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The use of covariates in affected sib pair analyses
J. P. Rice
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute of Clinical and Translational Sciences (ICTS)
Siteman Cancer Center
DBBS - Human and Statistical Genetics
DBBS - Biomedical Informatics and Data Science
Division of Addiction Science, Prevention, and Treatment Research
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Keyphrases
Affected Sib-pair
100%
Affected Siblings
50%
Alcoholism
50%
Association Study
50%
Collaboration Study
50%
Complex Traits
50%
Conditional Analysis
50%
Gene Location
50%
Genotype
50%
Haplotype Sharing
50%
Linkage Analysis
50%
Linkage Method
50%
Logistic Regression
50%
Marker Data
50%
Meta-analysis
100%
Multiple Datasets
50%
Multiple Parallel
50%
Multipoint
50%
Overall Test
50%
Parallel Analysis
50%
Phenotype Definition
50%
Phenotypic Heterogeneity
50%
Sib Pairs
50%
Sib-pair Analysis
100%
Sibling Pairs
50%
Study Heterogeneity
50%
Susceptibility Genes
50%
Computer Science
Association Study
100%
Basic Strategy
100%
Linkage Method
100%
Logistic Regression
100%
Multiple Data Set
100%
Susceptibility Gene
100%
Biochemistry, Genetics and Molecular Biology
Allele
50%
Gene Linkage
100%
Gene Location
50%
Genetics
50%
Haplotype
50%
Linkage Analysis
50%
Mathematics
Conditionals
25%
Covariate
100%
Logistic Regression
25%
Meta-Analysis
50%
Parallel Analysis
25%
Probability Theory
25%
Agricultural and Biological Sciences
Allele
50%
Haplotype
50%
Meta-Analysis
100%