Marker selection by Akaike information criterion and Bayesian information criterion

Genetic Epidemiology

Volumn 21, Issue SUPPL. 1, 2001, Pages

  Li, W ^a   Nyholt, D R ^a  

^a ROCKEFELLER UNIVERSITY   (United States)

Author keywords

Akaike information criterion; Bayesian information criterion; Discriminant analysis; Identity by descent; Logistic regression; Model selection

Indexed keywords

ASTHMA; BAYES THEOREM; CONFERENCE PAPER; DISCRIMINANT ANALYSIS; GENE LOCUS; GENETIC MARKER; GENETIC MODEL; HUMAN; MAJOR CLINICAL STUDY; PROGENY; REGRESSION ANALYSIS; SIBLING;

EID: 0034787715     PISSN: 07410395     EISSN: None     Source Type: Journal    
DOI: 10.1002/gepi.2001.21.s1.s272     Document Type: Conference Paper

References (10)

1. A new look at the statistical model identification
2. Genome-wide approaches for identifying interacting susceptibility regions for asthma
3. Multiple trait nonparametric linkage regression
4. Design of artificial neural networks and its applications to the analysis of alcoholism data
5. Assessing risk factors of human complex diseases by Akaike and Bayesian information criteria
6. New stopping criteria for segmenting DNA sequences
7. Covariates in linkage analysis
8. Estimating the dimension of a model
9. A genome-wide search for linkage to asthma