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Table 6 Real data results: parameter estimates with standard errors and p-values from the four-latent classes model without covariates

From: Joint latent class model: Simulation study of model properties and application to amyotrophic lateral sclerosis disease

number of observations 2591
number of patients 511
average number of longitudinal measure 5
number of events 132
censoring rate 0.74
Sub-model Parameter Estimate (se) p-value
Multinomial logistic regression ξ01 -0.29 (0.49) 0.55
  ξ02 2.26 (0.44) <0.001
  ξ03 1.21 (0.53) 0.022
Weibull survival model ζ11 0.37 (0.02) <.001
  ζ21 1.52 (0.13) <0.001
  ζ12 0.12 (0.02) <0.001
  ζ22 1.25 (0.14) <0.001
  ζ13 0.24 (0.01) <0.001
  ζ23 1.56 (0.12) <0.001
  ζ14 0.26 (0.01) <0.001
  ζ24 2.02 (0.31) <0.001
Linear mixed model : fixed effects β01 35.22 (1.11) <0.001
  β11 -5.29 (0.32) <0.001
  β21 0.31 (0.04) <0.001
  β02 39.37 (0.34) <0.001
  β12 -0.52 (0.06) <0.001
  β22 -0.01 (0.00) 0.007
  β03 37.44 (0.66) <0.001
  β13 -1.92 (0.16) <0.001
  β23 0.04 (0.01) <0.001
  β04 39.00 (1.30) <0.001
  β14 -0.36 (0.20) <0.001
  β24 -0.10 (0.02) <0.001
Linear mixed model : random effects \(\sigma ^{2}_{b_{0}}\) 22.93  
  \(\sigma ^{2}_{b_{1}}\) 0.20  
  \(\sigma ^{2}_{b_{2}}\) 0.00  
  \(\sigma ^{2}_{\epsilon,1}\) 1.67