Handbook Of Sample Size Guidelines For Clinical Trials
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Author | : Jonathan J. Shuster |
Publisher | : CRC Press |
Total Pages | : 787 |
Release | : 2019-01-15 |
Genre | : Medical |
ISBN | : 1351366254 |
The aim of this unique volume is to help medical researchers design clinical trials to improve survival, remission duration, or time to recurrence of disease. Written in a user-friendly step-by-step format, this work enables the researcher-with no background in statistics-to determine sample size and write statistical considerations for their protocols. It provides critical language which can help with FDA submissions and/or research grants. It also provides the mathematical justification of the material at a level consistent with one year of undergraduate mathematical statistics. It presents survival analysis methods at a more elementary level than any known text. Filled with tables, figures, plus an extensive appendix, this one-of-a-kind reference is an absolute must for all clinical researchers and biostatisticians.
Author | : Jonathan J. Shuster |
Publisher | : CRC Press |
Total Pages | : 224 |
Release | : 1992-11-30 |
Genre | : Medical |
ISBN | : 9780849344879 |
Practical Handbook of Sample Size Guidelines for Clinical Trials is a concise guide and powerful software utility program that provides a valuable, non-technical blueprint for the design and analysis of survival clinical trials. This text and software allow clinical researchers to write more effective protocols or research grant proposals in a fraction of the time it would take them otherwise. Clinical researchers also gain insight into how biostatisticians analyze trial data and discover what "p-values" really tell them. If you are a biostatistician or student, this book and software will be an indispensable tool for study design. Furthermore, no other book provides justification for survival analysis results at such an introductory level. The program increases your flexibility because it allows you to browse through various planning parameter configurations by changing one parameter at a time, circumventing the need to re-enter the set of planning parameters. Practical Handbook of Sample Size Guidelines for Clinical Trials is ideal for biostatisticians, clinical oncologists, epidemiologists, public health specialists, hematologists, and other researchers who need a concise, easy-to-use tool for sample size determination.
Author | : Jonathan J. Shuster |
Publisher | : CRC Press |
Total Pages | : 224 |
Release | : 1992-11-30 |
Genre | : Medical |
ISBN | : 9780849386787 |
Author | : Jonathan J. Shuster |
Publisher | : |
Total Pages | : 854 |
Release | : 1989 |
Genre | : Clinical trials |
ISBN | : |
Author | : Jonathan J. Shuster |
Publisher | : CRC Press |
Total Pages | : 862 |
Release | : 2019-01-15 |
Genre | : Medical |
ISBN | : 1351366262 |
The aim of this unique volume is to help medical researchers design clinical trials to improve survival, remission duration, or time to recurrence of disease. Written in a user-friendly step-by-step format, this work enables the researcher-with no background in statistics-to determine sample size and write statistical considerations for their protocols. It provides critical language which can help with FDA submissions and/or research grants. It also provides the mathematical justification of the material at a level consistent with one year of undergraduate mathematical statistics. It presents survival analysis methods at a more elementary level than any known text. Filled with tables, figures, plus an extensive appendix, this one-of-a-kind reference is an absolute must for all clinical researchers and biostatisticians.
Author | : Shein-Chung Chow |
Publisher | : CRC Press |
Total Pages | : 825 |
Release | : 2017-08-15 |
Genre | : Mathematics |
ISBN | : 1351727117 |
Praise for the Second Edition: "... this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics "This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered ..." – Journal of the Royal Statistical Society Sample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation. Features: Compares the relative merits and disadvantages of statistical methods for sample size calculations Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches This new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation.
Author | : Shein-Chung Chow |
Publisher | : CRC Press |
Total Pages | : 352 |
Release | : 2003-03-04 |
Genre | : Mathematics |
ISBN | : 0824748239 |
Sample size calculation plays an important role in clinical research. It is not uncommon, however, to observe discrepancies among study objectives (or hypotheses), study design, statistical analysis (or test statistic), and sample size calculation. Focusing on sample size calculation for studies conducted during the various phases of clinical research and development, Sample Size Calculation in Clinical Research explores the causes of discrepancies and how to avoid them. This volume provides formulas and procedures for determination of sample size required not only for testing equality, but also for testing non-inferiority/superiority, and equivalence (similarity) based on both untransformed (raw) data and log-transformed data under a parallel-group design or a crossover design with equal or unequal ratio of treatment allocations. It contains a comprehensive and unified presentation of statistical procedures for sample size calculation that are commonly employed at various phases of clinical development. Each chapter includes, whenever possible, real examples of clinical studies from therapeutic areas such as cardiovascular, central nervous system, anti-infective, oncology, and women's health to demonstrate the clinical and statistical concepts, interpretations, and their relationships and interactions. The book highlights statistical procedures for sample size calculation and justification that are commonly employed in clinical research and development. It provides clear, illustrated explanations of how the derived formulas and/or statistical procedures can be used.
Author | : Rens van de Schoot |
Publisher | : Routledge |
Total Pages | : 270 |
Release | : 2020-02-13 |
Genre | : Psychology |
ISBN | : 1000760944 |
Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics.
Author | : Shein-Chung Chow |
Publisher | : CRC Press |
Total Pages | : 481 |
Release | : 2007-08-22 |
Genre | : Mathematics |
ISBN | : 1439870934 |
Focusing on an integral part of pharmaceutical development, Sample Size Calculations in Clinical Research, Second Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. It provides sample size formulas and procedures for testing equality, noninferiority/superiority, and equivalence. A comprehensive and unified presentation of statistical concepts and practical applications, this book highlights the interactions between clinicians and biostatisticians, includes a well-balanced summary of current and emerging clinical issues, and explores recently developed statistical methodologies for sample size calculation. Whenever possible, each chapter provides a brief history or background, regulatory requirements, statistical designs and methods for data analysis, real-world examples, future research developments, and related references. One of the few books to systematically summarize clinical research procedures, this edition contains new chapters that focus on three key areas of this field. Incorporating the material of this book in your work will help ensure the validity and, ultimately, the success of your clinical studies.
Author | : David Machin |
Publisher | : John Wiley & Sons |
Total Pages | : 412 |
Release | : 2018-08-20 |
Genre | : Medical |
ISBN | : 1118874943 |
An authoritative resource that offers the statistical tools and software needed to design and plan valid clinical studies Now in its fourth and extended edition, Sample Sizes for Clinical, Laboratory and Epidemiology Studiesincludes the sample size software (SSS) and formulae and numerical tables needed to design valid clinical studies. The text covers clinical as well as laboratory and epidemiology studies and contains the information needed to ensure a study will form a valid contribution to medical research. The authors, noted experts in the field, explain step by step and explore the wide range of considerations necessary to assist investigational teams when deriving an appropriate sample size for their when planned study. The book contains sets of sample size tables with companion explanations and clear worked out examples based on real data. In addition, the text offers bibliography and references sections that are designed to be helpful with guidance on the principles discussed. This revised fourth edition: Offers the only text available to include sample size software for use in designing and planning clinical studies Presents new and extended chapters with many additional and refreshed examples Includes clear explanations of the principles and methodologies involved with relevant practical examples Makes clear a complex but vital topic that is designed to ensure valid methodology and publishable results Contains guidance from an internationally recognised team of medical statistics experts Written for medical researchers from all specialities and medical statisticians, Sample Sizes for Clinical, Laboratory and EpidemiologyStudies offers an updated fourth edition of the important guide for designing and planning reliable and evidence based clinical studies.