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Applied Statistics Commons

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Conference on Applied Statistics in Agriculture

Meta-analysis

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Full-Text Articles in Applied Statistics

The Effect Of Poultry Litter Application On Agricultural Production: A Meta-Analysis Of Crop Yield, Nutrient Uptake And Soil Fertility, Yaru Lin, Edzard Van Santen, Dexter Watts May 2016

The Effect Of Poultry Litter Application On Agricultural Production: A Meta-Analysis Of Crop Yield, Nutrient Uptake And Soil Fertility, Yaru Lin, Edzard Van Santen, Dexter Watts

Conference on Applied Statistics in Agriculture

Meta-analysis is a statistical technique used to analyze large datasets containing results from numerous individual studies. It appears to be a promising approach in agricultural sciences. This study aimed to conduct a meta-analytic assessment to elucidate the influence of poultry litter (PL) application on crop yield, plant nutrient uptake, and soil fertility as compared to inorganic fertilizer (IF). A meta-analysis based on 116 studies (111 refereed articles and five unpublished data sets) with 2293 observations compared agronomic responses to PL and IF application. The natural log of the response ratio was used as effect size (ES) to express differences in …


A Bayesian And Covariate Approach To Combine Results From Multiple Microarray Studies, John R. Stevens, R. W. Doerge Apr 2005

A Bayesian And Covariate Approach To Combine Results From Multiple Microarray Studies, John R. Stevens, R. W. Doerge

Conference on Applied Statistics in Agriculture

The growing popularity of microarray technology for testing changes in gene expression has resulted in multiple laboratories independently seeking to identify genes related to the same disease in the same organism. Despite the uniform nature of the technology, chance variation and fundamental differences between laboratories can result in considerable disagreement between the lists of significant candidate genes from each laboratory. By adjusting for known differences between laboratories through the use of covariates and employing a Bayesian framework to effectively account for between-laboratory variability, the results of multiple similar studies can be systematically combined via a meta-analysis. Meta-analyses yield additional information …