies recommended by various dairy scientists lead to meta-estimates and associated standard errors that are typically close to those based on likelihood-based methods developed in the statistics literature, the latter category provides greater resiliency for more general designs, particularly for crossover or Latin square designs.
Source: Journal of Dairy Science
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $3,500
OpenAlex ID: W4408077408