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Biostatistical genetics and genetic epidemiology / editors, Robert C. Elston, Jane M. Olson, Lyle Palmer.

Holman Biotech Commons QH438.4.S73 B54 2002
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Format:
Book
Contributor:
Elston, Robert C., 1932-
Olson, Jane M.
Palmer, Lyle.
Series:
Wiley reference series in biostatistics
Language:
English
Subjects (All):
Genetics--Statistical methods--Encyclopedias.
Genetics.
Genetic epidemiology--Statistical methods--Encyclopedias.
Genetic epidemiology.
Genetics, Medical.
Epidemiology.
Statistics.
Genetics--Statistical methods.
Medical Subjects:
Genetics, Medical.
Epidemiology.
Genre:
Encyclopedias.
Physical Description:
xxiv, 831 pages : illustrations ; 26 cm.
Place of Publication:
Chichester, West Sussex, England ; New York, NY : Wiley, [2002]
Summary:
Human Genetics concerns the study of genetic forces in man. By studying our genetic make-up we are able to understand more about our heritage and evolution. Some of the original, and most significant research in genetics centred around the study of the genetics of complex diseases - genetic epidemiology. This is the third in a highly successful series of books based on articles from the Encyclopedia of Biostatistics. This volume will be a timely and comprehensive reference, for a subject that has seen a recent explosion of interest following the completion of the first draft of the Human Genome Mapping Project. The editors have updated the articles from the Human Genetics section of the EoB, have adpated other articles to give them a genetic feel, and have included a number of newly commissioned articles to ensure the work is comprehensive and provides a self-contained reference.
Contents:
Admixture in Human Populations 1
Admixture Mapping 5
Adoption Studies 6
Age-of-Onset Estimation 10
Akaike's Criteria 17
Alternative Hypothesis 18
Anticipation 19
Ascertainment 20
Association 28
Association, Measures of 29
Assortative Mating 34
Attributable Risk 36
Bayes' Theorem 51
Bias 52
Bias in Case-Control Studies 52
Bioinformatics 61
Blood Groups 69
Bonferroni Inequalities and Intervals 70
Bootstrap Method 75
Candidate Gene 83
Carcinogenesis Models 83
Case-Cohort 89
Case-Control Study 95
Case-Only Gene Mapping 109
Causation 111
Cladistic Analysis 114
Cohort Studies 120
Collinearity 134
Commingling Analysis 136
Comparative Genomic Hybridization 139
Complex Diseases 141
Confidence Intervals and Sets 143
Confounder 144
Confounding 145
Consistent Estimator 152
Controls 158
Correlated Binary Data 159
Correlation 171
Covariate 176
Cox Regression Model 176
Cumulative Incidence 189
Diagnostics 191
Discriminant Analysis, Linear 196
Disease-Marker Association 206
DNA Sequences 217
Dummy Variables 227
Elston-Stewart Algorithm 231
EM Algorithm 232
Eugenics 246
Exclusion Mapping 251
Expectation 253
Experiment-Wise Error Rate 253
Familial Correlations 255
Family History Validation 261
Family-Based Association for Quantitative Traits 264
Family-Based Case-Control Studies 267
Fixed Effects 275
Founder Effect 275
Frailty 277
Frequency Matching 284
Gene 285
Gene Conversion 285
Gene Expression Analysis 286
Gene Frequency Estimation 293
Gene-Environment Interaction 297
General Linear Model 299
Generalized Estimating Equations 299
Generalized Linear Model 311
Generalized Maximum Likelihood 324
Genetic Correlations and Covariances 327
Genetic Counseling 331
Genetic Distance 334
Genetic Epidemiology 336
Genetic Heterogeneity 340
Genome-Wide Significance 344
Genotype 347
Genotyping and Error-Checking 348
Goodness of Fit 352
Haplotype Analysis 361
Hardy-Weinberg Equilibrium 369
Heritability 371
Heterozygosity 372
Hidden Markov Models 374
Hierarchical Models 382
HLA System 385
Human Genetics, Overview 386
Human Genome Project 390
Identity Coefficients 395
Importance Sampling 398
Inbreeding 402
Incidence Rate 406
Incidence-Prevalence Relationships 406
Incident Case 409
Information 409
Information Matrix 411
Interaction 412
Isolated Populations 414
Kin-Cohort Studies 419
Kurtosis 424
Lambda Criterion, Wilks' 427
Level of a Test 429
Liability Model 430
Likelihood 435
Likelihood Ratio 440
Likelihood Ratio Tests 441
Linear Regression, Simple 444
Linkage Analysis, Model-Based 448
Linkage Analysis, Model-Free 460
Linkage Disequilibrium 472
Linkage Information Content 475
Logistic Regression, Conditional 479
Loss of Heterozygosity 486
Map Functions 491
Marginal Likelihood 495
Marginal Models 496
Markers 501
Markov Chain Monte Carlo 502
Markov Chains 509
Matched Analysis 515
Matching 518
Maximum Likelihood 523
McNemar Test 526
Mendel's Laws 527
Meta-Analysis in Human Genetics 529
Mixed Model in Segregation Analysis 537
Molecular Epidemiology 540
Monte Carlo Methods 547
Multilocus (Gene x Gene) Interaction 550
Multiple Comparisons 552
Multiplicative Model 559
Multipoint Linkage Analysis 560
Multivariate Linkage Analysis 564
Multivariate Normal Distribution 568
Multivariate Normality, Tests of 573
Mutation 577
Neural Networks 579
Null Hypothesis 583
Odds Ratio 585
Ornstein-Uhlenbeck Process 585
Overmatching 588
P Value 591
Parental Effects 595
Parsimony 600
Partial Likelihood 600
Paternity Testing 602
Path Analysis 606
Pedigrees, Sequential Sampling 619
Penetrance 621
Pharmacogenetics 622
Polygenic Inheritance 626
Polymorphism 632
Polymorphism Information Content 632
Population Genetics 633
Population-Based Study 640
Power Transformations 640
Prediction 642
Prevalence 643
Principal Component Analysis 643
Profile Likelihood 652
Protecting Privacy in Genetic Studies 655
Pseudo-Likelihood 657
Radiation Hybrid Mapping 661
Random Effects 665
Regression 666
Regressive Models 666
Relationship Testing 673
Relative Odds 678
Relative Risk 678
Residuals 679
Response Variable 687
Risk Ratios 687
Segregation Analysis, Classical 693
Segregation Analysis, Complex 696
Segregation Ratios 708
Selection Bias 709
Sensitivity 709
Sequence Analysis 710
Sequential Linkage Analysis 712
Sex Ratio at Birth 716
Simulated Annealing 719
Simulation 720
Skewness 725
Software for Genetic Epidemiology 726
Specificity 736
Statistical Forensics 737
Stratification 740
Transformations 741
Transition Probabilities 742
Twin Analysis 743
Twin Concordance 756
Twin Registers 759
Two-Phase Sampling 761
Unbiasedness 767
Univariate Response 769
Validity and Generalizability in Epidemiologic Studies 771
Variance 777
Variance Component Analysis 778
X-linkage 791
Zygosity Determination 797.
Notes:
Includes bibliographical references and indexes.
ISBN:
0471486310
OCLC:
48531492

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