Table 5.
Variable | SMD | SE | 95% CI | P-value | R 2 | I 2, % | τ2 |
---|---|---|---|---|---|---|---|
Aging of the beef, d (KH) | −0.005 | 0.003 | −0.010 to 0.001 | 0.105 | −0.55 | 46.7 | 0.043 |
Aging of the beef, d (robust) | −0.009 | 0.008 | −0.029 to 0.011 | 0.315 | 0.001 | ||
Length of feeding, d (KH) | 0.001 | 0.0006 | −0.0002 to 0.002 | 0.125 | −5.06 | 39.9 | 0.035 |
Length of feeding, d (robust) | 0.001 | 0.0026 | −0.010 to 0.013 | 0.705 | 0.001 | ||
Multiple implants, % of studies (KH) | 0.196 | 0.051 | 0.095 to 0.296 | 0.001 | 18.1 | 46.9 | 0.036 |
Multiple implants, % of studies (robust) | 0.487 | 0.164 | 0.083 to 0.892 | 0.026 | 0.001 | ||
TBA, % of studies (KH) | −0.100 | 0.077 | −0.252 to 0.052 | 0.196 | −3.17 | 47.1 | 0.045 |
TBA, % of studies (robust) | 0.241 | 0.232 | −0.290 to 0.772 | 0.327 | 0.001 | ||
Breeda (reference British, British cross, European, and Holstein) | |||||||
Brahman and Brahman crosses (KH) | −0.017 | 0.064 | −0.144 to 0.110 | 0.789 | 4.39 | 42.7 | 0.042 |
Crossbred (undescribed; KH) | 0.189 | 0.087 | 0.018 to 0.360 | 0.031 | |||
Not stated (KH) | 0.423 | 0.217 | −0.006 to 0.853 | 0.053 | |||
Sexa (reference steers) | |||||||
Bull (KH) | 0.289 | 0.186 | −0.077 to 0.656 | 0.121 | 9.21 | 44.3 | 0.040 |
Heifer (KH) | −0.084 | 0.055 | −0.193 to 0.024 | 0.127 | |||
Mixed (KH) | 0.082 | 0.115 | −0.145 to 0.308 | 0.477 | |||
Stimulation (reference not stimulated) | |||||||
Stimulated (KH) | 0.059 | 0.090 | −0.119 to 0.238 | 0.512 | 4.08 | 47.9 | 0.042 |
Not stated (KH) | 0.197 | 0.094 | 0.012 to 0.383 | 0.037 |
The estimates based on Knapp–Hartung methods (KH) provide a SMD, SE, and 95% CI of the SMD, significance (P-value), model fit (R2), and measures of heterogeneity I2 and τ2. Estimates based on robust regression methods (robust) at the treatment level provide a SMD, SE, and 95% CI of the SMD, P-value, and τ2. There were 177 treatment comparisons and 28 experiments.
aThe distribution of data leads to small degrees of freedom for sex and breed, resulting in unreliable P-values for the robust regression.