Basic epidemiologic and statistical methods in clinical research

Various study designs and approaches to statistical analysis in clinical research have their own underlying rationales and limitations for interpretation. This information is presented in an intuitive and accessible manner, relying minimally on basic algebra. Epidemiologic concepts of study design and interpretation, bias and confounding, hypothesis testing, and sample size and power are explained. Statistical tests and their appropriate applications are discussed for mean comparisons (t tests and ANOVA), percentages (chi-square), survival analysis, and correlation and regression. Applicable nonparametric tests are also introduced.