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Parameter
|
Point and 95 % CI by Method
|
∆ % 2
|
Range of CI by Method
|
|---|
| |
Robust Poisson
|
MCMC1
|
Robust Poisson
|
MCMC
|
|---|
|
Intercept
|
9.058 (1.124; 16.992)
|
7.742 (−2.670; 13.980)
|
−14.526
|
15.868
|
16.650
|
|
Septum Coefficient
|
0.229 (0.011; 0.446)
|
0.184 (0.017; 0.431)
|
−19.580
|
0.435
|
0.414
|
|
Sodium Coefficient
|
−0.100 (−0.159; −0.042)
|
−0.088 (−0.136; −0.009)
|
12.521
|
0.116
|
0.126
|
|
PASP Coefficient
|
0.018 (0.001; 0.036)
|
0.011 (−0.015; 0.027)
|
−38.650
|
0.035
|
0.042
|
|
Septum RR
|
1.257 (1.012; 1.562)
|
1.196 (1.018; 1.539)
|
−4.860
|
0.551
|
0.521
|
|
Sodium RR
|
0.904 (0.853; 0.958)
|
0.915 (0.873; 0.991)
|
1.135
|
0.105
|
0.118
|
|
PASP RR
|
1.018 (1.001; 1.036)
|
1.011 (0.986; 1.028)
|
−0.711
|
0.036
|
0.042
|
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1Random effects log-binomial model, mode point estimator and equal tails interval. CPU time: 24s. Details of MCMC simulation: 3 chains, 50000 iterations in each one plus the first 50000 that were discarded, and a thin of 100 iterations was applied
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2
\( \varDelta \%=\left(\frac{\mathrm{MCMC}\ \mathrm{point}\ \mathrm{estimate} - \mathrm{Poisson}\ \mathrm{point}\ \mathrm{estimate}}{\left|\mathrm{Poisson}\ \mathrm{point}\ \mathrm{estimate}\right|}\right) \)
