Analyzing genetic association studies with an extended propensity score approach

Statistical Applications in Genetics and Molecular Biology

Volumn 11, Issue 5, 2012, Pages

  Zhao, Huaqing ^a   Rebbeck, Timothy R ^b   Mitra, Nandita ^b  

^a CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Confounding; Genetic and non genetic covariates; Population stratification; Population based genetic association; Propensity scores; Susceptibility genes

Indexed keywords

ARTICLE; CONDITIONING; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC SUSCEPTIBILITY; GENOTYPE; GERM CELL TUMOR; HUMAN; POPULATION BASED CASE CONTROL STUDY; PROBABILITY; PROPENSITY SCORE; ALGORITHM; GENETIC MARKER; GENETICS; HUMAN GENOME; METABOLISM; NEOPLASM; STATISTICAL MODEL; STATISTICS; TESTICULAR GERM CELL TUMOR; TESTIS TUMOR;

NERVE PROTEIN; SIGNAL PEPTIDE; SPRY4 PROTEIN, HUMAN;

ALGORITHMS; GENETIC ASSOCIATION STUDIES; GENETIC MARKERS; GENOME, HUMAN; HUMANS; INTRACELLULAR SIGNALING PEPTIDES AND PROTEINS; MODELS, STATISTICAL; NEOPLASMS, GERM CELL AND EMBRYONAL; NERVE TISSUE PROTEINS; PROPENSITY SCORE; TESTICULAR NEOPLASMS;

EID: 84879227415     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.1515/1544-6115.1790     Document Type: Article

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