Crossover Designs

Author: Kung-Jong Lui
Publisher: John Wiley & Sons
ISBN: 1119114683
Size: 25.69 MB
Format: PDF, Mobi
View: 2073
Crossover Designs: Testing, Estimation and Sample Size Kung-Jong Lui, Department of Mathematics and Statistics, San Diego State University, USA 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: l Provides exact test procedures and interval estimators, which are especially of use in small-sample cases. l 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. l Each chapter is self-contained, allowing the book to be used a reference resource. l Uses real-life examples to illustrate the practical use of test procedures and estimators l 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.

Wylie Churchill Davidson S A Practice Of Anesthesia 7th Edition

Author: Thomas EJ Healy
Publisher: CRC Press
ISBN: 0340731303
Size: 72.25 MB
Format: PDF
View: 7498
The new edition of this popular text has been extensively revised and updated throughout. It will continue to provide the trainee or practising anesthetist with all the information, both background and practical, that will be needed in the busy clinical setting or during revision for qualifying examinations. Major changes for the new edition include increased international relevance, made possible by the extensive input of a new American co-editor and the selection of well known contributing authors from around the world. The content is thus applicable to all trainees studying for, and passing, the variety of different certifying examinations for practising anesthesia in a wide range of locales. The book presents both the basic science underlying modern anesthetic practice and up-to-date clinical anesthetic management techniques in a comprehensive, but concise and accessible, style. Reviews are well referenced throughout to guide the reader towards additional information beyond the scope of this text. The book will continue to provide in a single volume all the information relevant to the physician in training, and serve as a convenient and reliable reference for the anaesthetist to use after training.

Oncology Clinical Trials

Author: Susan Halabi, PhD
Publisher: Demos Medical Publishing
ISBN: 9781935281764
Size: 48.50 MB
Format: PDF
View: 5718
Clinical trials are the engine of progress in the development of new drugs and devices for the detection, monitoring, prevention and treatment of cancer. A well conceived, carefully designed and efficiently conducted clinical trial can produce results that change clinical practice overnight, deliver new oncology drugs and diagnostics to the marketplace, and expand the horizon of contemporary thinking about cancer biology. A poorly done trial does little to advance the field or guide clinical practice, consumes precious clinical and financial resources and challenges the validity of the ethical contract between investigators and the volunteers who willingly give their time and effort to benefit future patients. With chapters written by oncologists, researchers, biostatisticians, clinical research administrators, and industry and FDA representatives, Oncology Clinical Trials, provides a comprehensive guide for both early-career and senior oncology investigators into the successful design, conduct and analysis of an oncology clinical trial. Oncology Clinical Trials covers how to formulate a study question, selecting a study population, study design of Phase I, II, and III trials, toxicity monitoring, data analysis and reporting, use of genomics, cost-effectiveness analysis, systemic review and meta-analysis, and many other issues. Many examples of real-life flaws in clinical trials that have been reported in the literature are included throughout. The book discusses clinical trials from start to finish focusing on real-life examples in the development, design and analysis of clinical trials. Oncology Clinical Trials features: A systematic guide to all aspects of the design, conduct, analysis, and reporting of clinical trials in oncology Contributions from oncologists, researchers, biostatisticians, clinical research administrators, and industry and FDA representatives Hot topics in oncology trials including multi-arm trials, meta-analysis and adaptive design, use of genomics, and cost-effectiveness analysis Real-life examples from reported clinical trials included throughout

Designing Clinical Research

Author: Stephen B. Hulley
Publisher: Lippincott Williams & Wilkins
ISBN: 1451165854
Size: 38.79 MB
Format: PDF, ePub
View: 6039
Designing Clinical Research sets the standard for providing a practical guide to planning, tabulating, formulating, and implementing clinical research, with an easy-to-read, uncomplicated presentation. This edition incorporates current research methodology—including molecular and genetic clinical research—and offers an updated syllabus for conducting a clinical research workshop. Emphasis is on common sense as the main ingredient of good science. The book explains how to choose well-focused research questions and details the steps through all the elements of study design, data collection, quality assurance, and basic grant-writing. All chapters have been thoroughly revised, updated, and made more user-friendly.

Sample Size Tables For Clinical Studies

Author: David Machin
Publisher: BMJ Books
Size: 24.95 MB
Format: PDF, ePub
View: 3417
This book provides statisticians and researchers with the statistical tools - equations, formulae and numerical tables - to design and plan clinical studies and carry out accurate, reliable and reproducible analysis of the data so obtained. There is no way around this as incorrect procedure in clinical studies means that the researcher's paper will not be accepted by a peer-reviewed journal. Planning and analysing clinical studies is a very complicated business and this book provides indispensible factual information. Please go to and enter 9781405146500 to easily download the supporting materials.

An Introduction To Optimal Designs For Social And Biomedical Research

Author: Martijn P.F. Berger
Publisher: John Wiley & Sons
ISBN: 9780470746929
Size: 46.48 MB
Format: PDF, Kindle
View: 988
The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests. The objectives of a good design are to provide interpretable and accurate inference at minimal costs. Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on the model assumptions. This Book: Introduces optimal experimental design in an accessible format. Provides guidelines for practitioners to increase the efficiency of their designs, and demonstrates how optimal designs can reduce a study’s costs. Discusses the merits of optimal designs and compares them with commonly used designs. Takes the reader from simple linear regression models to advanced designs for multiple linear regression and nonlinear models in a systematic manner. Illustrates design techniques with practical examples from social and biomedical research to enhance the reader’s understanding. Researchers and students studying social, behavioural and biomedical sciences will find this book useful for understanding design issues and in putting optimal design ideas to practice.

Well Controlled Diet Studies In Humans

Author: Barbara H. Dennis
Publisher: Academy of Nutrition and Dietetics
Size: 48.29 MB
Format: PDF, ePub, Docs
View: 157
This comprehensive and practical volume reviews everything you need to know to design, implement, and manage human research studies. The 25 chapters are grouped into five sections: Study Design, Human Factors, The Dietary Intervention, The Research Kitchen, and Enhancing the Ou tcomes of Dietary Studies. Comprehensive resources, including numerou s figures, tables, and bibliographies accompany each chapter.

Biostatistics In Clinical Trials

Author: Carol K. Redmond
Publisher: John Wiley & Sons
Size: 64.38 MB
Format: PDF, ePub, Mobi
View: 6234
The second volume in the Wiley reference series inBiostatistics. Featuring articles from the prestigious Encyclopedia ofBiostatistics, many of which have been fully revised and updated toinclude recent developments, Biostatistics in Clinical Trials alsoincludes up to 25% newly commissioned material reflecting thelatest thinking in: Bayesian methods Benefit/risk assessment Cost-effectiveness Ethics Fraud With exceptional contributions from leading experts in academia,government and industry, Biostatistics in Clinical Trials has beendesigned to complement existing texts by providing extensive,up-to-date coverage and introducing the reader to the researchliterature. Offering comprehensive coverage of all aspects of clinical trialsBiostatistics in Clinical Trials: Includes concise definitions and introductions to numerousconcepts found in current literature Discusses the software and textbooks available Uses extensive cross-references helping to facilitate furtherresearch and enabling the reader to locate definitions and relatedconcepts Biostatistics in Clinical Trials offers both academics andpractitioners from various disciplines and settings, such asuniversities, the pharmaceutical industry and clinical researchorganisations, up-to-date information as well as references toassist professionals involved in the design and conduct of clinicaltrials.