Artificial neural networks as statistical tools in epidemiological studies: Analysis of risk factors for early infant wheeze

Paediatric and Perinatal Epidemiology

Volumn 18, Issue 6, 2004, Pages 456-463

  Sherriff, Andrea ^a   Ott, Jurg ^b  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b ROCKEFELLER UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; HUMAN; INFANT; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MODEL; PHENOTYPE; PREDICTION; RISK FACTOR; VALIDATION PROCESS; WHEEZING;

ENGLAND; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; INFANT; MALE; NEURAL NETWORKS (COMPUTER); RESPIRATORY SOUNDS;

EID: 9144224238     PISSN: 02695022     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1365-3016.2004.00592.x     Document Type: Article

References (16)

1. Agresti A. An Introduction to Categorical Data Analysis. Wiley series in probability and statistics. New York: Wiley, 1996.
2. Bishop CM. Neural Networks for Pattern Recognition. Oxford: Clarendon Press, 1996.
3. Ripley BD. Pattern Recognition and Neural Networks. Cambridge: Cambridge University Press, 1999.
4. Hornick K, Stinchcombe M, White H. Multilayer feedforward networks are universal approximators. Neural Networks 1989; 2:359-366.
5. Falk CT, Gilchrist JM, Pericak-Vance MA, Speer MC. Using neural networks as an aid in the determination of disease status: comparison of clinical diagnosis to neural network predictions in a pedigree with autosomal dominant limb-girdle muscular dystrophy. American Journal of Human Genetics 1998; 62:941-949.
6. Jefferson MF, Pendleton N, Lucas SB, Horan MA. Comparison of a genetic algorithm neural network with logistic regression for predicting outcome after surgery for patients with nonsmall cell lung carcinoma. Cancer 1997; 79:1338-1342.
7. Lucek P, Hanke J, Reich J, Solla SA, Ott J. Multi-locus nonparametric linkage analysis of complex trait loci with neural networks. Human Heredity 1998; 48:275-284.
8. Lucek P, Ott J. Neural network analysis of complex traits. Genetic Epidemiology 1997; 14:1101-1106.
9. Schwarzer G, Vach W, Schumacher M. On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Statistics in Medicine 2000; 19:541-561.
10. Ennis M, Hinton G, Naylor D, Revow M, Tibshirani R. A comparison of statistical learning methods on the GUSTO database. Statistics in Medicine 1998; 17:2501-2508.
11. Tu JV, Weinstein MC, McNeil BJ, Naylor CD and the Sterring Committee of the Cardiac Care Network of Ontario. Predicting mortality after coronary artery bypass surgery: what do artificial neural networks learn? Medical Decision Making 1998; 18:229-235.
12. ALSPAC website: http://www.alspac.bris.ac.ukalspac.html
13. Sherriff A, Peters T, Henderson AJ, Strachan D, Golding J and the ALSPAC Study Team. Risk factor associations with wheezing patterns in children followed longitudinally from birth to 31/2 years. International Journal of Epidemiology 2001; 30:1473-1484.
14. SPSS for Windows, Rel. 9.0.0. Chicago, IL: SPSS, 1998.
15. Zell A, Mamier G, Vogt M, Mache N, Hubner R, Doring S, et al. SNNS: Stuttgart Neural Network Simulator. Version 4.1. Computer Software & Reference Manual. University of Stuttgart: Institute for Parallel and Distributed High Performance Systems, 1995.
16. Sarle WS, SAS Institute, Gary, NC, USA. ftp://ftp.sas.com/pub/neural