Not exact matches
Given that the (usually)
linear relationship is not assured to hold, I am concerned about an inference
procedure that relies on a
linear relationship that is selected in part because it looks strong in
models.
I have tried a simple anova
linear model using the lm
procedure in R taking the logs of the tree ring widths and using three factors: tree, age and year (a total of about 2874 parameters) and the program bailed out with the complaint» Reached total allocation of 957Mb: see help (memory.size)».
It looked like it worked until I tested it on a truncated data set against the lm (
linear models) regression
procedure and found a slight glitch.
procedures that... first infer a
linear relation (regression line) between ECS and variables... from
models and then use that
linear relation to constrain ECS given observations... can be strongly influenced by «bad»
models that are not consistent with the data but exert large leverage on the inferred slope of the regression line.
Hierarchical
linear modeling39 was used to examine intervention group differences in cortisol levels at waking and bedtime as well as in slope cortisol levels across the day, following analytic
procedures used previously.5 Hierarchical
linear modeling accounts for the nonindependence of repeated measures by
modeling multiple data points as nested within individuals, which further allows for missing data.
This
procedure extends the general
linear model to allow for analysis of repeated measurements.