Last edited by Tygor
Tuesday, July 21, 2020 | History

11 edition of Statistical Evidence in Medical Trials found in the catalog.

Statistical Evidence in Medical Trials

Mountain or Molehill, What Do the Data Really Tell Us?

by Stephen Simon

  • 186 Want to read
  • 31 Currently reading

Published by Oxford University Press, USA .
Written in English


The Physical Object
Number of Pages197
ID Numbers
Open LibraryOL7401122M
ISBN 100198567618
ISBN 109780198567615

Clinical and statistical reasoning are both crucial to progress in medicine. Clinical researchers must generalize from the few to many and combine empirical evidence with theory.. In both medical and statistical sciences, empirical knowledge is generated from observations and data. Medical theory is based upon established biology and hypotheses. A complete guide to the key statistical concepts essential for the design and construction of clinical trials. As the newest major resource in the field of medical research, Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs presents a timely and authoritative reviewof the central statistical concepts used to build clinical trials.

A book that effectively focuses on the statistical aspects of medicine with a medical perspective is clearly needed. To enhance focus, this book is titled Medical : Abhaya Indrayan. “Medical Statistics: For Beginners by Dr H. K. Ramakrishna is a guide for the beginning researcher, or the medical student or resident interested in readying a manuscript or starting off for the first time conducting a study, to understand basic statistics. this book is highly suitable for a medical beginner who needs a solid reference to learn about a wide variety of basic Brand: Springer Singapore.

Book Description. Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. Introduction: Regulatory views of substantial evidence When thinking about the use of statistics in clin-ical trials, the first thing that comes to mind for many people is the process of hypothesis testing and the associated use of p values. This is very reasonable, because the role of a chance outcome is of utmost importance in study.


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Statistical Evidence in Medical Trials by Stephen Simon Download PDF EPUB FB2

Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or Cited by: In Statistical Evidence in Medical Trials: What Do the Data Tell Us.

author Stephen Simon attempts to introduce readers with limited statistical backgrounds to some of the major methodological issues of interest in the medical literature. The book is divided into seven major sections, which cover selection of the control group, trial exclusion criteria and patient refusal/dropout, the Statistical Evidence in Medical Trials book by: Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research.

Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or /5(4).

Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research.

Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for /5(5). Experimental studies or clinical trials are analyzed in much the same manner.

In clinical trials, patients are followed until some outcome is observed in the planned study period; these are incidence studies. As incidence studies, the RR will be the measure of association tested for statistical by: 7.

Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or.

Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for.

After reading the first paragraph of this book, I was immediately drawn in, mesmerised, and entertained right through to the end of the book. That says a lot for a book about statistics.

It reads better than some of my bedside novels, but is not at all fictional. The book begins with a statistical joke—a perfect introduction for both the serious statistician and the more lighthearted Author: Janet Martin.

After reading the first paragraph of Statistical Evidence in Medical Trials: and entertained right through to the end of the book. That says a lot for a book about statistics. It reads better than some of my bedside novels, but is not at all fictional. The book begins with a statistical joke—a perfect introduction for.

Finally, ‘Where is the Evidence’ gives an overview of how to search for information in databases, literature, and the Internet. A characteristic feature of this book is the extensive use of real‐world medical examples to illustrate the topics discussed, which I found very useful.

Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. We use cookies to enhance your experience on our website.

Statistical Evidence in Medical Trials (created ) I have written a book, Statistical Evidence in Medical Trials, What Do the Data Really Tell Us.

through Oxford University Press. This page has information about my book. Update: October 1, Statistical evidence in medical trials: what do the data really tell us?.

[Stephen D Simon] Addresses common pitfalls in evaluating medical research. This book is suitable for health care professionals, # Clinical trials--Statistical methods\/span>\n \u00A0\u00A0\u00A0\n schema.

Get this from a library. Statistical evidence in medical trials: what do the data really tell us?. [Stephen D Simon] -- Aimed at students and researchers in statistics and in the medical and health care sector as well as those who use and assess medical data, this work addresses common pitfalls in.

Written by one of the preeminent experts in the field, this book provides a useful desk reference and state-of-the art examination of problematic issues in clinical trials for scientists in the pharmaceutical industry, medical/statistical reviewers in government regulatory agencies, and.

Chapter 7 introduces how to begin the search for evidence. There is quite an in-depth guide to using PubMed including Mesh headings, tags, filters, etc. This is a useful guideline, whilst directing the reader to a librarian for more advanced help. This book is a clear, concise, and interesting read and should prove to be a useful by: 1.

The book is an educational and approachable reference in a difficult area of medicine where clinicians often feel uncertain and this material helps them review, appraise and publish trials and clinical evidence.

The audience for the book includes physicians, statisticians, pharmacists, medical students, clinical researchers, medical writers. Stephen Simon’s Statistical Evidence in Medical Trials is an enjoyable book that attempts to provide a simple guide for the consumer of the medical research literature.

In general, he has accomplished this, but I think a number of important topics have not been covered. The topics covered in Statistical Evidence in Medicine include the use of control groups and randomization, external validity, effect size and clinical significance, evaluating causality using Hill's criteria, meta-analysis, explanations of common terms such as p-values and confidence intervals, and how to search for research articles.

After providing an overview of clinical development and statistics, the book explores questions when planning clinical trials, along with the attributes of medical products. It then explains how to set research objectives and goes on to consider statistical thinking, estimation, testing procedures, and statistical significance, explanation and.

The book focuses on novel therapies and the unique challenges their intended targets pose for the design and analysis of clinical trials. This volume provides neurologists, neuroscientists, and drug developers with a more complete understanding of the scientific and medical issues of relevance in designing and initiating clinical development.

In addition, this book: Features accessible and broad coverage of statistical design methodsthe crucial building blocks of clinical trials and medical research -- now complete with new chapters on overall development, middle development, comparative studies, and adaptive designs Teaches readers to design clinical trials that produce valid Author: Steven Piantadosi.Statistical Questions in Evidence-based Medicine is a book of questions and answers designed to help readers improve their skills in critical reading of the medical literature and in evaluation of research evidence.

It is intended for medical students, doctors, medical researchers, and all who want to need to read research literature in a medical or health context.