Logistic regression analysis of biomarker data subject to pooling and dichotomization

Statistics in Medicine

Volumn 31, Issue 22, 2012, Pages 2473-2484

  Zhang, Z ^a   Liu, A ^a   Lyles, R H ^b   Mukherjee, B ^c  

^a EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

^b EMORY UNIVERSITY   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Case control; Cohort; Cost efficiency; Group testing; Measurement error; Missing covariate

Indexed keywords

BIOLOGICAL MARKER; GENOMIC DNA;

ARTICLE; COLORECTAL CANCER; COST EFFECTIVENESS ANALYSIS; DATA ANALYSIS; DICHOTOMIZATION; GENETIC ASSOCIATION; GENETIC SUSCEPTIBILITY; GENOTYPE; HUMAN; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; OUTCOME ASSESSMENT; POLYMERASE CHAIN REACTION; POOLING BASED STRATEGY; POPULATION BASED CASE CONTROL STUDY; REGRESSION ANALYSIS; RESTRICTION FRAGMENT LENGTH POLYMORPHISM; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; STATISTICAL PARAMETERS; STUDY DESIGN;

BIOLOGICAL MARKERS; COLORECTAL NEOPLASMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; LOGISTIC MODELS; POLYMORPHISM, SINGLE NUCLEOTIDE; PROSPECTIVE STUDIES;

EID: 84866181951     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4367     Document Type: Article

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