02298nam a2200289 4500 394114 9780128024027 394114 20160927d2016 y0pory50 ba eng Relationship inference with Familias and R statistical methods in forensic genetics Thore Egeland, Daniel Kling, Petter Mostad 1st ed. Amsterdam [etc.] Academic Press ; Elsevier 2016 ix, 243 p. 24 cm Preface. Chapter 1: Introduction. 1.1 Using this book. 1.2 Warm-up examples. 1.3 Statistics and the law. Chapter 2: Basics. 2.1 Forensic markers. 2.2 Probabilities of genotypes. 2.3 Likelihoods and LRs. 2.4 Mutation. 2.5 Theta correction. 2.6 Silent allele. 2.7 Dropout. 2.8 Exclusion probabilities. 2.9 Beyond standard markers and data. 2.10 Simulation. 2.11 Several, possibly complex pedigrees. 2.12 Case studies. 2.13 Exercises. Chapter 3: Searching for relationships. 3.1 Introduction. 3.2 Disaster victim identification. 3.3 Blind search. 3.4 Familial searching. 3.5 Exercises. Chapter 4: Dependent markers. 4.1 Linkage. 4.2 Linkage disequilibrium. 4.3 Haplotype frequency estimation. 4.4 Programs for linked markers. 4.5 Exercises. Chapter 5: Relationship inference with R. 5.1 Using R. 5.2 Exercises. Chapter 6: Models for pedigree inference. 6.1 Population-level models. 6.2 Pedigree-level models. 6.3 Observational-level models. 6.4 Computations. 6.5 Exercises. Chapter 7: Parameter estimation and uncertainty. 7.1 Allele frequencies. 7.2 The Theta-correction parameter. 7.3 The Lambda model for haplotype frequencies. 7.4 Mutations and mutation models. 7.5 Other parameters. 7.6 Handling “uncertainty” in LRs. 7.7 Exercise. Chapter 8: Making decisions. 8.1 Some basic decision theory. 8.2 LR as a random variable. 8.3 Exercises. Glossary for non-biologists. Bibliography. GENÉTICA 238061 CIÊNCIA FORENSE 321508 MÉTODO ANALÍTICO 349883 ESTATÍSTICA 232358 EGELAND Thore 358217 KLING Daniel 358218 MOSTAD Petter 358219 Compra (57,56 €) 0 2022-06-06 PJ35847 426688 PJ PJ PJ135847 2022-06-06 0 57.00 MO Compra Requisitado. . 57,56 €