Descriptive statistics -- Assessing rates and risks -- Probability and statistical inference -- T-tests and analysis of variance -- Ordinal outcome variables -- Nominal outcome variables -- Correlation and linear regression -- Logistic regression -- Survival analysis -- Assessing study measures -- Assessing equivalence and noninferiority -- Meta-analysis -- Appendices
Summary
Making Meaning of Data in Pharmaceutical and Clinical Research provides readers with the tools to better understand the methods and results of published papers so that they can judge for themselves whether the conclusions reached by the authors are supported by the data presented. 2019; 250 pages; softcover
