A meta-regression method for studying etiological heterogeneity across disease subtypes classified by multiple biomarkers

American Journal of Epidemiology

Volumn 182, Issue 3, 2015, Pages 263-270

  Wang, Molin ^a   Kuchiba, Aya ^a   Ogino, Shuji ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

causal inference; genomics; heterogeneity test; molecular diagnosis; omics; transdisciplinary epidemiology

Indexed keywords

B RAF KINASE; BIOLOGICAL MARKER; PROTEIN SERINE THREONINE KINASE; TUMOR MARKER;

BIOMARKER; CANCER; DISEASE; EPIDEMIOLOGY; ETIOLOGY; GENOMICS; HEALTH RISK; HETEROGENEITY; META-ANALYSIS; MOLECULAR ANALYSIS; PUBLIC HEALTH; REGRESSION ANALYSIS; SOFTWARE; TUMOR;

ARTICLE; CANCER INCIDENCE; CANCER RISK; CARCINOGENESIS; CASE CONTROL STUDY; COHORT ANALYSIS; COLORECTAL CANCER; COMPUTER PROGRAM; CPG ISLAND; DISEASE CLASSIFICATION; DNA METHYLATION; FOLLOW UP; GENE MUTATION; HUMAN; META REGRESSION METHOD; MICROSATELLITE INSTABILITY; MOLECULAR PATHOLOGY; PHENOTYPE; PROTO ONCOGENE; REGRESSION ANALYSIS; SMOKING; BIOSTATISTICS; CHEMISTRY; CLASSIFICATION; COLORECTAL NEOPLASMS; COMORBIDITY; DISEASES; EPIDEMIOLOGY; PROCEDURES; PROPORTIONAL HAZARDS MODEL; STATISTICAL MODEL;

BIOMARKERS; BIOMARKERS, TUMOR; BIOSTATISTICS; CASE-CONTROL STUDIES; CAUSALITY; COHORT STUDIES; COLORECTAL NEOPLASMS; COMORBIDITY; DISEASE; HUMANS; LOGISTIC MODELS; PROPORTIONAL HAZARDS MODELS; SMOKING;

EID: 84938801963     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwv040     Document Type: Article

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