Code
print(model_parameters(fit4, exponentiate = TRUE), zap_small = TRUE)
Output
# Response level: 2
Parameter | Odds Ratio | SE | 95% CI | z | p
--------------------------------------------------------------
(Intercept) | 1.00 | 0.62 | [0.30, 3.39] | 0.00 | 0.998
treat | 1.08 | 0.25 | [0.68, 1.71] | 0.31 | 0.755
age | 0.97 | 0.01 | [0.95, 0.99] | -2.38 | 0.018
educ | 0.98 | 0.05 | [0.89, 1.08] | -0.33 | 0.738
# Response level: 3
Parameter | Odds Ratio | SE | 95% CI | z | p
---------------------------------------------------------------
(Intercept) | 0.05 | 0.04 | [0.01, 0.20] | -4.23 | < .001
treat | 1.18 | 0.29 | [0.73, 1.91] | 0.67 | 0.502
age | 1.00 | 0.01 | [0.98, 1.02] | -0.01 | 0.989
educ | 1.20 | 0.06 | [1.08, 1.33] | 3.51 | < .001
Message
Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
using a Wald z-distribution approximation.
Code
print(model_parameters(fit5, exponentiate = TRUE), zap_small = TRUE)
Output
# Fixed Effects
Parameter | Odds Ratio | SE | 95% CI | z | p
------------------------------------------------------------
treat | 1.12 | 0.21 | [0.78, 1.61] | 0.60 | 0.549
age | 0.99 | 0.01 | [0.97, 1.01] | -0.78 | 0.436
educ | 1.11 | 0.04 | [1.03, 1.20] | 2.70 | 0.007
# Intercept
Parameter | Odds Ratio | SE | 95% CI | z | p
-------------------------------------------------------------
1|2 | 3.28 | 1.70 | [1.19, 9.04] | 2.30 | 0.022
2|3 | 9.84 | 5.03 | [3.61, 26.81] | 4.47 | < .001
Message
Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
using a Wald z-distribution approximation.
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