Making Meaning of Data in Pharmaceutical and Clinical Research

Knowledge of statistical principles is necessary if one wants to make meaning of pharmaceutical and clinical research data. Without the skills and confidence needed to read the literature, pharmacists cannot stay abreast of the most recent findings concerning experimental therapies or emerging safety concerns regarding specific medications. 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. KEY FEATURES: Features nearly 100 figures and illustrations to aid in the retention of key concepts Covers a broad range of topics, including descriptive statistics, bivariate analyses, survival analysis, regression analysis, and meta-analysis. Serves as foundational starting point to help the novice gain a better understanding of basic statistical conceptsTABLE OF CONTENTS: 1. Descriptive Statistics2. Assessing Rates and Risks3. Probability and Statistical Inference4. Tests and Analysis of Variance5. Ordinal Outcome Variables6. Nominal Outcome Variables7. Correlation and Linear Regression8. Logistic Regression9. Survival Analysis10. Assessing Study Measures11. Assessing Equivalence and Noninferiority12. Meta-AnalysisAppendix Index