Sentence examples for months linear from inspiring English sources

To determine which self-reported co-existing conditions and patient characteristics predicted change in QOL after five months, linear regression analysis was used.

Likewise, improvement in disability at 9 15 months could be predicted by the improvement in severity of dystonia at 9 15 months (linear regression, corr. r = 0.50, F = 15.0, P < 0.005).

Prior known important predictors, general health in the past 12 months (linear with good = 0, normal = 1, bad = 2), "knowing the doctor" (not knowing the doctor well/neutral = 0, quite well/very well = 1), self-reported consultation time length (mean centred), and the nature of the problem ('New Problem', 'Old Problem' and 'Both new and old problem') were modelled as independent variables.

They grow normally for 3 to 6 months, but linear growth rates decelerate thereafter.

Comparisons of this version, including new algorithms or algorithm linkages, with the earlier GWLF versions, show that all the new algorithms improve model accuracy in low-flow months; the linear function approach linking the leakage process has the best effect.

Plasma COP levels correlated slightly with increasing age from 1 to 9 months old (linear regression analysis; r = 0.1, P < 0.049).

Thus, we can examine the time course (0, 6, and 12 months) as linear or quadratic over the first three measurements.

Decreasing fat body mass and decreasing BMI were associated with increasing BNP at 12 and 24 months by linear mixed-effects model analysis (P = 0.01 and P = 0.02, respectively, at 12 months; and P = 0.01 for both covariates at 24 months).

Kendall tau correlations assessed the correlation between the dichotomous variables (return to 'normal' activities) and RT3 VM/hr/wk at baseline and 3 months Simple linear regression was used to assess the unadjusted relationship between PA and PA change and the two main outcome measures ΔRMDQ and RMDQ at 3 months.

Association of change in PPS with outcomes of depressive symptoms was analyzed based on mean KUSTA scores (mean of items mood, activity, tension/relaxation, sleep) and achievement of a 50% reduction in the total IDS-C score after 6 months using linear and logistic regression models, respectively.

In the study period from January 2002 to December 2011 (120 months), a linear time trend was found to provide the best description of the mean monthly number of MRSA cases in Health Region East, and was marginally better compared to the power function fit and the exponential fit.