Principal components analysis of diet and alternatives for identifying the combination of foods that are associated with the risk of disease: A simulation study

British Journal of Nutrition

Volumn 112, Issue 1, 2014, Pages 61-69

  Bakolis, Ioannis ^a   Burney, Peter ^b   Hooper, Richard ^c  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b NATIONAL HEART AND LUNG INSTITUTE   (United Kingdom)

^c QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Dietary patterns, Nutritional epidemiology; Logistic regression; Monte Carlo simulation; Principal components analysis

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; CALORIC INTAKE; COMPARATIVE STUDY; CONTROLLED STUDY; CORRELATION ANALYSIS; DISEASE ASSOCIATION; EXHAUSTIVE SINGLE FOOD ANALYSIS; FALSE DISCOVERY RATE; FEEDING BEHAVIOR; FOOD FREQUENCY QUESTIONNAIRE; FOOD INTAKE; HUMAN; NUTRITION; NUTRITIONAL ASSESSMENT; POWER OF A TEST; PRINCIPAL COMPONENT ANALYSIS; RISK; RISK ASSESSMENT; SAMPLE SIZE; SIMULATION; STATISTICAL ANALYSIS; DISEASE PREDISPOSITION; EATING HABIT; FOOD ANALYSIS; FOOD COMPOSITION; LOGISTIC REGRESSION ANALYSIS; MONTE CARLO METHOD; POWER ANALYSIS; PROPENSITY SCORE;

ADOLESCENT; ADULT; CHRONIC DISEASE; COMPUTER SIMULATION; DATABASES, FACTUAL; DIET; ENERGY INTAKE; FEMALE; FUNCTIONAL FOOD; GREAT BRITAIN; HEALTH PROMOTION; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; NUTRITION POLICY; NUTRITION SURVEYS; PRINCIPAL COMPONENT ANALYSIS; RISK FACTORS; YOUNG ADULT;

EID: 84902543476     PISSN: 00071145     EISSN: 14752662     Source Type: Journal    
DOI: 10.1017/S0007114514000221     Document Type: Article

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