… The purpose of this study was to use the optimal subset regression to screen the best modeling
factors to establish a predictive model of IR based on clinically readily available variables…

In this paper we try to define insulin resistance (IR) precisely for a group of Chinese women.
Our definition deliberately does not depend upon body mass index (BMI) or age, although in …

… Stepwise linear regression analyses were performed to predict HOMA-IR based on the six
… As has been described by other investigators, it is likely that the subset of insulin resistant, …

… subset of participants (n = 161) (20). The correlations between the slice-specific measures
and … Table 2 shows the results from the linear regression of insulin resistance variables on the …

… combinations of 9 subsets (development subsets) to develop … on the remaining 10th subset
(validation subset). The results … from the regression equation: fasting plasma insulin (in pmol/l…

… and these were then tested on the 10th subset. This result provides cross-… insulin resistant
in the sample) used in our study were 0·75 for insulin sensitive and 0·25 for insulin resistant. …

… regression … insulin resistance) with elevated CRP levels found in the present study could
potentially explain the association of hyperinsulinemia (another indicator of insulin resistance) …

… of the features of the insulin resistance syndrome (IRS) on … determined using multiple linear
regression models. There … with all six components were a subset of the 520 individuals with …

… Identification and quantification of insulin resistance requires … Since insulin resistance is a
multi-factorial condition, to … to determine where the insulin-resistance condition is encoded. …

… Multivariate regression analysis demonstrated significant interaction between age and …
of the distribution of BP status in the most insulin-resistant subset (SSPG tertile 3) of the two …