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The Wald test was used to test contrasts between the coefficients for the different levels of renal remission (active disease, partial remission and complete remission).
This approach permitted the automatic analysis and view of cortical surface and a significant (threshold of p<0.05) t-test contrast between TNP and HC groups, which could be mapped back from the average brain to each individual brain (Figure 1).
The primary analysis will be to test the contrast between simvastatin addition and control at 12 months of treatment.
While the hypothesis was supported by only the SPIR ratings, the results from Table 3 suggested that this was partly due to the low power of small sample sizes to test the contrast between intervention participants and controls.
We also test for modification of the genetic effect by smoking by testing the contrast between the estimated parameters of model I for never or light smokers versus for moderate or heavy smokers.
We first tested the contrast between hemodynamic responses to the improbable two CHF outcome versus the probable two CHF outcome.
Next, we took the 2 ROIs found in the homographs versus control contrast of the GLD task and tested the contrast between homographs and controls in these ROIs using the data of the ELD task.
For each SNP combination, the method computes a statistic test contrasting the genotypic (or haplotypic) distribution between cases and controls.
We calculated a t-test at each node, testing whether the contrast between the response to faces versus objects (mean β for face responses mean β for object responses) was significant.
As shown in Figure 3a, along the first axis, the test demonstrates the contrast between high Ki67/p53+ tumors (upper right quadrant) and LA low Ki67/p53- tumors (lower left quadrant), suggesting that these two groups represent biopathologically and statistically distinct entities as their defining parameters appear close to each other directly, far from the origin, and diagonally opposite.
The gene set can be tested in any contrast between the coefficients, not necessarily a simple comparison between two groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com