James M. Curran

Works (6)

Updated: July 5th, 2023 16:02

2000 journal article

Conditional genotypic probabilities for microsatellite loci

Genetics, 155(4), 1973–1980.

By: J. Graham, J. Curran & B. Weir

Source: NC State University Libraries
Added: August 6, 2018

2000 journal article

Evaluating the statistical significance of single band profiles in VNTR analyses

Science and Justice, 40(1), 27–31.

By: J. Buckleton, J. Curran & C. Basten

Source: NC State University Libraries
Added: August 6, 2018

1999 personal communication

Commentary on Koons RD, Buscaglia J. The forensic significance of glass composition and refractive index measurements. J Forensic Sci 1999;44(3): 496-503.

By: J. Curran, J. Buckleton & C. Triggs

Source: NC State University Libraries
Added: August 6, 2018

1999 journal article

Genetic matches and the logic of the law

GENETICA, 105(2), 211–213.

By: J. Curran n, B. Robertson & G. Vignaux*

author keywords: DNA; statistics; interpretation; evidence
MeSH headings : Criminal Law; DNA Fingerprinting; Forensic Medicine; Genotype; Logic
TL;DR: Current methods in forensic DNA 'identification' are inadequate because the commercial kits commonly used in forensic practice do not detect the true genotype, but rather a genotype based on convenient categorization, and statistics attached to such categorizations are invalid. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

1999 journal article

Interpreting DNA mixtures in structured populations

Journal of Forensic Sciences, 44(5), 987–995.

By: J. Curran, C. Triggs, J. Buckleton & B. Weir

Source: NC State University Libraries
Added: August 6, 2018

1999 journal article

The robustness of a continuous likelihood approach to bayesian analysis of forensic glass evidence

FORENSIC SCIENCE INTERNATIONAL, 104(2-3), 91–103.

By: J. Curran n, J. Buckleton * & C. Triggs*

author keywords: glass analysis; statistics; Bayesian; robustness; sensitivity
TL;DR: This paper demonstrates the robustness of the Bayesian approach to deviations from the statistically convenient notion of normality of the measurements. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

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