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Christopher M. Triggs
Researcher at University of Auckland
Publications - 54
Citations - 1841
Christopher M. Triggs is an academic researcher from University of Auckland. The author has contributed to research in topics: Population & Normalization (statistics). The author has an hindex of 21, co-authored 53 publications receiving 1699 citations. Previous affiliations of Christopher M. Triggs include Plant & Food Research.
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BookDOI
Forensic DNA Evidence Interpretation
TL;DR: The Frequentist Approaches Bayesian Approaches Statistical Evaluation of Mixtures Low Copy Number and Interpretation Issues Associated with DNA Databases are discussed.
Journal ArticleDOI
Eating quality standards for apples based on consumer preferences
TL;DR: In this paper, the authors used a mixture of destructive and non-destructive measurements of texture and taste to identify categories of apples that achieved consumer acceptability levels from 43% to 90%.
Journal ArticleDOI
Interpreting DNA mixtures
Bruce S. Weir,Christopher M. Triggs,L. Starling,L. I. Stowell,Kevan A. J. Walsh,John Buckleton +5 more
TL;DR: The interpretation of mixed DNA stains is explained in the context of likelihood ratios, and includes the "2p" modification suggested by the 1996 NRC report.
Journal ArticleDOI
Interpreting DNA mixtures in structured populations.
TL;DR: DNA profiles from multiple-contributor samples are interpreted by comparing the probabilities of the profiles under alternative propositions, and membership of the same subpopulation implies a relationship from a shared evolutionary history, and this effect has been incorporated into the probabilities.
Journal ArticleDOI
Dietary factors in chronic inflammation: food tolerances and intolerances of a New Zealand Caucasian Crohn's disease population.
Christopher M. Triggs,Karen Munday,Rong Hu,Alan G. Fraser,Richard B. Gearry,Murray L. Barclay,Lynnette R. Ferguson +6 more
TL;DR: The wide range of detrimental items suggests that dietary maintenance of remission is likely to be difficult, and to exclude a substantial number of foods.