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. The book covers a range of topics, including descriptive statistics, bivariate analysis, regression analysis, and meta-analysis.

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 analysis, survival analysis, regression analysis, and meta-analysis; Serves as foundational starting point to help the novice gain a better understanding of basic statistical concepts.