Cox proportional hazards models have more statistical power than logistic regression models in cross-sectional genetic association studies

European Journal of Human Genetics

Volumn 16, Issue 9, 2008, Pages 1111-1116

  van der Net, Jeroen B ^a   Janssens, A Cecile J W ^a   Eijkemans, Marinus J C ^a   Kastelein, John J P ^b   Sijbrands, Eric J G ^a   Steyerberg, Ewout W ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b ACADEMIC MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CARDIOVASCULAR RISK; CONTROLLED STUDY; CORONARY ARTERY DISEASE; CROSS-SECTIONAL STUDY; FAMILIAL HYPERCHOLESTEROLEMIA; FEMALE; GENE FREQUENCY; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC POLYMORPHISM; GENETIC RISK; GENETIC VARIABILITY; GENOTYPE; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; POWER ANALYSIS; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE;

COHORT STUDIES; COMPUTER SIMULATION; CORONARY DISEASE; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; HYPERLIPOPROTEINEMIA TYPE II; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, GENETIC; MULTICENTER STUDIES AS TOPIC; PROPORTIONAL HAZARDS MODELS; RETROSPECTIVE STUDIES;

EID: 50249168759     PISSN: 10184813     EISSN: 14765438     Source Type: Journal    
DOI: 10.1038/ejhg.2008.59     Document Type: Article

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