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Three case studies demonstrate the utility of the Bio-LDA model, including association predication, association search and connectivity map generation.
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First, the models (basic models) including associations between family background, school career and educational level were fitted.
To control for age differences between cases and controls, all model estimates (including associations with single risk factors) were therefore adjusted for age.
Given that pre-30S and pre-50S particles accumulate during lamotrigine stress, a bacterial model may include association of two immature particles prior to maturation of the functional centers within the 30S and 50S subunits.
The spatiotemporal model also generated several statistically significant associations that were not observed in the spatial model, including significant positive associations between abdominal wall defects and PM10 and PM2.5, and significant negative associations for ventricular septal defects and PM10, PMcoarse, and PM2.5.
The half-life of the antibody response was analysed in a repeated measurements analysis using log-linear regression model including adjusting for associations between multiple data points from the same subjects.
When we fit a multivariate model including the three main associations shown in Table 1, we found that physician experience was associated with higher rates of plasma HIV-1 RNA viral load suppression (AHR = 1.23 per 100 patients enrolled, 95% CI: 1.07-1.40, p-value = 0.003) after adjustment for Downtown Eastside residence, methadone maintenance therapy and daily cocaine injection.
Their model includes fostering associations between research and regular undergraduate academic courses, creating and disseminating biomathematics teaching and learning modules, and enhancing learning community support at the interface of mathematics and biology.
Finally, we estimated models that included associations between risk status and youth reports of depressive symptoms in a multiple regression model in SPM predicting striatal response during reward anticipation and outcome.
Multivariate analysis was then performed using the Cox logistic regression model including variables that showed significant associations with the outcome in the bivariate analyses (duration of symptoms) and variables that from previous research have been identified as probable predictors (level of education and clinical depression).
**: significant at P < 0.01, *: significant at P < 0.05, ns: not significant For all association analyses the model including population structure (two subgroups referred to as 'row'), 'row number' and 'origin' was applied.
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