Abstract
Background: There are three components to refractive state, namely sphere, cylinder and axis.
Similarly, central corneal power is also composed of three components, namely the power
along the flat meridian, the power along the steep meridian and the axis of the flat meridian.
Most studies that investigate refractive data and corneal power analyse each of the three
components individually rather than as a trivariate entity. In doing so, pertinent information
may inadvertently be omitted.
Aim: The purpose of this review is to provide a brief overview of the multivariate statistics
that are available to analyse multivariate data such as dioptric power. This will enable
readers to better understand research that is analysed using these methods.
Method: An extensive review of databases such as Google Scholar, Science Direct and
ResearchGate was done to gather publications on the topic of multivariate statistical
analysis. Keywords such as multivariate statistical analysis, dioptric power, stereo-pairs, polar
profiles and hypothesis testing were used to conduct the search.
Results: The debate for the need to analyse dioptric power using multivariate statistical
methods has been a long-standing one. For this review, more than 40 publications were
analysed to provide a simplified overview of the multivariate statistical methods that can be
used to analyse dioptric power.
Conclusion: The use of multivariate statistical methods is a valuable tool in analysing
and understanding dioptric power holistically and may provide more insights for research
involving refractive error and corneal power.