Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences

<p><b>A practical&nbsp;guide to&nbsp;the use of&nbsp;basic principles of experimental design and statistical analysis&nbsp;in pharmacology&nbsp;</b></p> <p><i>Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences</i>&nbsp;provides&nbsp;clear instructions&nbsp;on&nbsp;applying&nbsp;statistical analysis&nbsp;techniques&nbsp;to pharmacological data. Written by&nbsp;an&nbsp;experimental pharmacologist with decades of&nbsp;experience teaching statistics and designing preclinical experiments,&nbsp;this&nbsp;reader-friendly&nbsp;volume&nbsp;explains the&nbsp;variety of&nbsp;statistical tests&nbsp;that researchers require to analyze data and draw correct conclusions.&nbsp;</p> <p>Detailed,&nbsp;yet&nbsp;accessible,&nbsp;chapters explain&nbsp;how to determine the appropriate statistical tool for a particular type of data, run the statistical test, and analyze and interpret the results.&nbsp;By first&nbsp;introducing basic principles of experimental design and statistical analysis, the author&nbsp;then&nbsp;guides readers through descriptive and inferential statistics, analysis of variance, correlation and regression analysis, general linear modelling, and more.&nbsp;Lastly, throughout the&nbsp;textbook&nbsp;are&nbsp;numerous examples from molecular, cellular,&nbsp;in vitro, and&nbsp;in vivo&nbsp;pharmacology&nbsp;which&nbsp;highlight the&nbsp;importance of rigorous statistical analysis in real-world&nbsp;pharmacological and biomedical research.&nbsp;</p> <p>This textbook also:&nbsp;&nbsp;</p> <ul> <li>Describes the rigorous statistical approach&nbsp;needed&nbsp;for publication in scientific journals&nbsp;</li> <li>Covers&nbsp;a wide range of statistical concepts and methods, such as&nbsp;standard normal distribution, data confidence intervals, and&nbsp;post hoc&nbsp;and&nbsp;a priori&nbsp;analysis&nbsp;</li> <li>Discusses&nbsp;practical&nbsp;aspects&nbsp;of&nbsp;data collection, identification,&nbsp;and presentation&nbsp;&nbsp;</li> <li>Features images of the output from common statistical packages, including GraphPad Prism,&nbsp;Invivo&nbsp;Stat,&nbsp;MiniTab&nbsp;and SPSS&nbsp;</li> </ul> <p><i>Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences</i>&nbsp;is an invaluable reference and guide for undergraduate and graduate students, post-doctoral researchers, and lecturers in pharmacology, graduate students and post-doctoral researchers&nbsp;in pharmacology&nbsp;and&nbsp;allied subjects in the life&nbsp;sciences.&nbsp;</p>