<p>"This book is a welcome addition to the literature and fills a needed niche since last book written on drug synergism was over 15 years ago . . . Overall, this book serves as a good reference for both researchers in the field of statistics and drug combination development."<br /><em>~ </em><em>Jessica L. Jaynes,</em> <i>California State University, Fullerton</i></p><p><em>"</em>Investigating drug combinations is a steadily growing area in preclinical and clinical research.As usual, specific statistical methodology is needed to handle these kinds of trials. . . .the book is generallywell structured and the majority of sections actually builds up on and refers to each other. This book provides a good overview on and a good introduction to the topic of statistical methods for drug combination studies, especially regarding the preclinical part."<br /><em>~ Tim Holland-Letz, German Cancer Research Center Heidelberg</em></p>

<p>"This book is a welcome addition to the literature and fills a needed niche since last book written on drug synergism was over 15 years ago . . . each chapter presents a different technique for solving common challenges in the development of drug combinations. . . Overall, this book serves as a good reference for both researchers in the field of statistics and drug combination development."<br /><em>~ </em><em>Jessica L. Jaynes,</em> <i>California State University, Fullerton</i></p><p><em>"</em>Investigating drug combinations is a steadily growing area in preclinical and clinical research.As usual, specific statistical methodology is needed to handle these kinds of trials. . . .the book is generallywell structured and the majority of sections actually builds up on and refers to each other. This book provides a good overview on and a good introduction to the topic of statistical methods for drug combination studies, especially regarding the preclinical part."<br /><em>~ Tim Holland-Letz, German Cancer Research Center Heidelberg</em></p>