[PDF] Understanding Clinical Data Analysis - eBooks Review

Understanding Clinical Data Analysis


Understanding Clinical Data Analysis
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Understanding Clinical Research


Understanding Clinical Research
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Author : Renato D. Lopes
language : en
Publisher: McGraw Hill Professional
Release Date : 2013-05-22

Understanding Clinical Research written by Renato D. Lopes and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-22 with Medical categories.


A complete guide to understanding and applying clinical research results Ideal for both researchers and healthcare providers Understanding Clinical Research addresses both the operational challenges of clinical trials and the needs of clinicians to comprehend the nuances of research methods to accurately analyze study results. This timely resource covers all aspects of clinical trials--from study design and statistics to regulatory oversight--and it delivers a detailed yet streamlined overview of must-know research topics. The text features an accessible three-part organization that traces the evolution of clinical research and explains the bedrock principles and unique challenges of clinical experimentation and observational research. Reinforcing this content are real-life case examples--drawn from the authors' broad experience--that put chapter concepts into action and contribute to a working knowledge of integral research techniques. FEATURES: The most definitive guide to promoting excellence in clinical research, designed to empower healthcare providers to assess a study's strengths and weaknesses with confidence and apply this knowledge to optimize patient outcomes In-depth coverage of fundamental research methods and protocols from preeminent authorities provides readers with an instructive primer and a springboard for ongoing clinical research education Clear, comprehensive three-part organization: Section One: Evolution of Clinical Research offers a succinct history of clinical trials, drug regulations, and the role of the FDA while covering the impact of information technology and academic research organizations Section Two: Principles of Clinical Experimentation takes you through the typical phases of clinical trials in the development of medical products, from initial human subject research to postapproval surveillance studies Section Three: Observational Research highlights the underlying principles, pitfalls, and methods for case-control studies, cohort studies, registries, and subgroup analyses within randomized trials



Understanding Clinical Data Analysis


Understanding Clinical Data Analysis
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Author : Ton J. Cleophas
language : en
Publisher: Springer
Release Date : 2016-08-23

Understanding Clinical Data Analysis written by Ton J. Cleophas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-23 with Medical categories.


This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after having done so, why procedures were performed the way they were. The book is also a must-read to those who tend to submerge in the flood of novel statistical methodologies, as communicated in current clinical reports, and scientific meetings. In the past few years, the HOW-SO of current statistical tests has been made much more simple than it was in the past, thanks to the abundance of statistical software programs of an excellent quality. However, the WHY-SO may have been somewhat under-emphasized. For example, why do statistical tests constantly use unfamiliar terms, like probability distributions, hypothesis testing, randomness, normality, scientific rigor, and why are Gaussian curves so hard, and do they make non-mathematicians getting lost all the time? The book will cover the WHY-SOs.



Clinical Trial Data Analysis Using R And Sas


Clinical Trial Data Analysis Using R And Sas
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Author : Ding-Geng (Din) Chen
language : en
Publisher: CRC Press
Release Date : 2017-06-01

Clinical Trial Data Analysis Using R And Sas written by Ding-Geng (Din) Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-01 with Mathematics categories.


Review of the First Edition "The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it ...The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods."—Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book’s practical, detailed approach draws on the authors’ 30 years’ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data. What’s New in the Second Edition Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS to clinical trial data from hypertension, duodenal ulcer, beta blockers, familial andenomatous polyposis, and breast cancer trials. Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials.



Understanding Clinical Research


Understanding Clinical Research
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Author : Kathryn Biddle
language : en
Publisher: Scion Publishing Ltd
Release Date : 2023-05-17

Understanding Clinical Research written by Kathryn Biddle and has been published by Scion Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-17 with Medical categories.


It is important for healthcare professionals to understand the basics of clinical research. This book offers a thorough explanation of the principles of clinical research, alongside a wide range of worked examples which show how these principles are applied in practice. Understanding Clinical Research takes readers from how to develop research questions, through the design of research studies, to disseminating research findings. Ethical considerations, research integrity, patient involvement, and study funding are all covered, along with an introduction to the key statistical methods needed for data analysis. Ideal for any healthcare professional: interested in understanding more about the development of evidence-based practice wanting to undertake research but not sure where to start considering or just starting a PhD / MD, or a PGCert in Research Studies



Medical Statistics


Medical Statistics
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Author : Jennifer Peat
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15

Medical Statistics written by Jennifer Peat and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Medical categories.


Holistic approach to understanding medical statistics This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research. Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs. Showing you how to: analyse data with the help of data set examples (Click here to download datasets) select the correct statistics and report results for publication or presentation understand and critically appraise results reported in the literature Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites. Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.



Sharing Clinical Trial Data


Sharing Clinical Trial Data
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Author : Institute of Medicine
language : en
Publisher: National Academies Press
Release Date : 2015-04-20

Sharing Clinical Trial Data written by Institute of Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-20 with Medical categories.


Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.



Medical Statistics


Medical Statistics
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Author : Richard Kay
language : en
Publisher:
Release Date : 2020

Medical Statistics written by Richard Kay and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Medical statistics categories.




Strategy And Statistics In Clinical Trials


Strategy And Statistics In Clinical Trials
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Author : Joseph Tal
language : en
Publisher:
Release Date : 2011

Strategy And Statistics In Clinical Trials written by Joseph Tal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


Strategy and Statistics in Clinical Trials is for all individuals engaged in clinical research, including professors, physicians, researchers in corporate and government laboratories, nurses, members of the allied health professions, and post-doctoral and graduate students who are potentially less exposed to understanding the pivotal role of statistics. • Enables nonstatisticians to better understand research processes and statistics' role in these processes • Offers real-life case studies and provides a practical, "how to" guide to biomedical R&D • Delineates the statistical building blocks and concepts of clinical trials • Promotes effective cooperation between statisticians and important other parties.



Biomarker Analysis In Clinical Trials With R


Biomarker Analysis In Clinical Trials With R
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Author : Nusrat Rabbee
language : en
Publisher: CRC Press
Release Date : 2020-03-11

Biomarker Analysis In Clinical Trials With R written by Nusrat Rabbee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-11 with Mathematics categories.


The world is awash in data. This volume of data will continue to increase. In the pharmaceutical industry, much of this data explosion has happened around biomarker data. Great statisticians are needed to derive understanding from these data. This book will guide you as you begin the journey into communicating, understanding and synthesizing biomarker data. -From the Foreword, Jared Christensen, Vice President, Biostatistics Early Clinical Development, Pfizer, Inc. Biomarker Analysis in Clinical Trials with R offers practical guidance to statisticians in the pharmaceutical industry on how to incorporate biomarker data analysis in clinical trial studies. The book discusses the appropriate statistical methods for evaluating pharmacodynamic, predictive and surrogate biomarkers for delivering increased value in the drug development process. The topic of combining multiple biomarkers to predict drug response using machine learning is covered. Featuring copious reproducible code and examples in R, the book helps students, researchers and biostatisticians get started in tackling the hard problems of designing and analyzing trials with biomarkers. Features: Analysis of pharmacodynamic biomarkers for lending evidence target modulation. Design and analysis of trials with a predictive biomarker. Framework for analyzing surrogate biomarkers. Methods for combining multiple biomarkers to predict treatment response. Offers a biomarker statistical analysis plan. R code, data and models are given for each part: including regression models for survival and longitudinal data, as well as statistical learning models, such as graphical models and penalized regression models.



Understanding And Evaluating Research In Applied And Clinical Settings


Understanding And Evaluating Research In Applied And Clinical Settings
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Author : George A. Morgan
language : en
Publisher: Psychology Press
Release Date : 2006-04-21

Understanding And Evaluating Research In Applied And Clinical Settings written by George A. Morgan and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-21 with Education categories.


Clinically oriented professionals and students need to understand and evaluate the research and statistics in professional articles, especially given today's emphasis on evidence-based practice. This book demonstrates how the research approach and design help determine the appropriate statistical analysis. Understanding and Evaluating Research in Applied and Clinical Settings features: *short, independent, chapters that do not have to be read in order; *a guide to understanding why a particular statistic was selected; *an emphasis on effects sizes including measures of risk potency; *numerous cross-disciplinary examples to illustrate the material; and *methods to help determine practical and clinical significance and their relation to meta-analysis and evidence-based practice. This book is intended for practitioners and students in psychology, education, counseling, mental and allied health, nursing, and medicine, and as a text for courses on understanding research methods and statistics.