Fig 1.
A path diagram of a prototype IG-GSCA model.
Table 1.
A summary of participants’ demographic, psychological, and behavioral characteristics.
Table 2.
List of genes and SNPs included in the gene-brain-depression data.
Table 3.
List of regions of interest (ROIs) included in the gene-brain-depression data.
Fig 2.
The structural model specified for the gene-brain-depression data.
All weights and residual terms are omitted to make the figure concise.
Table 4.
The estimates of weights and loadings and their standard errors and 95% confidence intervals.
Table 5.
Statistically significant estimates of the path coefficients that constitute the linkages from genes to ROIs to depression severity, and their standard errors and 95% confidence intervals.
Table 6.
R2 for all dependent variables that include ROIs and depression severity.
Fig 3.
The structural model specified for the simulations study.
All weights and residual terms are omitted. A non-zero path coefficient is denoted by an arrow, whereas a zero path coefficient is by a dashed arrow.
Table 7.
Average biases, Standard Deviations (SD), and Root Mean Square Errors (RMSE) of loadings and path coefficients estimated from IG-GSCA over different sample sizes in the simulation study.