应用I型和II型错误分析以支持使用免疫调节剂料添加剂的经济决策
L T Casarotto1, A De Vries1, J D Chapman2
1Department of Animal Sciences, University of Florida, Gainesville, FL 32611.
Journal of dairy science
|August 18, 2024
概括
本研究量化了在乳制品农场使用OmniGen-AF (OMN) 料补充剂的经济风险. 一种I类和II类错误分析显示,OMN可以是有利可图的,特别是考虑到牛奶,健康和生殖的好处,尽量减少财务风险.
科学领域:
- 农业经济学 农业经济学
- 动物科学动物科学
- 乳制品营养 乳制品营养
背景情况:
- 乳牛中OmniGen-AF (OMN) 料补充剂的利能力是不确定的,影响了对其使用的决定.
- 类型I (不利时使用) 和类型II (利时不使用) 错误分析对于经济风险评估至关重要.
研究的目的:
- 用I型和II型错误分析量化投资OMN料补充的经济风险.
- 根据牛奶产量,健康和生殖反应来评估OMN的利能力.
主要方法:
- 应用I类和II类错误分析,使用受控研究和来自奶牛场的现场数据.
- 开发了四种基于预期值和响应标准偏差的预测模型.
- 模拟牛奶反应不确定性,使用截断的正常分布.
主要成果:
- 对OMN来说,收益平衡的牛奶产量增加范围从-0.82到0.45公斤/母牛/天.
- I型错误成本为牛奶2.62美元,牛奶和健康反应0.47美元.
- 在考虑牛奶,健康和生殖时,没有发现I型错误成本,这表明没有不利使用的风险.
- 第二类错误成本 (机会成本) 从每头牛每天9.92美元到45.08美元不等.
结论:
- 类型I和II错误分析提供了比OMN采用的平衡分析更深入的经济洞察力.
- 这项分析支持对乳制品养殖中新料添加剂技术的知情决策.
- OMN显示出潜在的利能力,特别是当考虑到健康和生殖方面的好处时,从而降低了整体经济风险.
更多相关视频
07:10Application of Biochip Microfluidic Technology to Detect Serum Allergen-specific Immunoglobulin E sIgE
Published on: April 21, 2019
16.4K
06:15Characterization of Thymus-dependent and Thymus-independent Immunoglobulin Isotype Responses in Mice Using Enzyme-linked Immunosorbent Assay
Published on: September 7, 2018
9.4K
相关概念视频
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
124
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
124
01:17Hypothesis: Accept or Fail to Reject?
27.7K
The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null...
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null...
27.7K