TABLE 3.
Linear regression model for log CFU, adjusting for clustering of repeated measures in a single participant using robust standard errorsa
Log CFU | Coefficient | SE | P | 95% CIb |
---|---|---|---|---|
Constantc | 5.560 | 0.099 | <0.001 | 5.366 to 5.754 |
Day on treatment | −0.082d | 0.005 | <0.001 | −0.091 to −0.072 |
Vol (ml)e | ||||
6–10 | 0.265 | 0.090 | 0.003 | 0.088 to 0.442 |
>10 | 0.490 | 0.108 | <0.001 | 0.278 to 0.701 |
n = 5,067; number of clusters, 435; F (3.434) = 113.38; P < 0.001; R2 = 0.1235; root mean squared error (MSE), 1.1028.
95% CI, 95% confidence interval.
The constant represents the expected log CFU in the smallest volume category (<6 ml) when the time on treatment is zero.
Each day of increase in treatment duration decreases the log CFU by 0.082.
For the expected log CFU when the sputum volume changes from <6 ml to a higher volume category, add the corresponding volume coefficient.