Dr. Selene Marrow, PhD

Research Statistics Advisor

Dr. Selene Marrow has extensive experience supporting evidence-based research through rigorous statistical analysis. Her expertise includes predictive modeling, epidemiological research methods, and quantitative study design. She is committed to helping researchers make informed conclusions from their data.

EpidemiologyLogistic RegressionResearch DesignMeta-Analysis

How Selene works on a project

Selene covers epidemiological methods, logistic regression, and study design, and advises on the evidence-synthesis projects that need a methodologist rather than just an analyst. Her background is in health research, where reviewers are least forgiving.

She is typically brought in early, at the design and analysis-plan stage, because the cheapest place to fix a study is before the data exist. Her plans map every research question to a test, a power justification, and a reporting format.

The fastest way to work together is through our design-stage statistical consulting, which matches the projects this profile describes.

Guides written and reviewed by Dr. Selene Marrow

June 27, 2026 · 10 minHow to run a survival analysis in RRun survival analysis in R: code censoring with Surv(), plot Kaplan-Meier curves, run the log-rank test, fit a Cox model, and check proportional hazards.Read article June 24, 2026 · 10 minHow to run a logistic regression in SPSSRun a binary logistic regression in SPSS, set the outcome and reference categories correctly, check model fit, and report Exp(B) odds ratios with intervals.Read article June 21, 2026 · 10 minHow to run a logistic regression in RFit logistic regression in R with glm(), convert log-odds to odds ratios with exp(), check fit and AUC, watch for separation, and report the odds ratios.Read article June 20, 2026 · 9 minHow to run a chi-square test in SPSSRun a chi-square test of independence in SPSS, check the expected-count assumption, pick Pearson or Fisher's exact, and report it with an effect size.Read article June 20, 2026 · 9 minHow to write the methods section of a research paperWrite a reproducible methods section: participants, measures, procedure, and a correct data analysis plan, with a worked example and the common mistakes to avoid.Read article June 17, 2026 · 7 minQuantitative vs qualitative researchNumbers or words, measuring or understanding: here is how quantitative and qualitative research differ, and how to choose the right one for your question.Read article June 15, 2026 · 9 minIndependent vs dependent variables, explainedThe independent variable is what you change; the dependent variable is what you measure. Here is how to tell them apart and why it matters.Read article June 15, 2026 · 7 minWhat is a theoretical framework?A theoretical framework grounds your study in an established theory that explains why your expected relationships should exist. Here is how to choose and write one.Read article June 14, 2026 · 7 minHow to build a conceptual frameworkA conceptual framework is the study-level map of how your variables connect. Here is what it contains, how it differs from a theoretical framework, and how to write one.Read article June 10, 2026 · 6 minEffect size explained, and why it mattersA p-value says whether an effect is real; the effect size says how much it matters. Here is what each metric covers and how to report it in your thesis.Read article June 7, 2026 · 7 minInterpreting logistic regression resultsOdds ratios above 1 raise the odds, below 1 lower them. Here is how to read logistic regression output and judge whether the model fits.Read article

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