Rheanna Mainzer
@RheannaMainzer
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Our paper has now been published (open access)! Bottom line: More effort is needed to clarify the rationale for and improve the reporting of multiple imputation for estimation of causal effects from observational data. @CEBU_Melbourne .@vicbiostat.
New preprint available!. Gaps in the usage and reporting of multiple imputation for incomplete data: Findings from a scoping review of observational studies addressing causal questions.
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RT @MCRI_for_kids: "There is a lifetime ahead of these babies who go home from hospital." MCRI's Prof Jeanie Cheong has discussed new guide….
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New preprint available!. Gaps in the usage and reporting of multiple imputation for incomplete data: Findings from a scoping review of observational studies addressing causal questions.
researchsquare.com
Background Missing data are common in observational studies and often occur in several of the variables required when estimating a causal effect, i.e. the exposure, outcome and/or variables used to...
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New paper out comparing approaches that have been proposed to select auxiliary variables for multiple imputation! Joint work with Cattram Nguyen, John Carlin, @_MargaritaMB and @Katherine_J_Lee at @CEBU_Melbourne, and Ian White at @MRCCTU.
onlinelibrary.wiley.com
Multiple imputation (MI) is a popular method for handling missing data. Auxiliary variables can be added to the imputation model(s) to improve MI estimates. However, the choice of which auxiliary...
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RT @CEBU_Melbourne: #PhDopportunity @CEBU_Melbourne!📣We are seeking a PhD student to undertake research on missing data methodology in the….
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RT @CEBU_Melbourne: Huge congratulations to @RheannaMainzer for being awarded @MCRI_for_kids #populationhealth Theme Funding 2023 for her….
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RT @SarathRanganath: The Young Guns from Melbourne smashed it at this year’s Thoracic Society of Australia and New Zealand conference. Cong….
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RT @StatSocAus: Join us at SSA networking events for 2023!.We welcome anyone with an interest in #statistics to attend to learn more about….
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RT @CEBU_Melbourne: Interested in learning the key underlying concepts of #statistics & commonly used statistical methods in #Health #rese….
mcri.edu.au
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RT @CEBU_Melbourne: Congratulations to our co-directors @_MargaritaMB & @Katherine_J_Lee on their new paper with @JulieASimpson50 @MischHub….
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RT @CEBU_Melbourne: Congratulations to @RheannaMainzer & team @Katherine_J_Lee @_MargaritaMB @JulieASimpson50 on their new publication ."H….
bmjopen.bmj.com
Introduction Observational studies in health-related research often aim to answer causal questions. Missing data are common in these studies and often occur in multiple variables, such as the...
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RT @vicbiostat: Congratulations to Katherine Lee on being awarded an NHMRC Investigator Grant to further her work in adaptive platform tria….
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RT @austrim_cre: Interested in undertaking a PhD in trial methods next year? We have multiple opportunities - please get in touch!.More det….
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RT @SydMathInst: Last Christmas, Secret Santa sparked a mathematical conundrum for @unimelb statistician @RheannaMainzer. Bring in the mat….
theconversation.com
How likely is it that everyone in a family Kris Kringle will draw their own partner? It took a roomful of mathematicians to find out.
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