Abstract
An objective technique for estimating the kinetics of dark adaptation is presented, with which one can evaluate models with multiple parameters, evaluate several models of dark adaptation simultaneously, and rapidly analyze large data sets. Another advantage is the ability to simultaneously estimate transition times and rates of sensitivity recovery. Finally, this nonlinear regression technique does not require that the distributional properties of the data be transformed, and thus, parameter estimates are in meaningful units and reflect the actual rate of recovery of sensitivity.
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This research was funded by National Institutes of Health Grants R01 AG04212 and T32 EY07033, by a department grant from Research to Prevent Blindness, Inc., and by the Alabama Eye Institute.
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Mcgwin, G., Jackson, G.R. & Owsley, C. Using nonlinear regression to estimate parameters of dark adaptation. Behavior Research Methods, Instruments, & Computers 31, 712–717 (1999). https://doi.org/10.3758/BF03200752
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DOI: https://doi.org/10.3758/BF03200752