Probability model of the inaccuracy of residual stromal thickness prediction to reduce the risk of ectasia after LASIK part II: quantifying population risk

Probability model of the inaccuracy of residual stromal thickness prediction to reduce the risk of ectasia after LASIK part II: quantifying population risk

PURPOSE: To derive a statistical model to estimate the rate of excessive keratectomy depth below a selected cut-off residual stromal thickness (RST) gven a minimum target RST and specific Clinical Protocol; apply the model to estimate the RST below which ectasia appears likely to occur and back-calc...

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Bibliographic Details
Main Authors: Dan Z. Reinstein, Sabong Srivannaboon, Timothy J. Archer, Ronald H. Silverman, Hugo Sutton, D. Jackson Coleman
Other Authors: London Vision Clinic
Format: Article
Published: 2018
Subjects:
Medicine
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/23526
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Institution: Mahidol University

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https://repository.li.mahidol.ac.th/handle/123456789/23526

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