Nutritional epidemiology in practice: learning from data or promulgating beliefs?

scientific article published on 5 December 2012

Nutritional epidemiology in practice: learning from data or promulgating beliefs? is …
instance of (P31):
editorialQ871232
scholarly articleQ13442814

External links are
P356DOI10.3945/AJCN.112.052472
P932PMC publication ID3522139
P698PubMed publication ID23221574

P50authorDavid B. AllisonQ5230948
Andrew W. BrownQ42348688
Michelle M Bohan BrownQ42410676
P2860cites workMisrepresentation of randomized controlled trials in press releases and news coverage: a cohort studyQ21144605
Biases in the interpretation and use of research resultsQ34304570
Pretumor progression: clonal evolution of human stem cell populationsQ35097394
Exploring the factors that affect blood cholesterol and heart disease risk: is dietary cholesterol as bad for you as history leads us to believe?Q36828842
Is everything we eat associated with cancer? A systematic cookbook reviewQ38063482
White hat bias: a threat to the integrity of scientific reportingQ45190526
The antidote to bias in researchQ48958001
Verdict on clinical trials registries? Good, but must do betterQ82932239
Strengthening the reliability and credibility of observational epidemiology studies by creating an Observational Studies RegisterQ84579360
P433issue1
P407language of work or nameEnglishQ1860
P921main subjectnutritional epidemiologyQ7070522
P304page(s)5-6
P577publication date2012-12-05
P1433published inAmerican Journal of Clinical NutritionQ7713500
P1476titleNutritional epidemiology in practice: learning from data or promulgating beliefs?
P478volume97

Reverse relations

cites work (P2860)
Q34335847Effect of diets differing in glycemic index and glycemic load on cardiovascular risk factors: review of randomized controlled-feeding trials
Q28607856Goals in Nutrition Science 2015-2020
Q52659608Issues with data and analyses: Errors, underlying themes, and potential solutions.
Q44275702Suicide in cancer patients within the first year of diagnosis
Q39178430The development of scientific evidence for health policies for obesity: why and how?
Q92992781What principles should guide interactions between population health researchers and the food industry? Systematic scoping review of peer-reviewed and grey literature

Search more.