Showing posts with label trials. Show all posts
Showing posts with label trials. Show all posts

Wednesday, May 29, 2013

+++ Save Global Clinical Trials: Effective Implementation and Management


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This book will explore the great opportunities and challenges which exist in conducting clinical trials in developing countries. By exploring the various regulations specific to the major players and providing insight into the logistical challenges including language barriers, this book provides a working tool for clinical researchers and administrators to navigate the intricacies of clinical trials in developing countries. Important topics such as ethical issues will be handled very carefully to highlight the significant differences of conducting this work in various jurisdictions. Overall, it will present a clear and comprehensive guide to the ins-and-outs of clinical trials in various countries to assist in design, development, and effectiveness of these trials.



  • Contributors include high-profile, respected figures who have paved the way for clinical trials in developing countries

  • Provides hands-on tools for regulatory and legal requirements and qualification, design, management, and reporting

  • Case studies outline successes, failures, lessons learned and prospects for future collaboration

  • Includes country-specific guidelines for the most utilized countries

  • Foreword by David Feigel, former Head of CDRH at FDA



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Saturday, May 25, 2013

%$$$ Buy Sample Sizes for Clinical Trials


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Sample Sizes for Clinical Trials

Main Features : Sample Sizes for Clinical Trials

Drawing on various real-world applications, Sample Sizes for Clinical Trials takes readers through the process of calculating sample sizes for many types of clinical trials. It provides descriptions of the calculations with a practical emphasis. Focusing on normal, binary, ordinal, and survival data, the book explores a range of trials, including superiority, equivalence, non-inferiority, bioequivalence, and precision for both parallel group and crossover designs. The author discusses how trial objectives impact the study design with respect to the derivation of formulae for sample size calculations. He uses real-life studies throughout to show how the concepts and calculations can be employed. This work underscores the importance of sample size calculation in the design of a clinical trial. With useful calculation tables throughout, it enables readers to quickly find an appropriate formula, formula application, and associated worked example.






Friday, May 24, 2013

The Use of Restricted Significance Tests in Clinical Trials (Statistics for Biology and Health) Shopping


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This thought-provoking book discusses the use of statistics in randomized clinical trials. Its aim is two-fold: firstly, it presents a clear account of the design and analysis of experiments in this setting which stresses the foundational issues involved. Secondly, the book seeks to develop the specific tools of analysis which can be derived from Neyman's model of restricted tests. The book is based on the author's many years of experience of clinical trials. Throughout, examples are used from a variety of types of study. As a result, all statisticians and research scientists who work on clinical trials will find this presentation clear and accessible, and very relevant to their own research interests.

The Use of Restricted Significance Tests in Clinical Trials (Statistics for Biology and Health)

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****** Best Revews Selection Bias and Covariate Imbalances in Randomized Clinical Trials (Statistics in Practice)


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Selection Bias and Covariate Imbalances in Randomized Clinical Trials (Statistics in Practice) Description

Selection bias can, and does, occur, even in randomized clinical trials. Steps need to be taken in order to ensure that this does not compromise the integrity of clinical trials; hence “Selection Bias and Covariate Imbalances in Randomized Clinical Trials" offers a comprehensive treatment of the subject and the methodology involved.  This book:

  • Provides an overview of the hierarchy of study designs, and justifies the position of randomised trials at the top of this hierarchy.
  • Discusses the strengths and defects of randomisation, and provides real evidence to justify concern regarding its defects.
  • Outlays the damaging consequences that selection bias causes when it does occur.
  • Considers courses of action that can be taken to manage/ contain the problem.
  • Presents methods that can be used to detect selection bias in randomised trials, and methods to correct for selection bias.
  • Concludes by providing a comprehensive plan for managing baseline imbalances and selection bias in randomised trials, and proposing open problems for future research.

 Illustrated with case studies, this book introduces groundbreaking ideas and research that will be invaluable to researchers and practitioners who design and analyse clinical trials. It will also be of interest to graduate students within the field of biostatistics. 






Wednesday, May 22, 2013

Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis Reviews


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Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis provides the mathematic background necessary for students preparing for a career as a statistician in the biomedical field. The manual explains the steps a clinical statistician must take in clinical trials from protocol writing to subject randomization, to data monitoring, and on to writing a final report to the FDA. All of the necessary fundamentals of statistical analysis: survival and longitudinal data analysis are included. SAS procedures are explained with simple examples and the mathematics behind these SAS procedures are covered in detail with the statistical software program SAS which is implemented throughout the text. Complete codes are given for every example found in the text. The exercises featured throughout the guide are both theoretical and applied making it appropriate for those moving on to different clinical settings. Students will find Clinical Statistics to be a handy lab reference for coursework and in their future careers.

Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis

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Friday, May 17, 2013

%$$$ Quality Monitoring Clinical Trials: A CRAs job description


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What is a clinical research associate?"... is a question I hear time and time again. In a nutshell, it is an exciting job in the healthcare industry and this book will break it down in easy to understand steps. The job of a clinical research associate can sometimes look complex. It does indeed have a lot of moving parts, but, it is straight forward and can be easily picked up. However, because it requires a detailed oriented and hard working individual to monitor trials, JP Holdasham decided to share his experiences with other folks interested in learning more about being a clinical research associate(CRA) or monitor.

Like every other career, you learn the core components; become an expert in them and as your experience increases by... “doing the job" you become an expert. BY working with for Contract research organizations (CRO) as a CRA you participate in new drug trials that could involve Phases I – Phase IV. You work with the principal investigator (PI), the clinical research coordinator (CRC) under GCP and ICH guidelines to ensure the well being of the trial subjects and integrity of the trial.

Monitoring Clinical Trials will introduce you to the core duties of a clinical research monitor, how they prepare for any of their monitoring visits






Buy Assessing Quality of Life in Clinical Trials: Methods and Practice



Assessing Quality of Life in Clinical Trials: Methods and Practice by Oxford University Press, USA




Researchers in all clinical fields are fully aware of the importance of Quality of Life measurements in judging the efficacy of a given treatment. Psychological criteria play an important role in this evaluation. Assessment of Quality of Life in Clinical Trials: methods and practice explores the current state of the art and illustrates the benefits and potential of health related quality of life assessment in clinical trials. It covers a wide range of analytical issues, emphasizing new and innovative approaches that are of practical and clinical importance.Read more Assessing Quality of Life in Clinical Trials: Methods and Practice

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Monday, May 13, 2013

Best Clinical Trials in Oncology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics)



Clinical Trials in Oncology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics) by CRC Press




The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the pitfalls inherent in these processes. In addition, the book has been restructured to have separate chapters and expanded discussions on general clinical trials issues, and issues specific to Phases I, II, and III. New sections cover innovations in Phase I designs, randomized Phase II designs, and overcoming the challenges of array data.

Although this book focuses on cancer trials, the same issues and concepts are important in any clinical setting. As always, the authors use clear, lucid prose and a multitude of real-world examples to convey the principles of successful trials without the need for a strong statistics or mathematics background. Armed with Clinical Trials in Oncology, Third Edition, clinicians and statisticians can avoid the many hazards that can jeopardize the success of a trial.

Read more Clinical Trials in Oncology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics)

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  • Handbook of Statistics in Clinical Oncology, Third Edition
  • Fundamentals of Clinical Trials
  • Design and Analysis of Non-Inferiority Trials (Chapman & Hall/CRC Biostatistics Series)
  • Pharmaceutical Statistics Using SAS: A Practical Guide (SAS Press)
  • Sample Sizes for Clinical Trials



  • Wednesday, May 8, 2013

    When Experiments Travel: Clinical Trials and the Global Search for Human Subjects Shopping


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    Product Name : When Experiments Travel: Clinical Trials and the Global Search for Human Subjects

    The phenomenal growth of global pharmaceutical sales and the quest for innovation are driving an unprecedented search for human test subjects, particularly in middle- and low-income countries. Our hope for medical progress increasingly depends on the willingness of the world's poor to participate in clinical drug trials. While these experiments often provide those in need with vital and previously unattainable medical resources, the outsourcing and offshoring of trials also create new problems. In this groundbreaking book, anthropologist Adriana Petryna takes us deep into the clinical trials industry as it brings together players separated by vast economic and cultural differences. Moving between corporate and scientific offices in the United States and research and public health sites in Poland and Brazil, When Experiments Travel documents the complex ways that commercial medical science, with all its benefits and risks, is being integrated into local health systems and emerging drug markets.

    Providing a unique perspective on globalized clinical trials, When Experiments Travel raises central questions: Are such trials exploitative or are they social goods? How are experiments controlled and how is drug safety ensured? And do these experiments help or harm public health in the countries where they are conducted? Empirically rich and theoretically innovative, the book shows that neither the language of coercion nor that of rational choice fully captures the range of situations and value systems at work in medical experiments today. When Experiments Travel challenges conventional understandings of the ethics and politics of transnational science and changes the way we think about global medicine and the new infrastructures of our lives.

    When Experiments Travel: Clinical Trials and the Global Search for Human Subjects

    Product Description : When Experiments Travel: Clinical Trials and the Global Search for Human Subjects

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    Tuesday, May 7, 2013

    Best Quality of Life and Pharmacoeconomics in Clinical Trials



    Quality of Life and Pharmacoeconomics in Clinical Trials by Lippincott Williams & Wilkins




    The Second Edition of this groundbreaking work refines the art and science of quality of life assessment and pharmacoeconomics and redefines the role of these evaluation parameters in clinical trials and health care decision-making. Dr. Spilker has assembled more than 200 experts from diverse clinical, research, and social science disciplines to provide a comprehensive reference on the methodology, interpretation, and use of quality of life and pharmacoeconomic studies. Expanded to four times its predecessor's size and scope, the Second Edition features: all-new sections on pharmacoeconomics and crucial health policy issues such as outcomes research a new, extensive section on cross-cultural and cross-national issues in quality of life assessment detailed information on specific tests and measures of quality of life comprehensive guidelines on choosing and administering tests and analyzing, interpreting, and presenting data many chapters on new topics such as phenomenology, assessment of spiritual status, and alternative/complementary medical treatmentsRead more Quality of Life and Pharmacoeconomics in Clinical Trials

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  • Clinical Epidemiology: The Essentials
  • Survival Analysis Using SAS: A Practical Guide, Second Edition



  • Monday, May 6, 2013

    ****** Best Revews Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health)


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    Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health) Description

    The approach taken in this book is to studies monitored over time, what the Central Limit Theorem is to studies with only one analysis. Just as the Central Limit Theorem shows that test statistics involving very different types of clinical trial outcomes are asymptotically normal, this book shows that the joint distribution of the test statistics at different analysis times is asymptotically multivariate normal with the correlation structure of Brownian motion (“the B-value") irrespective of the test statistic. The so-called B-value approach to monitoring allows us to use, for different types of trials, the same boundaries and the same simple formula for computing conditional power. Although Brownian motion may sound complicated, the authors make the approach easy by starting with a simple example and building on it, one piece at a time, ultimately showing that Brownian motion works for many different types of clinical trials.

    The book will be very valuable to statisticians involved in clinical trials. The main body of the chapters is accessible to anyone with knowledge of a standard mathematical statistics text. More mathematically advanced readers will find rigorous developments in appendices at the end of chapters. Reading the book will develop insight into not only monitoring, but power, survival analysis, safety, and other statistical issues germane to clinical trials.

    Michael Proschan, Gordon Lan, and Janet Wittes are elected Fellows of the American Statistical Association. All have spent formative years in the Biostatistics Research Branch of the National Heart, Lung, and Blood Institute (NHLBI/NIH). While there, they were intimately involved in the design and statistical monitoring of large-scale randomized clinical trials, developing methodology to aid in their monitoring. For example, Lan developed, with DeMets, the now widely-used spending function approach to group sequential designs, whose properties were further investigated by Proschan. The B-value approach used in the book was introduced in a very influential paper by Lan and Wittes. The statistical theory behind conditional power was developed by Lan, along with Simon and Halperin, and was the cornerstone for the conditional error approach to adaptive clinical trials introduced by Proschan and Hunsberger. All three authors have expertise in adaptive methodology for clinical trials.

    Michael Proschan is a Mathematical Statistician at the National Institutes of Health; Gordon Lan is Senior Director of Biometrics at Johnson & Johnson Pharmaceutical Research and Development, L.L.C.; Janet Wittes is President of Statistics Collaborative, a statistical consulting company she founded in 1990.






    Wednesday, May 1, 2013

    Clinical Trials: A Practical Approach Reviews


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    Product Name : Clinical Trials: A Practical Approach

    This comprehensive, unified text on the principles and practice of clinical trials presents a detailed account of how to conduct the trials. It describes the design, analysis, and interpretation of clinical trials in a non-technical manner and provides a general perspective on their historical development, current status, and future strategy. Features examples derived from the author's personal experience.

    Clinical Trials: A Practical Approach

    Product Description : Clinical Trials: A Practical Approach

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    Saturday, April 27, 2013

    %$$$ Revews Design and Analysis of Clinical Trials: Concept and Methodologies (Wiley Series in Probability and Statistics)


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    Design and Analysis of Clinical Trials: Concept and Methodologies (Wiley Series in Probability and Statistics)

    Main Features : Design and Analysis of Clinical Trials: Concept and Methodologies (Wiley Series in Probability and Statistics)

    A unique, unifying treatment for statistics and science in clinical trials

    What sets this volume apart from the many books dealing with clinical trials is its integration of statistical and clinical disciplines. Stressing communication between biostatisticians and clinical scientists, this work clearly relates statistical interpretation to clinical issues arising in different stages of pharmaceutical research and development. Plus, the principles presented here are universal enough to be easily adapted in non-biopharmaceutical settings.

    Design and Analysis of Clinical Trials tackles concepts and methodologies. It not only covers statistical basics such as uncertainty and bias, design considerations such as patient selection, randomization, and the different types of clinical trials but also deals with various methods of data analysis, group sequential procedures for interim analysis, efficacy data evaluation, analysis of safety data, and more. Throughout, the book:
    * Surveys current and emerging clinical issues and newly developed statistical methods
    * Presents a critical review of statistical methodologies in various therapeutic areas
    * Features case studies from actual clinical trials
    * Minimizes the mathematics involved, making the material widely accessible
    * Offers each chapter as a self-contained entity
    * Includes illustrations to highlight the text

    This monumental reference on all facets of clinical trials is important reading for physicians, clinical and medical researchers, pharmaceutical scientists, clinical programmers, biostatisticians, and anyone involved in this burgeoning area of clinical research. It can also be used as a textbook in graduate-level courses in the field.






    Sunday, April 21, 2013

    Best Cross-over Trials in Clinical Research (Statistics in Practice)



    Cross-over Trials in Clinical Research (Statistics in Practice) by Wiley




    Cross-over trials are an important class of design used in the pharmaceutical industry and medical research, and their use continues to grow. Cross-over Trials in Clinical Research, Second Edition has been fully updated to include the latest methodology used in the design and analysis of cross-over trials. It includes more background material, greater coverage of important statistical techniques, including Bayesian methods, and discussion of analysis using a number of statistical software packages.
    * Comprehensive coverage of the design and analysis of cross-over trials.

    * Each technique is carefully explained and the mathematics is kept to a minimum.

    * Features many real and original examples, taken from the author's vast experience.

    * Includes discussion of analysis using SAS, S-Plus and, GenStat, StatXact and Excel.

    * Written in a style suitable for statisticians and physicians alike.

    * Computer programs to accompany the examples in the book can be downloaded from the Web


    Primarily aimed at statisticians and researchers working in the pharmaceutical industry, the book will also appeal to physicians involved in clinical research and students of medical statistics.Read more Cross-over Trials in Clinical Research (Statistics in Practice)

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  • Design and Analysis of Cross-Over Trials, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
  • Statistical Issues in Drug Development (Statistics in Practice)
  • Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)
  • Design and Analysis of Bioavailability and Bioequivalence Studies, Third Edition (Chapman & Hall/CRC Biostatistics Series)
  • Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics)



  • %$$$ Quality Research Methods in Community Medicine: Surveys, Epidemiological Research, Programme Evaluation, Clinical Trials


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    • A simple and systematic guide to the planning and performance of investigations concerned with health and disease and with health care
    • Offers researchers help in choosing a topic and to think about shaping objectives and ideas and to link these with the appropriate choice of method
    • Fully updated with new sections on the use of the Web and computer programmes freely available in the planning, performance or analysis of studies






    Thursday, April 18, 2013

    +++ Design, Execution, and Management of Medical Device Clinical Trials reviews


    Design, Execution, and Management of Medical Device Clinical Trials

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    "Design, Execution, and Management of Medical Device Clinical Trials" Feature

    An essential introduction to conducting the various stages of medical device clinical trials

    Clinical research continues to be one of the most vital components of pharmaceutical, biostatistical, and medical studies. Design, Execution, and Management of Medical Device Clinical Trials provides a uniform methodology for conducting and managing clinical trials. Written in a style that is accessible to readers from diverse educational and professional backgrounds, this book provides an in-depth and broad overview for successfully performing clinical tasks and activities.

    Throughout the book, practical examples compiled from both the author's and other researchers' previous clinical trial experiences are discussed in a sequential manner as they occur in the study, starting from the development of the clinical protocol and the selection of clinical sites and ending with the completion of the final clinical study report. Next, readers are guided through the development of important clinical documents, including informed consent forms, case report forms, and study logs. A careful review of the Food and Drug Administration (FDA) and International Conference on Harmonisation (ICH) regulations applicable to medical devices is also featured. Additional coverage includes:

    • Qualification and selection of investigators

    • Study monitoring visits

    • Definitions and reporting procedures for adverse events

    • The use of biostatistical methodology in clinical research, including the use of biostatistics for sample size determination and study endpoints

    • The roles and responsibilities of all members of a clinical research team

    The book concludes with an insightful discussion of special ethical conduct for human research and challenging issues to consider during the design of clinical studies. A glossary lists important clinical and statistical terms used in clinical research, and an extensive reference section provides additional resources for the most up-to-date literature on the topic.

    Design, Execution, and Management of Medical Device Clinical Trials is an excellent book for clinical research or epidemiology courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for clinical research associates, clinical managers, clinical scientists, biostatisticians, pharmacologists, and any professional working in the field of clinical research who would like to better understand clinical research practices.





    Best Fundamentals of Clinical Trials



    Fundamentals of Clinical Trials by Springer




    The randomized control clinical trial has become the gold standard scientific method for the evaluation of pharmaceuticals, biologics, devices, procedures and diagnostic tests. This trial design has been successfully used in both therapeutic and disease prevention trials. It is superior to alternative designs by eliminating several sources of bias which exist in those designs. This role has evolved over the past three decades in a number of disease areas including cardiology, opthalmology, cancer and AIDS. While the specifics of using the randomized control design for a specific intervention and disease may differ, the basic fundamentals still apply in developing the study protocol and operational procedures. These fundamentals still apply in developing the study protocol and operational procedures. These fundamentals include identifying the specific questions to be tested and appropriate outcome measures, determining an adequate sample size, specifying the randomization procedure, detailing the intervention with visit schedules for subject evaluation, establishing an interim data and safety monitoring plan, detailing the final analysis plan and determining the organizational structure. This text is structured to address the fundamentals as the protocol for a clinical trial is being developed. A chapter is devoted to each of the critical areas of a protocol to aid the clinical trial researcher. The fundamentals described in this text are based on sound scientific methodology, statistical principles and years of accumulated experience by the three authors. Collectively, the authors have been active researchers in a broad area of clinical trials including cardiology, cancer, opthalmology, diabetes, osteoporosis, AIDS, women's health and screening tests. In these studies, the authors have served as members of the steering committee responsible for developing the protocol and as members of data and safety monitoring committees. The fundamentals were proposed in the first edition published in 1981 and have not changed substantially in the later editions. However, the number of examples illustrating the fundamentals has greatly expanded base on the collective experience of the authors. This text is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must critically evaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients. The test uses numerous examples of published clinical trials from a variety of medical disciples to meaningfully illustrate the fundamentals. Technical design issues such as sample size are considered but the technical details have been suppressed as much as possible through the use of graphs and tables. While the technical material has been kept to a minimum, the statistician may still find the principles and fundamentals presented in this text useful both in a consulting and teaching capacity. The text assumes that the readers have only a modest formal statistical background. A basic introductory statistics course is helpful in maximizing the benefit of the text. However, a researcher or practitioner with no statistical background would still find most, if not all the chapters understandable and useful.Read more Fundamentals of Clinical Trials

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