Accounting for measurement error in biomarker data and misclassification of subtypes in the analysis of tumor data

Statistics in Medicine

Volumn 35, Issue 30, 2016, Pages 5686-5700

  Nevo, Daniel ^a,b   Zucker, David M ^a   Tamimi, Rulla M ^b,c   Wang, Molin ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

classification; clustering; heterogeneity; measurement error; risk factor analysis

Indexed keywords

TUMOR MARKER; BIOLOGICAL MARKER;

ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CANCER RISK; CANCER SURVIVAL; CLUSTER ANALYSIS; DATA ANALYSIS; DIAGNOSTIC ERROR; MATHEMATICAL COMPUTING; MEASUREMENT ERROR; MEDICAL INFORMATION; RISK ASSESSMENT; RISK FACTOR; SIMULATION; STATISTICAL MODEL; COMPUTER SIMULATION; HUMAN; NEOPLASM; STATISTICAL BIAS; SURVIVAL ANALYSIS;

BIAS; BIOMARKERS; COMPUTER SIMULATION; HUMANS; LIKELIHOOD FUNCTIONS; NEOPLASMS; SURVIVAL ANALYSIS;

EID: 84983252341     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.7083     Document Type: Article

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