Data methods in optometry. Part 10: non-linear regression analysis

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Abstract

1. The techniques associated with regression, whether linear or non-linear, are some of the most useful statistical procedures that can be applied in clinical studies in optometry. 2. In some cases, there may be no scientific model of the relationship between X and Y that can be specified in advance and the objective may be to provide a ‘curve of best fit’ for predictive purposes. In such cases, the fitting of a general polynomial type curve may be the best approach. 3. An investigator may have a specific model in mind that relates Y to X and the data may provide a test of this hypothesis. Some of these curves can be reduced to a linear regression by transformation, e.g., the exponential and negative exponential decay curves. 4. In some circumstances, e.g., the asymptotic curve or logistic growth law, a more complex process of curve fitting involving non-linear estimation will be required.

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Original languageEnglish
Pages (from-to)41-45
Number of pages5
JournalOptometry Today
Volume2010
IssueMarch
StatePublished - Mar 2010

    Keywords

  • regression, statistical procedures, clinical studies, optometry

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