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. 2020 Feb 17;4(2):1091–1102. doi: 10.1093/tas/txaa020

Table 4.

Mortality distributional assumptions for cattle type and antimicrobial treatment

Antimicrobial Placement weight (lb) Season Meana (%) SDa (%)
Upper Tier 600 Summer 1.07 0.91
Upper Tier 600 Winter 1.36 1.23
Upper Tier 800 Summer 0.94 0.55
Upper Tier 800 Winter 1.57 0.54
Lower Tier 600 Summer 4.14 3.77
Lower Tier 600 Winter 5.26 5.08
Lower Tier 800 Summer 3.66 2.30
Lower Tier 800 Winter 6.10 2.24
No Metaphylaxis 600 Summer 6.68 6.49
No Metaphylaxis 600 Winter 8.49 8.75
No Metaphylaxis 800 Summer 5.90 3.96
No Metaphylaxis 800 Winter 9.83 3.87

aTo account for endogenous producer decisions in using specific antimicrobials on specific cattle populations we use the odds ratios from Abell et al. (2017) for the lower tier antimicrobial and the mortality observed in lower tier antimicrobials to solve for the mortality of the control. We then use this control mortality and the odds ratios for the upper tier antimicrobial to obtain the mortality for the upper tier antimicrobial. This allows us to obtain the mortality of different antimicrobials on different cattle populations. A similar producer was used to find the standard deviations. In some cases, due to the absence of sufficient observations of steer pens (i.e., n ≥ 20), a pooled steer and heifer estimate was used.

Source: Proprietary feedlot data and Abell et al. (2017).