Skip to main content
. Author manuscript; available in PMC: 2017 Oct 15.
Published in final edited form as: Stat Med. 2016 Jun 20;35(23):4077–4092. doi: 10.1002/sim.7005

Table 2.

Random intercept logistic regression model of good respiratory status (N=56). The effects of Drug A and Placebo are measured with respect to baseline respiratory status.a

Parameter name Parameter estimate P-value 95% CI
Fixed effects
 Age −0.073 0.05 [−0.15, 0.0004]
 Drug Ab 1.81 0.002 [0.65, 2.98]
 Placeboc 0.49 0.39 [−0.63, 1.62]
 Intercept 0.65 0.60 [−1.76, 3.05]
Variance of intercept 7.93 [3.55, 17.7]

CI: Confidence interval.

a

The dichotomous respiratory status was defined as 1 if the subject had a good respiratory status (status 3 or 4), 0 otherwise.

b

The dichotomous variable was defined as 1 if the respiratory status was obtained under Drug A, or 0 if it was obtained at baseline or under Placebo.

c

The dichotomous variable was defined as 1 if the respiratory status was obtained under Placebo, or 0 if it was obtained at baseline or under Drug A.