CERA

About

Dr Myra McGuinness

Biostatistician

Dr Myra McGuinness leads biostatistics at CERA, assisting in research planning and developing statistical models that help researchers interpret their findings correctly.

Dr Myra McGuinness

Biostatistician

BOrth, MBiostat, PhD

Dr Myra McGuinness is the head of biostatistics at CERA. She graduated from the University of Melbourne with a PhD in Biostatistics which focused on statistical models to investigate survival bias in observational studies.

Dr McGuinness has been employed at CERA since 2014 and has been embedded within the Population Health, Macular Research and Research Support units.

In addition, she is an honorary research fellow and research supervisor at the Centre for Epidemiology and Biostatistics within the Melbourne School of Population and Global Health.

Dr McGuinness is the chair of the Early Career Biostatisticians’ committee of the International Society for Clinical Biostatistics.

She also has extensive experience as a clinical orthoptist. During that time her areas of speciality were paediatric ophthalmology and strabismus.

Dr McGuinness is passionate about incorporating best-practice research methodology when designing research studies and assessing results at CERA. Best-practice statistical methods are important when investigating risk factors such as diet for conditions which are related to ageing such as age-related macular degeneration, glaucoma and cataract. These methods help researchers interpret their findings correctly and allow them to develop a greater understanding of the condition’s development.

Selected publications

Key collaborators

Selected publications

McGuinness MB, Kasza J, Karahalios A, Guymer RH, Finger RP, Simpson JA. A comparison of methods to estimate the survivor average causal effect in the presence of missing data: a simulation study. BMC Med Res Methodol. 2019;19(1):223. https://link.springer.com/article/10.1186/s12874-019-0874-x

McGuinness MB, Karahalios A, Kasza J, Guymer RH, Finger RP, Simpson JA. Survival Bias When Assessing Risk Factors for Age-Related Macular Degeneration: A Tutorial with Application to the Exposure of Smoking. Ophthalmic Epidemiol. 2017;24(4):229-238. https://www.tandfonline.com/doi/abs/10.1080/09286586.2016.1276934

McGuinness MB, Finger RP, Wu Z, et al. Properties of the Impact of Vision Impairment and Night Vision Questionnaires among people with intermediate age-related macular degeneration. Transl Vis Sci Technol. 2019;8(5): Article 3. https://tvst.arvojournals.org/article.aspx?articleid=2749786

McGuinness MB, Guymer RH, Simpson JA. Invited Commentary: Implications of analysis unit on epidemiology of multimodal imaging–defined reticular pseudodrusen: When 2 eyes are better than 1. JAMA ophthalmol. 2020. https://jamanetwork.com/journals/jamaophthalmology/article-abstract/2762563

See more publications

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