Methods in R:
A topic reference for biomedical research and peer review
Notation
This page lists the symbols, conventions, and abbreviations used
throughout the book. Where a chapter departs from these conventions
locally, the chapter says so explicitly.
Greek symbols
Symbol
Meaning
\(\alpha\)
Type I error rate (significance threshold).
\(\beta\)
Type II error rate; also a regression coefficient (context).
\(\mu\)
Population mean.
\(\sigma\)
Population standard deviation; \(\sigma^2\) for variance.
\(\pi\)
Population proportion.
\(\theta\)
Generic population parameter; \(\hat{\theta}\) for the estimator.
\(\tau^2\)
Between-study variance in meta-analysis.
\(\rho\)
Population correlation; intra-class correlation (ICC).
\(\lambda\)
Rate parameter; eigenvalue (context).
Latin symbols
Symbol
Meaning
\(n\)
Sample size.
\(N\)
Population size.
\(\bar{x}\)
Sample mean.
\(s\)
Sample standard deviation; \(s^2\) for variance.
\(\hat{p}\)
Sample proportion.
\(\mathrm{SE}\)
Standard error of an estimator.
\(p\)
\(p\)-value.
\(L\), \(\ell\)
Likelihood and log-likelihood.
\(I^2\)
Heterogeneity statistic in meta-analysis.
Operators and notation
\(\sim\) — “is distributed as”.
\(\hat{\theta}\) — an estimator of the parameter \(\theta\).
\(X \perp Y\) — independence.
\(E[\cdot]\), \(\mathrm{Var}[\cdot]\) — expectation and variance.
Transparent Reporting of a multivariable prediction model.
STROBE
Strengthening the Reporting of Observational Studies in Epidemiology.
CONSORT
Consolidated Standards of Reporting Trials.
PRISMA
Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
ARRIVE
Animal Research: Reporting of In Vivo Experiments.
STARD
Standards for Reporting of Diagnostic Accuracy.
Code conventions
The base R pipe |> is used throughout. Files mixing %>% and |> are
flagged in GENERATION_LOG.md.
Package functions are written qualified the first time they appear in
a chapter (dplyr::filter()), then bare on subsequent uses.
Code blocks shown in the rendered book are display-only; the book is
built with eval = FALSE globally and verified to knit cleanly without
side effects. To run a chunk yourself, copy it into an R session with
the libraries cited in that section attached.