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Table 3 The maximum likelihood estimates (standard errors in parenthesis) of the LC mixture analysis

From: A joint latent class model for classifying severely hemorrhaging trauma patients

Variable Estimates (SE)
Model 1: linear regression model for latent-class structure
Intercept −0.791 (0.613)
SBP <90 0.570 (0.618)
HR ≥120 0.554 (0.621)
pH <7.25 0.384 (0.590)
Hgb <9.0 0.574 (0.760)
  SH Non-SH
Model 2: class-specific linear models for RBC transfusion
Intercept 2.400 (0.427) 0.767 (0.138)
SBP <90 0.081 (0.261) 0.188 (0.101)
HR ≥120 −0.169 (0.294) 0.089 (0.102)
pH <7.25 0.216 (0.307) 0.132 (0.087)
Hgb <9.0 −0.046 (0.331) 0.105 (0.161)
Plasma:RBC (0 vs. (0,1]) 0.682 (0.405) 0.942 (0.104)
Plasma:RBC (0 vs. >1) −0.145 (0.516) 0.616 (0.111)
Platelet:RBC (0 vs. (0,1]) 0.673 (0.313) 0.820 (0.095)
Platelet:RBC (0 vs. >1) 0.125 (0.404) 0.547 (0.174)
  SH Non-SH
Model 3: class-specific logistic models for traumatic death
Intercept −0.797 (1.070) −1.425 (1.279)
SBP <90 0.169 (0.817) −1.732 (2.530)
HR ≥120 −0.384 (0.739) 0.451 (1.347)
pH <7.25 1.083 (0.830) 2.027 (1.185)
Hgb <9.0 0.079 (0.938) −1.850 (3.283)
Plasma:RBC (0 vs. (0,1]) 0.727 (1.244) −1.131 (1.628)
Plasma:RBC (0 vs. >1) −0.819 (1.468) −1.837 (2.029)
Platelet:RBC (0 vs. (0,1]) −0.424 (1.056) −0.044 (1.706)
Platelet:RBC (0 vs. >1) −1.288 (1.627) 1.969 (1.874)