If you are a clinician, surgical trainee, nurse, dentist, or PhD researcher who keeps outsourcing every analysis to a statistician, this course rebuilds your independence. You will learn R from a free install through to a fully reproducible report, using realistic, messy clinical-style datasets at every step.
We start with R and RStudio, then move through tidyverse data cleaning, type-safe imports, and a six-point data-quality check that catches silent corruption before it touches your analysis. From there we build descriptive statistics and a publication-ready Table 1, then graduate to ggplot2 figures suitable for journals, conferences, and posters.
The second half covers the methods that actually appear in clinical papers: group comparisons with proper effect sizes, linear and logistic regression with confounding control, Kaplan–Meier and Cox survival analysis, missing-data handling, multiplicity, and meta-analysis with forest plots. We finish with a Quarto capstone so your entire analysis re-runs end-to-end on a fresh machine, no more lost decimal places, mystery columns, or “the figures were right last week.”
