Elston, RC 　著

内容

目次

Admixture in Human Populations Admixture Mapping Adoption Studies Age–of–Onset Estimation Akaike's Criteria Alternative Hypothesis Anticipation Ascertainment Association Association, Measures of Assortative Mating Attributable Risk Bayes' Theorem Bias Bias in Case– Control Studies Bioinformatics Blood Groups Bonferroni Inequalities and Intervals Bootstrap Method Candidate Gene Carcinogenesis Models Case–Cohort Case–Control Study Case–Only Gene Mapping Causation Cladistic Analysis Cohort Studies Collinearity Commingling Analysis Comparative Genomic Hybridization Complex Diseases Confidence Intervals and Sets Confounder Confounding Consistent Estimator Controls Correlated Binary Data Correlation Covariate Cox Regression Model Cumulative Incidence Diagnostics Discriminant Analysis, Linear Disease–Marker Association DNA Sequences Dummy Variables Elston–Stewart Algorithm EM Algorithm Eugenics Exclusion Mapping Expectation Experiment–Wise Error Rate Familial Correlations Family History Validation Family–Based Association for Quantitative Traits Family–Based Case–Control Studies Fixed Effects Founder Effect Frailty Frequency Matching Gene Gene Conversion Gene Expression Analysis Gene Frequency Estimation Gene–Environment Interaction General Linear Model Generalized Estimating Equations Generalized Linear Model Generalized Maximum Likelihood Genetic Correlations and Covariances Genetic Counseling Genetic Distance Genetic Epidemiology Genetic Heterogeneity Genome–Wide Significance Genotype Genotyping and Error–Checking Goodness of Fit Haplotype Analysis Hardy–Weinberg Equilibrium Heritability Heterozygosity Hidden Markov Models Hierarchical Models HLA System Human Genetics, Overview Human Genome Project Identity Coefficients Importance Sampling Inbreeding Incidence Rate Incidence–Prevalence Relationships Incident Case Information Information Matrix Interaction Isolated Populations Kin–Cohort Studies Kurtosis Lambda Criterion, Wilks' Level of a Test Liability Model Likelihood Likelihood Ratio Likelihood Ratio Tests Linear Regression, Simple Linkage Analysis, Model–Based Linkage Analysis, Model–Free Linkage Disequilibrium Linkage Information Content Logistic Regression, Conditional Loss of Heterozygosity Map Functions Marginal Likelihood Marginal Models Markers Markov Chain Monte Carlo Markov Chains Matched Analysis Matching Maximum Likelihood McNemar Test Mendel's Laws Meta–analysis Mixed Model in Segregation Analysis Molecular Epidemiology Monte Carlo Methods Multilocus (Gene ×Gene) Interaction Multiple Comparisons Multiplicative Model Multipoint Linkage Analysis Multivariate Linkage Analysis Multivariate Normal Distribution Multivariate Normality, Tests of Mutation Neural Networks Null Hypothesis Odds Ratio Ornstein–Uhlenbeck Process Overmatching P Value Parental Effects Parsimony Partial Likelihood Paternity Testing Path Analysis Pedigrees, Sequential Sampling Penetrance Pharmacogenetics Polygenic Inheritance Polymorphism Polymorphism Information Content Population Genetics Population–Based Study Power Transformations Prediction Prevalence Principal Components Analysis Profile Likelihood Protecting Privacy in Genetic Studies Pseudo–Likelihood Radiation Hybrid Mapping Random Effects Regression Regressive Models Relationship Testing Relative Odds Relative Risk Residuals Response Variable Risk Ratios Segregation Analysis, Classical Segregation Analysis, Complex Segregation Ratios Selection Bias Sensitivity Sequence Analysis Sequential Linkage Analysis Sex Ratio at Birth Simulated Annealing Simulation Skewness Software for Genetic Epidemiology Specificity Statistical Forensics Stratification Transformations Transition Probabilities Twin Analysis Twin Concordance Twin Registers Two–Phase Sampling Unbiasedness Univariate Response Validity and Generalizability in Epidemiologic Studies Variance Variance Component Analysis X–linkage Zygosity Determination