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Author : Azhar Nizam
Publisher :
ISBN 13 :
Total Pages : 102 pages
Book Rating : 4.:/5 (178 download)
Download or read book Optimal Designs when Comparing Experimental Treatments with a Control written by Azhar Nizam and published by . This book was released on 1987 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : A. S. Hedayat
Publisher :
ISBN 13 :
Total Pages : 23 pages
Book Rating : 4.:/5 (227 download)
Download or read book Recent Discoveries on A-Optimal Designs for Comparing Test Treatments with Controls written by A. S. Hedayat and published by . This book was released on 1986 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors introduce the problem with an example. How should we design an experiment to compare 4 test treatments with a control, using 18 experimental units? As a statistical question we will not be able to answer it unless it is asked in a more precise manner. To begin with we need to postulate a model for the response observed upon application of a treatment, test treatment or control, to an experimental unit. This paper shall consider three possible models: 1) O-way elimination of heterogeneity model in which all experimental units are homogeneous before application of treatments; 2) 1-way elimination of heterogeneity model in which experimental units can be divided into several homogeneous blocks; and 3) 2-way elimination of heterogeneity model in which the experimental units can be conceptually arranged according to rows and columns.
Author : R. A. Bailey
Publisher : Cambridge University Press
ISBN 13 : 9780521683579
Total Pages : 346 pages
Book Rating : 4.6/5 (835 download)
Download or read book Design of Comparative Experiments written by R. A. Bailey and published by Cambridge University Press. This book was released on 2008-04-17 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design of Comparative Experiments develops a coherent framework for thinking about factors that affect experiments and their relationships, including the use of Hasse diagrams. These diagrams are used to elucidate structure, calculate degrees of freedom and allocate treatment sub-spaces to appropriate strata. Good design considers units and treatments first, and then allocates treatments to units. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. This book should be on the shelf of every practicing statistician who designs experiments.
Author : Scott E. Maxwell
Publisher : Routledge
ISBN 13 : 1317284550
Total Pages : 1507 pages
Book Rating : 4.3/5 (172 download)
Download or read book Designing Experiments and Analyzing Data written by Scott E. Maxwell and published by Routledge. This book was released on 2017-09-11 with total page 1507 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs, which allows for the introduction of more complex topics that are generally omitted from other books. Numerous pedagogical features further facilitate understanding: examples of published research demonstrate the applicability of each chapter’s content; flowcharts assist in choosing the most appropriate procedure; end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available online, and extensive sets of exercises help develop a deeper understanding of the subject. Detailed solutions for some of the exercises and realistic data sets are included on the website (DesigningExperiments.com). The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. The book and its companion website with web apps, tutorials, and detailed code are ideal for students and researchers seeking the optimal way to design their studies and analyze the resulting data.
Author : W. I. Notz
Publisher :
ISBN 13 :
Total Pages : 19 pages
Book Rating : 4.:/5 (897 download)
Download or read book Optimal Designs for Treatment-control Comparisons in the Presence of Two-way Heterogeneity written by W. I. Notz and published by . This book was released on 1984 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Blaza Toman
Publisher :
ISBN 13 :
Total Pages : 258 pages
Book Rating : 4.:/5 (175 download)
Download or read book Bayesian Optimal Experimental Design for the Comparison of Treatment with a Control in the Analysis of Variance Setting written by Blaza Toman and published by . This book was released on 1987 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dibyen Majumdar
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (227 download)
Download or read book Optimal Repeated Measurements Designs for Comparing Test Treatments with a Control written by Dibyen Majumdar and published by . This book was released on 1987 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: A-optimal and MV-optimal repeated measurements designs are given both for direct and residual treatment effects, for comparing several test treatments with a control. The model considered are basically of two types: without preperiods and the circular model. It is shown that some known balanced and strongly balanced uniform repeated measurements designs can be modified to obtain optimal designs for this problem. Some other methods of finding optimal designs are also given. Keywords: Experimental design; Problem solving.
Author : D. Majumdar
Publisher :
ISBN 13 :
Total Pages : 27 pages
Book Rating : 4.:/5 (227 download)
Download or read book Optimal Designs for Comparisons Between Two Sets of Treatments written by D. Majumdar and published by . This book was released on 1984 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suppose v treatments are to be compared in b blocks of size k each. Also suppose that the treatments are divided into 2 sets of u and w = v - u treatments. A-optimal designs are obtained for estimating all the differences of two treatments, one from each set. Optimal row-column designs are also obtained. Some new optimal designs for comparing several treatments with a single control are obtained as special cases. Key words include: A-optimal designs, block designs, row-column designs, comparisons between two sets of treatments, control-treatment comparisons, several controls. (Author).
Author : Wei Zhu
Publisher :
ISBN 13 :
Total Pages : 306 pages
Book Rating : 4.:/5 ( download)
Download or read book On the Optimal Designs of Multiple-objective Clinical Trials and Quantal Dose-response Experiments written by Wei Zhu and published by . This book was released on 1996 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309171148
Total Pages : 221 pages
Book Rating : 4.3/5 (91 download)
Download or read book Small Clinical Trials written by Institute of Medicine and published by National Academies Press. This book was released on 2001-01-01 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.
Author : Robert E. Bechhofer
Publisher :
ISBN 13 :
Total Pages : 10 pages
Book Rating : 4.:/5 (227 download)
Download or read book Design of Experiments for Comparing Treatments with a Control: Tables of Optimal Allocations of Observations written by Robert E. Bechhofer and published by . This book was released on 1981 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Santner
Publisher : CRC Press
ISBN 13 : 9780824772741
Total Pages : 336 pages
Book Rating : 4.7/5 (727 download)
Download or read book Design of Experiments written by Santner and published by CRC Press. This book was released on 1984-07-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple comparisons; Selection and ranking; Estimation and testing.
Author : Jesús López-Fidalgo
Publisher : Springer Nature
ISBN 13 : 3031359186
Total Pages : 228 pages
Book Rating : 4.0/5 (313 download)
Download or read book Optimal Experimental Design written by Jesús López-Fidalgo and published by Springer Nature. This book was released on 2023-10-14 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a concise introduction to optimal experimental design and efficiently prepares the reader for research in the area. It presents the common concepts and techniques for linear and nonlinear models as well as Bayesian optimal designs. The last two chapters are devoted to particular themes of interest, including recent developments and hot topics in optimal experimental design, and real-world applications. Numerous examples and exercises are included, some of them with solutions or hints, as well as references to the existing software for computing designs. The book is primarily intended for graduate students and young researchers in statistics and applied mathematics who are new to the field of optimal experimental design. Given the applications and the way concepts and results are introduced, parts of the text will also appeal to engineers and other applied researchers.
Author : Kung-Jong Lui
Publisher : John Wiley & Sons
ISBN 13 : 1119114705
Total Pages : 248 pages
Book Rating : 4.1/5 (191 download)
Download or read book Crossover Designs written by Kung-Jong Lui and published by John Wiley & Sons. This book was released on 2016-08-08 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and practical resource for analyses of crossover designs For ethical reasons, it is vital to keep the number of patients in a clinical trial as low as possible. As evidenced by extensive research publications, crossover design can be a useful and powerful tool to reduce the number of patients needed for a parallel group design in studying treatments for non-curable chronic diseases. This book introduces commonly-used and well-established statistical tests and estimators in epidemiology that can easily be applied to hypothesis testing and estimation of the relative treatment effect for various types of data scale in crossover designs. Models with distribution-free random effects are assumed and hence most approaches considered here are semi-parametric. The book provides clinicians and biostatisticians with the exact test procedures and exact interval estimators, which are applicable even when the number of patients in a crossover trial is small. Systematic discussion on sample size determination is also included, which will be a valuable resource for researchers involved in crossover trial design. Key features: Provides exact test procedures and interval estimators, which are especially of use in small-sample cases. Presents most test procedures and interval estimators in closed-forms, enabling readers to calculate them by use of a pocket calculator or commonly-used statistical packages. Each chapter is self-contained, allowing the book to be used a reference resource. Uses real-life examples to illustrate the practical use of test procedures and estimators Provides extensive exercises to help readers appreciate the underlying theory, learn other relevant test procedures and understand how to calculate the required sample size. Crossover Designs: Testing, Estimation and Sample Size will be a useful resource for researchers from biostatistics, as well as pharmaceutical and clinical sciences. It can also be used as a textbook or reference for graduate students studying clinical experiments.
Author : Klaus Hinkelmann
Publisher : John Wiley & Sons
ISBN 13 : 1118147642
Total Pages : 598 pages
Book Rating : 4.1/5 (181 download)
Download or read book Design and Analysis of Experiments, Volume 3 written by Klaus Hinkelmann and published by John Wiley & Sons. This book was released on 2011-12-28 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides timely applications, modifications, and extensions of experimental designs for a variety of disciplines Design and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them. The book also presents optimal and efficient designs for practice and covers key topics in current statistical research. Featuring contributions from leading researchers and academics, the book demonstrates how the presented concepts are used across various fields from genetics and medicinal and pharmaceutical research to manufacturing, engineering, and national security. Each chapter includes an introduction followed by the historical background as well as in-depth procedures that aid in the construction and analysis of the discussed designs. Topical coverage includes: Genetic cross experiments, microarray experiments, and variety trials Clinical trials, group-sequential designs, and adaptive designs Fractional factorial and search, choice, and optimal designs for generalized linear models Computer experiments with applications to homeland security Robust parameter designs and split-plot type response surface designs Analysis of directional data experiments Throughout the book, illustrative and numerical examples utilize SAS®, JMP®, and R software programs to demonstrate the discussed techniques. Related data sets and software applications are available on the book's related FTP site. Design and Analysis of Experiments, Volume 3 is an ideal textbook for graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, and business.
Author : Nazar Eltahir
Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.:/5 (296 download)
Download or read book A Two-stage Procedure for Comparing Several Experimental Treatments with a Control written by Nazar Eltahir and published by . This book was released on 1993 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sarah R. Brown
Publisher : John Wiley & Sons
ISBN 13 : 1118570901
Total Pages : 260 pages
Book Rating : 4.1/5 (185 download)
Download or read book A Practical Guide to Designing Phase II Trials in Oncology written by Sarah R. Brown and published by John Wiley & Sons. This book was released on 2014-05-12 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to identify optimal phase II trial designs Providing a practical guide containing the information needed to make crucial decisions regarding phase II trial designs, A Practical Guide to Designing Phase II Trials in Oncology sets forth specific points for consideration between the statistician and clinician when designing a phase II trial, including issues such as how the treatment works, choice of outcome measure and randomization, and considering both academic and industry perspectives. A comprehensive and systematic library of available phase II trial designs is included, saving time otherwise spent considering multiple manuscripts, and real-life practical examples of using this approach to design phase II trials in cancer are given. A Practical Guide to Designing Phase II Trials in Oncology: Offers a structured and practical approach to phase II trial design Considers trial design from both an academic and industry perspective Includes a structured library of available phase II trial designs Is relevant to both clinical and statistical researchers at all levels Includes real life examples of applying this approach For those new to trial design, A Practical Guide to Designing Phase II Trials in Oncology will be a unique and practical learning tool, providing an introduction to the concepts behind informed decision making in phase II trials. For more experienced practitioners, the book will offer an overview of new, less familiar approaches to phase II trial design, providing alternative options to those which they may have previously used.
