Buch, Englisch, 200 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 447 g
Buch, Englisch, 200 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 447 g
ISBN: 978-0-470-86764-8
Verlag: Wiley
Assessing Weight-of-Evidence for DNA Profiles is an excellent introductory text to the use of statistical analysis for assessing DNA evidence. It offers practical guidance to forensic scientists with little dependence on mathematical ability as the book includes background information on statistics – including likelihood ratios – population genetics, and courtroom issues.
The author, who is highly experienced in this field, has illustrated the book throughout with his own experiences as well as providing a theoretical underpinning to the subject. It is an ideal choice for forensic scientists and lawyers, as well as statisticians and population geneticists with an interest in forensic science and DNA.
Autoren/Hrsg.
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Weitere Infos & Material
Preface xi
1 Introduction 1
1.1 Weight-of-evidence theory 1
1.2 About the book 3
1.3 DNA profiling technology 3
1.4 What you need to know already 4
1.5 Other resources 5
2 Crime on an island 7
2.1 Warm-up examples 7
2.1.1 Disease testing: Positive Predictive Value (PPV) 7
2.1.2 Coloured taxis 9
2.2 Rare trait identification evidence 10
2.2.1 The “island” problem 10
2.2.2 A first lesson from the island problem 11
2.3 Making the island problem more realistic 13
2.3.1 Uncertainty about p 14
2.3.2 Uncertainty about N 15
2.3.3 Possible typing errors 15
2.3.4 Searches 17
2.3.5 Other evidence 18
2.3.6 Relatives and population subdivision 19
2.4 Weight-of-evidence exercises 20
3 Assessing evidence via likelihood ratios 22
3.1 Likelihood ratios 22
3.2 The weight-of-evidence formula 24
3.2.1 Application to the island problem 25
3.2.2 The population P 25
3.3 General application of the formula 27
3.3.1 Several items of evidence 27
3.3.2 Assessing all the evidence 29
3.3.3 The role of the expert witness 30
3.4 Consequences for DNA evidence 31
3.4.1 Many possible culprits 31
3.4.2 Incorporating the non-DNA evidence 31
3.4.3 Relatives 33
3.4.4 Laboratory and handling errors 34
3.4.5 Database searches 35
3.5 Some derivations † 36
3.5.1 Bayes theorem for identification evidence 37
3.5.2 Uncertainty about p and N 38
3.5.3 Grouping the alternative possible culprits 39
3.5.4 Typing errors 40
3.6 Further weight-of-evidence exercises 40
4 Typing technologies 43
4.1 STR typing 44
4.1.1 Anomalies 46
4.1.2 Contamination 49
4.1.3 Low copy number (LCN) profiling 50
4.2 mtDNA typing 50
4.3 Y-chromosome markers 51
4.4 X-chromosome markers † 52
4.5 SNP profiles
