The test for trend was restricted to alcohol drinkers and used a linear variable where each subject was assigned the median intake value for their category.
Using a linear model all variables showed significant negative relationships with GRper as indicated by the negative correlation coefficients (Table 2).
As another simple application, by using a linear change of variables, the following corollary is obtained: Let the function f satisfy the following difference equation: f(w+c)=alpha (w)f(w)+beta (w) in the complex plane.
The limit of detection for hsTnI is 1.9 ng/L, but observed values <1.9 ng/L were used in calculating tertile cut points and in analyses with Ln-hsTnI used as a linear variable.
Participants with a BNP concentration below the limit of detection were assigned a value of 19.9 ng/L for determination of tertile cut points and in analyses with Ln-BNP used as a linear variable.
In these models, the summed score is represented by y using a linear combination of predictor variables x j, where j represents several predicting variables 1, 2,..., p. It is assumed that no missing values are present for every observation.
If a time series presenting a hysteresis is filtered using a linear relationship between the variables, a spurious trend is obtained if the length of the time series does not include complete cycles.
For each site, we evaluated the significance of the differences in methylation levels between males and females using a linear model, where the dependent variable is the β value after logit transformation and sex is the independent variable.
The cluster size can be controlled by varying the principal parameters: the sputter power, flow of gasses, and the aggregate zone length (variable using a linear drive).
The cluster size can be adjusted by varying three main source parameters: the length over which the clusters aggregate (variable using a linear drive), the power to the magnetron, and the flow of the aggregation gases.
