Conditional and unconditional simulation of healthy patients' visual fields

Biometrical Journal

Volumn 46, Issue 4, 2004, Pages 404-419

  Ibanez M V ^a   Simo A ^a  

^a UNIVERSITAT JAUME I   (Spain)

Author keywords

Conditional and unconditional simulation; Perimetry; Spatio temporal modeling

Indexed keywords

CONDITIONAL SIMULATIONS; DATA SET; OCULAR ILLNESS; PERIMETRY; SIMULATION PROCEDURES; SPACE AND TIME; SPATIO-TEMPORAL MODELS; UNCONDITIONAL SIMULATIONS; VISUAL FIELDS;

OPHTHALMOLOGY;

EID: 26844561577     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/bimj.200310037     Document Type: Article

References (27)

1. Bengtsson, B., Olsson, J., Heijl, A. and Rootzen, H. (1997). A new generation of algorithms for computerized threshold perimetry, SITA. Acta Ophtalmologica 76, 368-375.
2. Bengtsson, B., Heijl, A. and Olsson, J. (1998). Evaluation of a new threshold visual field strategy, SITA, in normal subjects. Acta Ophtalmologica Scandinavica 76, 165-169.
3. Bengtsson, B. and Heijl, A. (1998). Evaluation of a new perimetric threshold strategy, SITA, in patients with manifest and suspect glaucoma. Acta Ophtalmologica Scandinavica 76, 268-272.
4. Vesti, E., Spry, P., Chauhan, B. and Johnson, C. (2002). Sensitivity differences between real-patient and computer-simulated visual fields. Journal of Glaucomka 11, 35-45.
5. Johnson, C. and Shapir, L. (1989). A comparison of MOBS and staircase test procedures in autmated perimetry. Journal of the Optical Society of America Technology 7, 98-102.
6. Shapiro, L. and Johnson, C. (1990). Quantitative evaluation of manual kinetic perimetry using computer simulation. Applied Optics 29, 1445-1450.
7. Shapiro, L., Johnson, C. and Kennedy, L. (1998). KRAKEN: A computer simulation procedure for static, kinetic, suprathreshold static and heuristic perimetry, in: VIII International Visual Field Symposium, Documenta Ophtalmologica Proceeding Series, in press, Vancouver B.C.
8. Turpin, A., McKendrick, A., Johnson, C. and Vingrys, A. (2002). Development of efficient threshold strategies for frequency doubling technology perimetry using computer simulation. Investigative Ophthalmology & Visual Science 43, 322-331.
9. Spry, P., Bates, A., Johnson, C. and Chauhan, B. (2000). Simulation of longitudinal threshold visual field data. Investigative Ophthalmology & Visual Science 41, 2192-2200.
10. Ibánez, V. and Simó, A. (2003). Spatio-temporal Modelling of Perimetric Test Data, Tech. Rep. 55. Department of Mathematics, University Jaume I. Castellón, Spain.
11. Hastie, T. and Tibshirani, R. (1990). Generalized Additive Models, Vol. 43. Chapman & Hall (Monographs on Statistics and Applied Probability).
12. Diggle, P., Liang, K. and Zeger, S. L. (1994). Analysis of Longitudinal Data, No. 13. Oxford Statistical Science Series.
13. Matérn, B. (1980). Spatial Variation, 2nd Edition, Lecture Notes in Statistics. Springer-Verlag, New York, first edition published in Meddelanden fran Statens Skogsforskningsinstitut, Band 49, No. 5, 1960.
14. Stein, M. (1999). Interpolation of Spatial Data. Springer-Verlag, New York.
15. Kelsall, J. and Diggle, P. (1998). Spatial variation in risk of disease: a nonparametric binary regression approach. Applied Statistics 47, 559-573.
16. Wackernagel, H. (1998). Multivariate Geostatistics, 2nd Edition. Springer-Verlag, New York.
17. Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press.
18. Cressie, N. (1993). Statistics for Spatial Data. Wiley Series in Probability and Mathematical Statistics.
19. Schalter, M. (1999). Introduction to Positive Definite Functions and to Unconditional Simulation of Random Fields, Tech. Rep. St-99-10. Department of Mathematics and Statistics. Faculty of Applied Sciences, Lancaster University, UK.
20. Lantuéjoul, C. (2002). Geostatistical Simulation, Models and Algorithms. Springer-Verlag.
21. de Fouquet, G. (1993). Simulation conditionelle de fonctions aléatoires: Cas gaussien stationnaire et schéma linéaire. Technological Reports, Cours C-151, Ecole des Mines de Paris.
22. Shinozuka, M. and Jan, C. (1972). Digital simulation of random processes and its applications. Journal of Sound and Vibration 25, 111-128.
23. Matheron, G. (1998). The intrinsec random functions and their applications. Advances in Applied Probability 5, 439-468.
24. Diggle, P. (1983). Statistical Analysis of Spatial Point Patterns. Academic Press.
25. Davison, A. and Hinkley, D. (1997). Bootstrap Methods and Their Applications. Cambridge University Press.
26. Journel, A. (1974). Geostatistics for conditional simulation of ore bodies. Economic Geology 69, 673-687.
27. Aldworth, J. and Cressie, N. (2003). Prediction of nonlinear spatial functionals. Journal of Statistical Planning and Inference 112, 3-41.