Generalized additive models and Lucilia sericata growth: Assessing confidence intervals and error rates in forensic entomology

Journal of Forensic Sciences

Volumn 53, Issue 4, 2008, Pages 942-948

  Tarone, Aaron M ^a,b   Foran, David R ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Blow fly; Calliphoridae; Confidence interval; Development; Forensic entomology; Forensic science; Generalized additive model; Postmortem interval

Indexed keywords

ANIMAL EXPERIMENT; CONFERENCE PAPER; CONFIDENCE INTERVAL; DATA ANALYSIS; DEVELOPMENTAL STAGE; FEEDING; FLY; LARVA; LIFE CYCLE; LUCILIA SERICATA; NONHUMAN; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; TEMPERATURE DEPENDENCE; WEIGHT; ZOOLOGY;

ANIMALS; CONFIDENCE INTERVALS; DIPTERA; ENTOMOLOGY; FORENSIC ANTHROPOLOGY; MODELS, BIOLOGICAL;

EID: 47349107089     PISSN: 00221198     EISSN: 15564029     Source Type: Journal    
DOI: 10.1111/j.1556-4029.2008.00744.x     Document Type: Conference Paper

References (17)

1. Saks MJ, Koehler JJ. The coming paradigm shift in forensic identification science. Science 2005 309 (5736 892 5.
2. Greenberg B. Flies as forensic indicators. J Med Entomol 1991 20 (5 565 77.
3. Grassberger M, Reiter C. Effect of temperature on Lucilia sericata (Diptera: Calliphoridae) development with special reference to the isomegalen- and isomorphen-diagram. For Sci Int 2001 120 : 32 6.
4. Kamal AS. Comparative study of thirteen species of sarcosaprophagous Calliphoridae and Sarcophagidae (Diptera) I. Bionomics. Ann Entomol Soc Am 1958 51 : 261 70.
5. Wells JD, Kurahashi H. Chrysomya megacephala (Fabricius) (Diptera: Calliphoridae) development: rate, variation, and the implications for forensic entomology. Jpn J Sanit Zool 1994 45 (4 303 9.
6. Anderson GS. Minimum and maximum development rates of some forensically important Calliphoridae (Diptera). J Forensic Sci 2000 45 (4 824 32.
7. Wells JD, Lamotte LR. Estimating maggot age from weight using inverse prediction. J Forensic Sci 1995 40 (4 585 90.
8. Hastie TJ, Tibshirani RJ. Generalized additive models. Boca Raton : Chapman and Hall/CRC, 1990.
9. Wood SN. Generalized additive models: an introduction in R. Boca Raton : Chapman and Hall/CRC Taylor and Francis Group, 2006.
10. Moe SJ, Kristoffersen AB, Smith RH, Stenseth NC. From patterns to processes and back: analyzing density-dependent responses to an abiotic stressor by statistical and mechanistic modeling. Proc R Soc Lond B Biol Sci 2005 272 : 2133 42.
11. Hall DG. The blow flies of North America. Baltimore, MD : Monumental Printing Co., 1948.
12. Gorham JR. Insect and mite pests in food: an illustrated key. Beltsville, MD : U.S. Department of Agriculture, Agriculture Handbook Number 655, 1987.
13. Tarone AM, Foran DR. Components of plasticity in the development of a Michigan population of Lucilia sericata. J Med Ent 2006 43 (5 1023 33.
14. Rogina B, Helfand SL. Regulation of gene expression is linked to life span in adult Drosophila. Genetics 1995 141 : 1043 8.
15. Rogina B, Benzer S, Helfand SL. Drosophila drop-dead mutations accelerate the time course of age-related markers. PNAS 1997 94 : 6303 6.
16. R Development Core Team. R: a language and environment for statistical computing. Vienna, Austria : R Foundation for Statistical Computing, 2004. ISBN 3-00051-00-3. Available at: http://www.R-project.org. Accessed on April 28, 2008.
17. Mansson RA, Frey JG, Essex JW, Welsh AH. Prediction of properties from simulations: a re-examination with modern statistical methods. J Chem Inf Model 2005 45 : 1791 803.