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. Author manuscript; available in PMC: 2017 Nov 27.
Published in final edited form as: J Int Neuropsychol Soc. 2017 Jun 29;23(8):640ā€“652. doi: 10.1017/S1355617717000480

Figure 1b.

Figure 1b

Model examining the association between race and neurocognitive function (NIH TB Fluid Composite TS), and whether insurance type might account for this association after adjusting for reading level, stroke severity and health literacy. The c coefficient represents the total relationship between race and neurocognitive function (not controlling for insurance type, or significant covariates). The cā€™ coefficient represents the strength of the association between race and neurocognitive function after controlling for the proposed intermediate factor (insurance type) and reading level, stroke severity and health literacy. The Coefficient for the direct effect, cā€™, was estimated using the bootstrap approximations from causal mediation analysis (Imai et al.). The a and b paths represent the indirect path involving insurance type. The a path shows the coefficient for the association of race to insurance type based on a linear regression model adjusting for covariates (reading level, stroke severity and health literacy). The b path shows the coefficient for the association of insurance type to neurocognitive function when included in a multivariable regression model along with other variables.

*p < .01, **p < .001.