Statistical Methods in Drug Combination Studies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods in Drug Combination Studies write by Wei Zhao. This book was released on 2014-12-19. Statistical Methods in Drug Combination Studies available in PDF, EPUB and Kindle. The growing interest in using combination drugs to treat various complex diseases has spawned the development of many novel statistical methodologies. The theoretical development, coupled with advances in statistical computing, makes it possible to apply these emerging statistical methods in in vitro and in vivo drug combination assessments. Howeve
Evaluating Synergy
Evaluating Synergy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evaluating Synergy write by Ming Tan. This book was released on 2024-04-08. Evaluating Synergy available in PDF, EPUB and Kindle. Containing the historical and statistical information necessary to choose an analysis method and successful drug combination, Evaluating Synergy provides a systematic introduction of statistical methods for optimally designing and analyzing combination studies in cancer, anti-viral, and other therapeutic areas. This practical guide provides scientists in translational research, data analysts, and statisticians in cancer research with a detailed discussion on the challenging case of three or multi-drug combinations. Numerous examples accompany a presentation that illustrates experimental design considerations for modern drug analysis.
Drug Synergism and Dose-Effect Data Analysis
Drug Synergism and Dose-Effect Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Drug Synergism and Dose-Effect Data Analysis write by Ronald J. Tallarida. This book was released on 2000-07-21. Drug Synergism and Dose-Effect Data Analysis available in PDF, EPUB and Kindle. Not since this author's bestselling Manual of Pharmacologic Calculation has there been an available reference for drug data analysis. Incorporating the most relevant parts of that work, Drug Synergism and Dose-Effect Data Analysis focuses on drug combinations and all the quantitative analyses needed to analyze drug combination dose-effect data and to design experiments with two or more compounds. The book contains the statistical methods, the theory, and the computation algorithms needed to analyze single and combination drug data. Numerous examples accompany a presentation that illustrates the calculations and experimental design considerations for modern drug analysis.
Statistics in Drug Research
Statistics in Drug Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics in Drug Research write by Shein-Chung Chow. This book was released on 2002-02-20. Statistics in Drug Research available in PDF, EPUB and Kindle. Emphasizing the role of good statistical practices (GSP) in drug research and formulation, this book outlines important statistics applications for each stage of pharmaceutical development to ensure the valid design, analysis, and assessment of drug products under investigation and establish the safety and efficacy of pharmaceutical compounds. Cove
Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials
Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials write by Mark Chang. This book was released on 2019-03-20. Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials available in PDF, EPUB and Kindle. "This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development.... Chang et al provide applications to industry-supported trials. This will allow statisticians in the industry community to take these methods seriously." Jay Herson, Johns Hopkins University The pharmaceutical industry's approach to drug discovery and development has rapidly transformed in the last decade from the more traditional Research and Development (R & D) approach to a more innovative approach in which strategies are employed to compress and optimize the clinical development plan and associated timelines. However, these strategies are generally being considered on an individual trial basis and not as part of a fully integrated overall development program. Such optimization at the trial level is somewhat near-sighted and does not ensure cost, time, or development efficiency of the overall program. This book seeks to address this imbalance by establishing a statistical framework for overall/global clinical development optimization and providing tactics and techniques to support such optimization, including clinical trial simulations. Provides a statistical framework for achieve global optimization in each phase of the drug development process. Describes specific techniques to support optimization including adaptive designs, precision medicine, survival-endpoints, dose finding and multiple testing. Gives practical approaches to handling missing data in clinical trials using SAS. Looks at key controversial issues from both a clinical and statistical perspective. Presents a generous number of case studies from multiple therapeutic areas that help motivate and illustrate the statistical methods introduced in the book. Puts great emphasis on software implementation of the statistical methods with multiple examples of software code (both SAS and R). It is important for statisticians to possess a deep knowledge of the drug development process beyond statistical considerations. For these reasons, this book incorporates both statistical and "clinical/medical" perspectives.
