> Walter Willett has a whole chapter on this subject in his book Nutritional > Epidemiology. It should be considered required reading before attempting to > model anything that has to do with diet.
Thanks this is a really good book, not just for ppl wanting to study nutrition but surveys in general as well as confounding and modifying by multivariables. (a simple guide) He has some really earth-moving examples of errors commited in the past. As an example one group tried to find a correlation between weight and disease as: disease=weight+blood pressure+heart rate+blood cholesterol and willett points out that they found no association because the implications of "weight" cannot be separated from its effects on heart rate etc. Anyway I'm currently going on the definition of "adjusted" for 1 2 and 3 as the following equation: adjusted variable=variable^-variable (where variable-hat represents the variable predicted by 1 2 and 3 in a multivariate equation and "variable" is just the actual variable.) ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =================================================================