Biostatistics in R — Video Course

Free short video tutorials for biostatistics in R — Table 1, regression, survival, diagnostic tests, agreement, sample size and more. Every video comes with the exact R code to copy. No sign-up.

Learn the methods clinical and health-sciences research runs on — each in about a minute of real R, with the exact code to copy on every page. Watch, then run it on your own data.

Watch & copy the code

Comparing groups

Comparing groups

ANOVA & Post-hoc

Compare 3+ group means, then Tukey's pairwise test — with a boxplot.

Non-parametric tests in R

Comparing groups

Non-parametric Tests

Wilcoxon, Mann-Whitney and Kruskal-Wallis — no normality assumed.

Effect size in R

Comparing groups

Effect Size (Cohen's d)

Cohen's d and Hedges' g — how big is the difference, beyond the p-value?

Association & risk

Correlation in R

Correlation: Pearson & Spearman

A correlation test with a confidence interval, and a scatter plot.

Chi-square test in R

Chi-square & Fisher's Test

Are two categorical variables associated? With expected counts.

Odds ratio in R

Odds Ratio, RR & NNT

The three headline risk measures from a 2×2 table.

Regression

Linear regression in R

Multiple Linear Regression

Predict a numeric outcome from several variables — tidy it with gtsummary.

Logistic regression in R

Logistic Regression & OR

Adjusted odds ratios with CIs, plus a ROC curve and AUC.

Survival analysis

Kaplan-Meier in R

Kaplan-Meier Curves

Estimate and plot survival by group, and the log-rank test.

Cox regression in R

Cox Proportional Hazards

Hazard ratios with the essential PH assumption check.

Diagnostic tests, agreement & reliability

Diagnostic accuracy in R

Diagnostic Test Accuracy

Sensitivity, specificity, PPV, NPV and likelihood ratios.

Cohen's kappa in R

Cohen's Kappa

Agreement between two raters, beyond chance.

Cronbach's alpha in R

Cronbach's Alpha

The internal consistency of a questionnaire or scale.

Reporting & study design

Table 1 with gtsummary

Table 1 with gtsummary

Baseline characteristics by group, with an automatic test per row.

Sample size and power in R

Sample Size & Power

Plan the study before you collect the data.

Prefer to read? The Biostatistics in R guide maps every method to a written tutorial and a free calculator. When a real dataset and a real deadline are involved, that’s where we come in.