Biostatistical Genetics and Genetic Epidemiology

Dr. Robert C. Elston is a statistical geneticist and distinguished professor emeritus at Case Western Reserve University. He was born in London, England. He is one of the eponyms of the Elston-Stewart algorithm. Jane M. Olson is the editor of Biostatistical Genetics and Genetic Epidemiology, published by Wiley.

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