However, we believe that the effort required to identify false positives in secondary analysis is preferable to the loss represented by false negatives in misguided primary analysis.
From a database of patient interviews (n = 177) from six diverse CAM studies, 150 interviews were identified for secondary analysis in which individuals spontaneously discussed unexpected changes associated with CAM.
The SNPs that we identify in this secondary analysis thus a) display t values with p<0.05 significance in one abuser vs control comparison, b) cluster, so that at least four of these positive SNPs lie within 10kb of each other in this abuser vs control comparison, c) identify the same genes as clustered positive SNPs from the other sample (Table 2, legend, and Table S1).
The 58 mutants identified in at least two of the three screens were included in secondary analysis.
Due to an observed linearithmic speedup through the use of a high-performance computing (HPC) framework for the majority of tasks, poor quality data was identified prior to secondary analysis in significantly less time on the HPC framework than the same data run using alternative parallelization strategies on a single server.
The secondary cluster, identified in crude analysis in the north-eastern part of Bretagne (Saint-Malo area), disappeared after adjustment for age and sex.
Three gene families identified in this analysis are directly involved in secondary cell wall synthesis.
Trial characteristics associated with the presence of at least one patient-important outcome (primary or secondary outcome) were identified in univariate analysis, using Chi-square test or Fisher's test for categorical variables and Student's test or Wilcoxon's test for continuous variables.
When there was adjustment for risk factors identified in the univariate analysis, predictors of the secondary renal outcome in CVD BL+ patients were RHR (SHR = 1.04; P = 0.001) and renal disease at baseline (Table 3), whereas RHR did not contribute at all to renal outcomes in CVD BL− patients.
Eight additional papers were identified in the secondary search.
We do not wish to assume a similar distribution based on changes in the PICU population over the past decade, and study limitations identified in our previous secondary data analysis; therefore, we will examine the data and determine whether non-linear terms or transformations are needed in the regression models.
