Dr. Eliana Voss, PhD

Lead Biostatistics Consultant

Dr. Eliana Voss specializes in advanced statistical modeling and quantitative research methods. She has supported researchers across health sciences, psychology, and social sciences with study design, regression analysis, data interpretation, and publication-ready statistical reporting. Her work focuses on transforming complex datasets into clear, evidence-based insights.

Regression AnalysisSPSSStataRMultivariate Statistics

How Eliana works on a project

Eliana anchors the regression and multivariate side of the practice: multiple and hierarchical regression, logistic models, and the diagnostics that decide whether a model can be defended. She is usually the reviewer brought in when a committee questions an assumption check or a model specification.

Her work starts from the research questions rather than the dataset, because the model that answers the question is rarely the first one that fits the data. Expect annotated output in SPSS, R, or Stata and a written rationale you can reuse in your methodology chapter.

The fastest way to work together is through our dissertation data analysis service, which matches the projects this profile describes.

Guides written and reviewed by Dr. Eliana Voss

June 26, 2026 · 11 minHow to fit a mixed effects model in RFit a mixed effects model in R with lme4 lmer(): choose random intercepts or slopes, get p-values with lmerTest, check the ICC, and report it cleanly.Read article June 23, 2026 · 10 minHow to run a multiple regression in SPSSRun a multiple regression in SPSS, check every assumption with the diagnostics SPSS provides, watch for multicollinearity, and report B, Beta, and R squared.Read article June 22, 2026 · 10 minHow to run a linear regression in RFit linear and multiple regression in R with lm(), check the assumptions with plot(model), test VIF for multicollinearity, compare models, and report it cleanly.Read article June 17, 2026 · 7 minMANOVA: multivariate analysis of varianceMANOVA analyses several outcomes jointly to find group differences in the overall pattern, controlling the error rate a stack of separate ANOVAs would inflate.Read article June 13, 2026 · 6 minHow to test for normality (and what to do when data is not normal)Check normality with the Shapiro-Wilk test, a Q-Q plot, and skewness together, and learn the legitimate routes when your data is not normal.Read article June 12, 2026 · 7 minHow to interpret your SPSS outputSPSS gives you a stack of tables but only a few cells answer your question. Here is how to read each box and turn it into supervisor-ready prose.Read article June 11, 2026 · 6 minHow to interpret a confidence intervalA confidence interval reports your best estimate and the uncertainty around it. Here is what the level really means and how to read the bounds correctly.Read article June 11, 2026 · 6 minDescriptive vs inferential statisticsDescriptives summarise your sample; inferentials generalise to the population. Here is what each covers and why a results chapter needs both.Read article June 10, 2026 · 7 minLinear regression assumptions, checkedA regression always prints numbers, even when its assumptions are violated. Here is how to check linearity, independence, equal variance, and normal residuals before you interpret a coefficient.Read article June 6, 2026 · 7 minSPSS vs R vs Stata for your dissertationSPSS is fastest to learn, R is the most flexible and reproducible, Stata suits panel data. Here is how to pick the right one for your thesis.Read article

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