Paper
18 June 1999 Unconsidered subject dissimilarity: a possible key for understanding confusing laser-tissue experiment results
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Proceedings Volume 3591, Ophthalmic Technologies IX; (1999) https://doi.org/10.1117/12.350597
Event: BiOS '99 International Biomedical Optics Symposium, 1999, San Jose, CA, United States
Abstract
Several mechanisms, dependent on the laser radiation and tissue parameters, affect laser tissue interaction. A common in vivo dose response experiment contains, for every parameter value, a few subjects, which are exposed to several doses. These experiments are commonly analyzed using probit models where for every parameter value, the measured data from all subjects are unified to be a single statistical batch. The analysis is then performed under the assumption that the batch responses are statistically independent and that they all originate from the same distribution. However, it is well known that even individuals, that have many common characteristics, may respond differently to equal drug dose or identical medical treatment. Thus, it is reasonable to assume that unaccounted subjects' dissimilarity may affect and bias the results of the statistical analysis. As a part of our study, on the stochastic characteristics of laser (ocular) tissue interactions, we reanalyzed the raw data of the U.S. Army Medical Research Detachment Walter Reed Army Institute of Research (USAMRD-WRAIR) spectral ED50's experiments. Some effects of specimen dissimilarity on the results of the experiment analysis will be presented and discussed.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Amir Langus, Camil Fuchs, and Israel Gannot "Unconsidered subject dissimilarity: a possible key for understanding confusing laser-tissue experiment results", Proc. SPIE 3591, Ophthalmic Technologies IX, (18 June 1999); https://doi.org/10.1117/12.350597
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KEYWORDS
Laser tissue interaction

Statistical analysis

Tolerancing

Laser safety

Stochastic processes

Safety

Analytical research

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