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The other previously suggested factor to be indicative for proteins with a large IER was a pI value between 6 and 8. Therefore the pI was determined for each protein and the proteins were divided into two groups based on their pI.
In essence these indices inform the researcher whether or not the suggested factor model is a good fit of the existing data.
It is the first study examining the fit indices of all suggested factor structure models of this scale in the two study populations simultaneously.
In this study, the identified risk factors included detectable pre-chemotherapy HBV DNA load (using real-time PCR measurement), the use of steroids, a diagnosis of lymphoma or breast cancer, another suggested factor being the use of anthracyclines.
In factor analysis parlance, factor loadings are the correlations between the variables and the two factors, as they are extracted by default, and communality refers to the proportion of each variable's variance explained by the suggested factor structure (or the proportion of variance due to common factors).
Hillers et al. did not conduct a factor analysis on their suggested factor structure, but obtained their structure by an extensive programme of item analysis and reduction.
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This included previously suggested factors like a pI between 6 and 8 [6] or a low number of histidines [9].
However, our analysis suggested factors that may have differentiated them.
Study population was the first of these suggested factors.
The suggested factors are presented below (new items marked with *).
Our analysis of measures of SES suggested factors that reflect material disadvantage may be most important.
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