000			02298nam a2200289 4500
001			394114
010			_a9780128024027
090			_a394114
100			_a20160927d2016 y0pory50 ba
101			_aeng
200			_aRelationship inference with Familias and R _estatistical methods in forensic genetics _fThore Egeland, Daniel Kling, Petter Mostad
205			_a1st ed.
210			_aAmsterdam [etc.] _cAcademic Press ; Elsevier _d2016
215			_aix, 243 p. _d24 cm
330			_aPreface. 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.
606			_aGENÉTICA _9238061
606			_aCIÊNCIA FORENSE _9321508
606			_aMÉTODO ANALÍTICO _9349883
606			_aESTATÍSTICA _9232358
700			_aEGELAND _bThore _9358217
701			_aKLING _bDaniel _9358218
701			_aMOSTAD _bPetter _9358219
955			_xCompra (57,56 €)