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These models were used to measure the interannual variability explained by the variables, calculated as 1 minus the ratio between the variance of the random term in the complete model and the variance of the random term in the model without prevention explanatory variables and in the model adjusted for age and sex.
Unidentified risk factors are also contributing to the higher HIV incidence among rural men in addition to the identified risk factors, as only 34% of the incidence variability was explained by the variables used in the multivariate model.
First, the R squared value of 0.42 indicates that approximately half the variability is still not fully explained by the variables that are contained in our model.
Among women the only identified risk factor that was more common among rural than urban women was tobacco use, 4.6% and 2.7%, respectively, suggesting that unidentified risk factors are contributing to the higher HIV incidence among rural women; related to this only 24% of the incidence variability among women was explained by the variables used in the multivariate model.
The amount of variability in the vitality score explained by the variables we included was very small [adjusted R2 values for the 4 models were: 0.037, 0.054, 0.004, 0.034 respectively].
The r2 was used as a measure of the variability in the maximum Bedside PEWS score that was explained by the variables evaluated.
Similar(18)
The variability in these numbers can be explained by the variable definitions used to determine 'inappropriateness'inappropriateness
The variability in the difference in SUV could be explained by the variable amounts of motion that lung lesions can display.
A large portion of lipoprotein (a) concentration is explained by the variable number of kringle domains at the apo(a) gene.
This can be explained by the variable activity of these alkaloid extracts on the chloroplast.
This can be explained by the variable involvement of structures such as the choroid, RPE, and the photoreceptors by the disease process as the lesions of BSCR evolve.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com