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. 2015 Jan 15;10(1):e0116874. doi: 10.1371/journal.pone.0116874

Figure 3. Model-based Prediction of the Serial Digit Learning Test Illustrating the Interaction of Gender and Race-Ethnicity with H. pylori and CagA.

Figure 3

Panel A presents model-based predictions (Table 5, Model 1) of the interaction of gender with H. pylori and CagA on the Serial Digit Learning Test (SDL) controlling for latent toxoplasmosis, age, race-ethnicity, PIR, education, health, and hemoglobin. Higher values indicate poorer cognitive function on SDL. Panel B presents model-based predictions (Table 5, Model 2) of the interaction of race-ethnicity with H. pylori and CagA on the Serial Digit Learning Test (SDL) controlling for latent toxoplasmosis, age, gender, PIR, education, health, and hemoglobin. Higher values indicate poorer cognitive function on SDL.