The most important points in clinical biostatistics, presented intuitively with clinical examples. Valuable not only for biostatistics courses and medical board review, but for providing a lasting clear approach to interpreting medical research reports.

Terminology -- Mean, median, and mode -- Range, variance, and standard deviation -- Kinds of data -- Kinds of studies -- Kinds of graphs -- Hypothesis testing -- Descriptive statistics -- Inferential statistics -- Standard error of the mean (SEM) -- The t-test -- One-tailed vs. two-tailed studies -- P-ing (pee-ing) all over the place -- Type I and type II errors -- ANOVA (analysis of variance) -- Correlation and regression -- Nonparametric tests -- Epidemiological tests -- What's wrong here?