This approach is thought to circumvent at least some of the problems raised with the case control design, such as demographic and others differences between case and control subjects that may be related to both alcohol consumption and likelihood of injury.
Sugar consumption doubled the likelihood of death from heart disease in the top fifth of the range studied.
Although a recent review of scientific research on whether palm oil consumption increases the likelihood of cardiovascular disease suggests there is no increased risk, those wanting to avoid palm oil in their diets can opt for palm oil free products.
Alcohol consumption increases the likelihood of several other disorders.
Antibiotic consumption increases the likelihood for an individual to develop bacterial resistance [ 1].
The RDD survey respondents were asked how much water was consumed in discrete glasses: < 1, 1 2, 3 5, and > 5. We took the number of respondents in each of these categories, made the categories contiguous (i.e., < 1, 1 2.5, 2.5 5, > 5), and estimated the mean and standard deviation of log consumption using maximum likelihood.
There was no significant difference in the likelihood of consumption of tiger-bone plasters between income groups ((F2,1769 = 0.42, p<0.65), but consumption of tiger-bone wine was only prevalent among wealthier consumers (F2,1769 = 0.24, p<0.02).
This review paper provides an overview of the risk factors of dietary acid consumption which increase the likelihood of developing severe erosive tooth wear.
This whole discussion of informative, likelihood, and consumption, makes assumptions about the goals being served; in particular, it's pretty user-focused.
The point that likelihood and consumption are different I do like (and that we ack Bilgic and Mooney in finding this as well); and I like the idea of trying to model them separately to support different goals even better (though that too has the "you need data" problem) — we come back to this in the discussion pretty effectively (I think).
