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Table 3 Model comparison results of evaluation criteria

From: Influencing factors of Barthel index scores among the community-dwelling elderly in Hong Kong: a random intercept model

  Formula Random Effects Multi.R2 Adj.R2 AIC BIC -Loglik
LM Model 1: BI ~ Demo None 0.46 0.40 2519 2631 1229
  Model 2: BI ~ Demo + Disease 0.56 0.49 2481 2626 1201
  Model 3: BI ~ Demo + Disease + Health History 0.76 0.69 2360 2577 1120
  Formula Random Effects Cond.R2 Marg.R2 AIC BIC -Loglik
LME Model 4: BI ~ Demo ID 0.79 0.49 2433 2549 1185
  Model 5: BI ~ Demo + Disease 0.77 0.58 2432 2580 1175
  Model 6: BI ~ Demo + Disease + Health History 0.84 0.75 2337 2557 1107
  1. Note: Demo represents 17 socio-demographic variables; Disease represented 9 disease conditions, Health History represented 20 extracted features from health history in EHRs. Multi.R2, multiple R square. Adj.R2, adjusted R square. Cond.R2, Conditional R square. Marg.R2, Marginal R square,