When I summarise the results from the longitudinal model, I obtain the fixed effects. For example, when age 65 is set to 0, the coefficient for male is -0.83140. Can I interpret this as meaning the mean difference in CESD score was -0.83 at age 65?
However, this result differs from the predicted value obtained using predictY (difference: -3.042017).
cbind(women$times,women$pred)
cbind(men$times,men$pred)
men$pred[1]-women$pred[1]
When I summarise the results from the longitudinal model, I obtain the fixed effects. For example, when age 65 is set to 0, the coefficient for male is -0.83140. Can I interpret this as meaning the mean difference in CESD score was -0.83 at age 65? However, this result differs from the predicted value obtained using predictY (difference: -3.042017). cbind(women$times,women$pred) cbind(men$times,men$pred) men$pred[1]-women$pred[1]
Originally posted by @HaibinLi0817 in https://github.com/CecileProust-Lima/lcmm/issues/278#issuecomment-2407352536