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Mean variable values for each network were examined to determine the predominant threat for the network.
The trend creates the larger difference in mean variable values as the number of measurements increases.
The "noisy" raw measurements mask these dissimilar trajectories which results in clustered mean variable values for progressing or nonprogressing instances.
P values for linear trend were calculated to assess whether there were linear trends in the mean variable values across ranked categories of sperm PAH-DNA adducts levels.
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Because the GEE approach is concerned with population-averaged (i.e. the mean response) variable, we expect covariate coefficients to be greater in magnitude when the difference between the mean variable value for progression and nonprogression instances increases.
Standard error of mean (SEM) values are recorded in Table 6, and values for variable error are recorded in Table 7. Mean variable error values were all less than 2.5 degrees.
For continuous variables mean values ± standard deviation, for ordinally scaled variables numbers and corresponding percentages were listed.
For normally distributed continuous variables, mean values, standard deviations (SD) and 95% confidence intervals (CI) of the mean are shown.
For continuous variables, mean values between two groups were compared by unpaired Student t test for normally distributed variables and Mann-Whitney U test for skewed variables.
For all continuous variables, mean values (and SD) and range were calculated using the SPSS software package (SPSS 12.0 Inc, Chicago, IL USA); for dichotomic variables, frequencies were reported.
Continuous variables mean values were compared by 't' tests.
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