Table 2 Estimated latent class mixed model for CD4 (square root transformed) with two latent classes.

From: Modelling the impact of protein-kinase R allelic variant on HIV biomarkers trajectories by means of latent class mixed models

Parameter

Estimate

SE

p-value

intercept class1 (not estimated)

–

  

intercept class2

− 1.8316

0.9088

0.0439

Sex (male vs. female)

− 0.2638

0.4394

0.5483

CCR5-delta32 polymorphism (WT/WT vs. WT/delta32)

− 0.5101

0.5610

0.3633

Risk factor for HIV infection (sexual vs. IVDU)

− 1.8592

0.5866

0.0015

Anti-HCV (pos vs. neg)

− 1.3182

0.5401

0.0147

AIDS defining disease (yes vs. no)

− 0.9438

0.4083

0.0208

−168/PKR genotype (CT vs. CC)-class1

1.4269

0.7923

0.0717

−168/PKR genotype (CT vs. CC)-class2

− 0.2102

0.4510

0.6412

Age, years

− 0.0764

0.0286

0.0076

Duration of HIV infection

− 0.0326

0.0379

0.3889

Time-class1

0.0016

0.0081

0.8491

Time-class2

0.0068

0.0043

0.1154

Time: −168/PKR genotype (CT vs. CC)-class1

− 0.0007

0.0090

0.9400

Time: −168/PKR genotype (CT vs. CC)-class2

0.0131

0.0050

0.0081

  1. The “time: −168/PKR genotype” indicates the parameter for the interaction term, i.e., it describes the progression of CD4 separately for each allelic variant and for each latent class (class1 or class2).
  2. WT/WT wild type, anti-HCV hepatitis C virus antibodies, AIDS acquired immune deficiency syndrome, PKR protein kinase R.
  3. Significant coefficients are in bold.
Back to article page