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Statistics for Research in Binocular Vision Science and Pediatric Ophthalmology Presented by: Myra McGuinness, BOrth, MBiostat, PhD. Moderator: Kyle Arnoldi, CO Originally presented on Wednesday, August 25, 2021 1.5 Core AOC and COC CEC Research in pediatric ophthalmology can lead to improvements in patient wellbeing that last a lifetime. To maximize the potential impact of this research, statistical approaches should be carefully considered at the design stage of any study. After selecting the appropriate methodology, it is vital that statistical methods and results be communicated effectively to fellow eye-health professionals. This includes explicitly stating the estimand (i.e., the objective that the statistics aim to address), and providing graphical representations of the data. The audience should also be provided with enough information to assess the strength of evidence, such as the magnitude of effect, the margin of error, and potential sources of bias. This will assist the move away from dichotomizing results as significant vs not significant and promote a more nuanced approach to interpreting findings. The aim of this seminar is to present an overview of the concepts required to formulate a statistical analysis plan and to report findings from orthoptic research. To illustrate concepts, data will be presented from an interventional study on convergence insufficiency, and an observational study of visual acuity among children with oculocutaneous albinism.
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