Sentence examples for multivariable analysis results from inspiring English sources

Multivariable analysis results are shown in Table 3.

The multivariable analysis results showed that CD133 protein expression was not an independent prognostic factor (Table  4).

This may influence the multivariable analysis results, though it may also indicate a better selection of pNR cases.

Additional file 5: Multivariable analysis results adjusting for age, stage and grade in samples from the COGS dataset.

Multivariable analysis results are shown in Table 3: of cases, only 26.6% had none of the features present in this Table.

Multivariable analysis results showed that an age >60 years, less schooling, farming as an occupation, and a history of tick bites were independent risk factors for seropositivity (Table 2).

The multivariable analysis resulted in a six-term model: log of concurrent blood lead, site, maternal IQ, HOME Inventory, birth weight, and maternal education, which we consider our preferred model (Table 4).

Separate analyses were performed using the late samples as well as using all samples combinedby tertiles of each biomarker (for the early samples, sparse data led to numerical problems in the multivariable analysis, resulting in an unstable model); cut-offs for the tertiles were chosen using the distribution of the measures in the combined dataset.

Descriptive analysis is only presented for variables that were statistically significant (p <0.05) in multivariable analysis; additional results are presented as supplementary data (Additional file 1: Table S1).

Upon multivariable analysis the results were the better, the shorter the history of diabetes and the higher the HbA1c at baseline [ 36].

The small number of recurrences is another limitation that does not allow a statistical multivariable analysis and results in a low positive predictive value.