Table 1.
DMD study.
JM | JM | ||||||||
---|---|---|---|---|---|---|---|---|---|
Parameter | Name of the effect | Mean | SD | 95% CI | Mean | SD | 95% CI | ||
For longitudinal | |||||||||
Intercept | 1.377 | 0.097 | 1.189 | 1.566 | 1.377 | 0.098 | 1.188 | 1.572 | |
Precision | 0.947 | 0.091 | 0.779 | 1.133 | 0.950 | 0.090 | 0.780 | 1.132 | |
Both processes | |||||||||
Covariance between two processes | 0.301 | 0.172 | 0.017 | 0.586 | 0.302 | 0.173 | 0.014 | 0.585 | |
Variance component | 0.342 | 0.178 | 0.122 | 0.737 | 0.339 | 0.163 | 0.127 | 0.731 | |
Correlation | 0.634 | 0.148 | 0.345 | 0.900 | 0.634 | 0.141 | 0.346 | 0.878 | |
For time-to-event | |||||||||
Intercept | 1.000 | 0.101 | 0.801 | 1.196 | 0.991 | 0.100 | 0.803 | 1.195 | |
Presicion | 1.000 | 0.100 | 0.813 | 1.206 | 0.999 | 0.099 | 0.813 | 1.199 | |
Random intercept | 1.000 | 0.102 | 0.803 | 1.201 | |||||
Random slope | 0.999 | 0.100 | 0.802 | 1.194 |
Note: Results of model fitting. Bold implies significant covariates.