What does LRA stand for?

Multiple linear regression analysis (ENTER method) was used to determine whether limitations determined from the WOMAC could be predicted from having primary or revision arthroplasty (coded 0 and 1 respectively) and adjusted a priori for age (years), gender (male 0, female 1), and Charnley classification (Group A 0, Group B or C 1).

00 Hardcover HQ1742 This study explains regional variations in the status of women in India through linear regression analysis of the combined effects of structural factors, such as patriarchy, kinship patterns, developmental levels, agricultural practices, and social stratification in all 25 states and 7 union territories.

A bivariate linear regression analysis describes the nature (eg, as ST scores increase, limb-loading measurements increase) and strength (eg, the degree of correlation between ST scores and limb-loading measurements) of a linear relationship between a continuous dependent variable and a continuous or discrete independent variable.

The tested hypothesis was evaluated through multiple linear regression analysis, after control for physical activity status, sex, age, medication intake, and several other potential confounders.

Both the multiple linear regression analysis and the fuzzy logic approach are used to estimate the friction coefficient of asphalt concrete road surfaces.

Multiple linear regression analysis showed that corrected QTd was independently related to age, left ventricular mass index (LVMI), AS and AD ([beta]=0.

According to results of a multiple linear regression analysis, among adolescents in the main partner group, being older and living with a partner were negatively associated with the proportion of sex acts that were protected, while using alcohol or marijuana, having positive attitudes toward condoms and perceiving that main partners would react positively toward condoms were associated with using condoms in a higher proportion of sex acts.

The authors conducted a univariate linear regression analysis on each of the climatological variables available (Figure 3) without taking into consideration the effects of lag period in the impact these variables had on dengue incidence.