Health and Quality of Life Outcomes

Table 5 Conditional logit model and logit model calculation results

From: Valuing Chinese medicine quality of life-11 dimensions (CQ-11D) health states using a discrete choice experiment with survival duration (DCE_TTO)

Item level	Conditional logit			Conditional logit (Modified)
Item level	coefficient	SEM	P	coefficient	hidden utility coefficient
year	0.270	0.009	< 0.001*	0.287	——
hd2y	-0.023	0.004	< 0.001*	-0.024	-0.083
hd3y	-0.102	0.004	< 0.001*	-0.102	-0.355
hd4y	-0.143	0.004	< 0.001*	-0.144	-0.500
sy2y	0.011	0.004	0.005*	0.000	0.000
sy3y	-0.024	0.004	< 0.001*	-0.029	-0.102
sy4y	-0.037	0.004	< 0.001*	-0.043	-0.149
db2y	-0.003	0.004	0.523	-0.003	-0.011
db3y	-0.016	0.004	< 0.001*	-0.017	-0.060
db4y	-0.028	0.004	< 0.001*	-0.028	-0.099
sm2y	0.009	0.004	0.032*	0.000	0.000
sm3y	-0.011	0.004	0.005*	-0.015	-0.051
sm4y	-0.030	0.004	< 0.001*	-0.034	-0.118
js2y	-0.005	0.004	0.194	-0.006	-0.022
js3y	-0.022	0.004	< 0.001*	-0.023	-0.079
js4y	-0.041	0.004	< 0.001*	-0.041	-0.143
ty2y	0.005	0.004	0.253	0.000	0.000
ty3y	-0.017	0.004	< 0.001*	-0.020	-0.068
ty4y	-0.037	0.004	< 0.001*	-0.039	-0.135
xh2y	-0.002	0.004	0.539	-0.002	-0.007
xh3y	-0.013	0.004	0.002*	-0.013	-0.045
xh4y	-0.038	0.004	< 0.001*	-0.038	-0.131
tt2y	-0.011	0.004	0.006*	-0.010	-0.036
tt3y	-0.033	0.004	< 0.001*	-0.032	-0.112
tt4y	-0.061	0.004	< 0.001*	-0.060	-0.211
pl2y	0.006	0.004	0.130	0.000	0.000
pl3y	-0.015	0.004	< 0.001*	-0.017	-0.060
pl4y	-0.030	0.004	< 0.001*	-0.033	-0.114
fz2y	-0.001	0.004	0.738	-0.002	-0.006
fz3y	-0.012	0.004	0.003*	-0.011	-0.040
fz4y	-0.032	0.004	< 0.001*	-0.031	-0.109
jl2y	0.005	0.004	0.258	0.000	0.000
jl3y	-0.013	0.004	0.001*	-0.015	-0.052
jl4y	-0.043	0.004	< 0.001*	-0.046	-0.159
Log likelihood	-15,411.18
AIC	30,890.36
BIC	31,190.21

^**means significant at the level of α = 0.01
*means significant at the level of α = 0.05; AIC represents the Akaike information criterion; BIC represents the Bayesian information criterion; the bolding coefficient is not monotonic

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ISSN: 1477-7525

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