Weight of evidence for forensic DNA profiles

Weight of evidence for forensic DNA profiles / David J. Balding and Christopher D. Steele.

The use of DNA evidence is'widely used in the modern justice system. Statistical methodology plays a key role in ensuring that this evidence is collected, interpreted, analysed and presented correctly. This book is a guide to assessing DNA evidence and presenting that evidence in a courtroom se...

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Bibliographic Details
Main Authors: Balding, D. J. (Author), Steele, Christopher D. (Author)
Format: eBook
Language:English
Published: Chichester, United Kingdom ; Hoboken, NJ : Wiley, 2015.
Edition:Second edition.
Series:Statistics in practice.
Subjects:
Forensic genetics > Statistical methods.
DNA fingerprinting > Statistical methods.
DNA fingerprinting.
Population genetics.
MEDICAL > Forensic Medicine.
MEDICAL > Preventive Medicine.
MEDICAL > Public Health.
Population genetics
DNA fingerprinting
Forensic genetics > Statistical methods
Online Access:Click for online access
Table of Contents:
  • Cover; Title Page; Copyright; Contents; Preface to the second edition; Preface to the first edition; Chapter 1 Introduction; 1.1 Weight-of-evidence theory; 1.2 About the book; 1.3 DNA profiling technology; 1.4 What you need to know already; 1.5 Other resources; Chapter 2 Crime on an island; 2.1 Warm-up examples; 2.1.1 People v. Collins (California, 1968); 2.1.2 Disease testing: positive predictive value (PPV); 2.1.3 Coloured taxis; 2.2 Rare trait identification evidence; 2.2.1 The 'island' problem; 2.2.2 A first lesson from the island problem; 2.3 Making the island problem more realistic.
  • 2.3.1 The effect of uncertainty about p2.3.2 Uncertainty about N; 2.3.3 The effect of possible typing errors; 2.3.4 The effect of searches; 2.3.5 The effect of other evidence; 2.3.6 The effects of relatives and population subdivision; 2.4 Weight-of-evidence exercises; Chapter 3 Assessing evidence using likelihoods; 3.1 Likelihoods and their ratios; 3.2 The weight-of-evidence formula; 3.2.1 The population P; 3.2.2 Grouping the RX; 3.2.3 Application to the island problem; 3.3 General application of the formula; 3.3.1 Several items of evidence; 3.3.2 The role of the expert witness.
  • 3.4 Consequences for DNA evidence 3.4.1 Many possible culprits; 3.4.2 Incorporating the non-DNA evidence; 3.4.3 Relatives; 3.4.4 Laboratory and handling errors; 3.4.5 Database searches; 3.5 Derivation of the weight-of-evidence formula 3.5.1 Bayes' theorem; 3.5.2 Uncertainty about p and N; 3.5.3 Grouping the alternative possible culprits; 3.5.4 Typing errors; 3.6 Further weight-of-evidence exercises; Chapter 4 Profiling technologies; 4.1 STR typing; 4.1.1 Anomalies; 4.1.2 Contamination; 4.1.3 Low-template DNA (LTDNA) profiling; 4.2 mtDNA typing; 4.3 Y-chromosome markers.
  • 5.6.3 Three alleles 5.6.4 General proof via recursion; 5.7 Likelihood-based estimation of FST 5.8 Population genetics exercises; Chapter 6 Inferences of identity; 6.1 Choosing the hypotheses; 6.1.1 Post-data equivalence of hypotheses; 6.2 Calculating LRs; 6.2.1 The match probability; 6.2.2 Single locus; 6.2.3 Multiple loci: the 'product rule'; 6.2.4 Relatives of Q; 6.2.5 Confidence limits 6.2.6 Other profiled individuals; 6.3 Application to STR profiles; 6.3.1 Values for the pj; 6.3.2 The value of FST; 6.3.3 Choice of population; 6.3.4 Errors; 6.4 Application to haploid profiles.

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