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Author: Win M. Castle
Publisher:
ISBN: 9780443045424
Category : Biometry
Languages : en
Pages : 0
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Book Description
Many medical and pharmaceutical workers have very little knowledge of statistics. Yet statistics is one of the tools must commonly used in their field. This book aims to give the reader a clear understanding of statistics, particularly in a medical context.The book has been carefully structured to make it easy to use and to learn from. The numerical examples used are simple, to ensure the reader grasps quickly the underlying principles, and the first part of the book is particularly easy reading to encourage the reader initially. The main part of the book dispenses in formation in small doses called 'frames' with questions and answers designed to continously test the reader's grasp of the subject matter. This makes the book particularly useful for self-testing - a powerful way to learn. Moreover, many of the answers feature further explanation or comment to give background to the point being made.As a whole, the book is meant to be read from start to finish (not 'dipped into') so that each point leads on logically, building up the reader's knowledge sequentially. However to cement that knowledge and help revision, each chapter ends with revision summaries covering fully the chapter
Author: Win M. Castle
Publisher:
ISBN: 9780443045424
Category : Biometry
Languages : en
Pages : 0
Get Book Here
Book Description
Many medical and pharmaceutical workers have very little knowledge of statistics. Yet statistics is one of the tools must commonly used in their field. This book aims to give the reader a clear understanding of statistics, particularly in a medical context.The book has been carefully structured to make it easy to use and to learn from. The numerical examples used are simple, to ensure the reader grasps quickly the underlying principles, and the first part of the book is particularly easy reading to encourage the reader initially. The main part of the book dispenses in formation in small doses called 'frames' with questions and answers designed to continously test the reader's grasp of the subject matter. This makes the book particularly useful for self-testing - a powerful way to learn. Moreover, many of the answers feature further explanation or comment to give background to the point being made.As a whole, the book is meant to be read from start to finish (not 'dipped into') so that each point leads on logically, building up the reader's knowledge sequentially. However to cement that knowledge and help revision, each chapter ends with revision summaries covering fully the chapter
Author: Clifton Leaf
Publisher: Simon and Schuster
ISBN: 1476739986
Category : History
Languages : en
Pages : 513
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Book Description
A decade ago Leaf, a cancer survivor himself, began to investigate why we had made such limited progress fighting this terrifying disease. The result is a gripping narrative that reveals why the public's immense investment in research has been badly misspent, why scientists seldom collaborate and share their data, why new drugs are so expensive yet routinely fail, and why our best hope for progress-- brilliant young scientists-- are now abandoning the search for a cure.
Author: Winifred Mary Castle
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 220
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Book Description
Author: Byron J. T. Morgan
Publisher: Oxford University Press
ISBN: 9780198523291
Category : Mathematics
Languages : en
Pages : 250
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Book Description
This collection of papers on aspects of statistics in toxicology is will be of interest to all medical statisticians. It offers findings from numerous leading experts from around the world including A. Whitehead and R. N. Connor (University of Reading), L. Ryan (Harvard), A. P. Grieve (Pfizer Research), K.J. Risko (Northern Telecom), and B.H. Margolin (University of North Carolina). This is the latest in the popular Royal Statistical Society Lecture Series, and will be essential reading for all those involved in this area.
Author: John C. Bailar III
Publisher: CRC Press
ISBN: 0429529600
Category : Mathematics
Languages : en
Pages : 488
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Book Description
This work explains the purpose of statistical methods in medical studies and analyzes the statistical techniques used by clinical investigators, with special emphasis on studies published in "The New England Journal of Medicine". It clarifies fundamental concepts of statistical design and analysis, and facilitates the understanding of research results.
Author: Rick H. Hoyle
Publisher: SAGE Publications
ISBN: 1506320082
Category : Social Science
Languages : en
Pages : 394
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Book Description
Newer statistical models, such as structural equation modeling and hierarchical linear modeling, require large sample sizes inappropriate for many research questions or unrealistic for many research arenas. How can researchers get the sophistication and flexibility of large sample studies without the requirement of prohibitively large samples? This book describes and illustrates statistical strategies that meet the sophistication/flexibility criteria for analyzing data from small samples of fewer than 150 cases. Contributions from some of the leading researchers in the field cover the use of multiple imputation software and how it can be used profitably with small data sets and missing data; ways to increase statistical power when sample size cannot be increased; and strategies for computing effect sizes and combining effect sizes across studies. Other contributions describe how to hypothesis test using the bootstrap; methods for pooling effect size indicators from single-case studies; frameworks for drawing inferences from cross-tabulated data; how to determine whether a correlation or covariance matrix warrants structure analysis; and what conditions indicate latent variable modeling is a viable approach to correct for unreliability in the mediator. Other topics include the use of dynamic factor analysis to model temporal processes by analyzing multivariate; time-series data from small numbers of individuals; techniques for coping with estimation problems in confirmatory factor analysis in small samples; how the state space model can be used with surprising accuracy with small data samples; and the use of partial least squares as a viable alternative to covariance-based SEM when the N is small and/or the number of variables in a model is large.
Author: David Diez
Publisher:
ISBN: 9781943450046
Category :
Languages : en
Pages :
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Book Description
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
Author: Nikki Stern
Publisher: Nikki Stern/Ruthenia Press
ISBN:
Category : Social Science
Languages : en
Pages : 93
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Book Description
What is hope? Is it instinctive or learned? How do we add it to our lives? In HOPE IN SMALL DOSES, author Nikki Stern searches to find hope after tragedy strikes. She devises a version that doesn't require guarantees but relies on the promise of possibility. The perfect antidote to our cynical troubled times, HOPE IN SMALL DOSES offers a workable blueprint for a happy life. Original photography by Cherie Siebert.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309171148
Category : Medical
Languages : en
Pages : 221
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Book Description
Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.
Author: John C. Bailar
Publisher: John Wiley & Sons
ISBN: 1118211189
Category : Medical
Languages : en
Pages : 393
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Book Description
A new edition of the classic guide to the use of statistics in medicine, featuring examples from articles in the New England Journal of Medicine Medical Uses of Statistics has served as one of the most influential works on the subject for physicians, physicians-in-training, and a myriad of healthcare experts who need a clear idea of the proper application of statistical techniques in clinical studies as well as the implications of their interpretation for clinical practice. This Third Edition maintains the focus on the critical ideas, rather than the mechanics, to give practitioners and students the resources they need to understand the statistical methods they encounter in modern medical literature. Bringing together contributions from more than two dozen distinguished statisticians and medical doctors, this volume stresses the underlying concepts in areas such as randomized trials, survival analysis, genetics, linear regression, meta-analysis, and risk analysis. The Third Edition includes: Numerous examples based on studies taken directly from the pages of the New England Journal of Medicine Two added chapters on statistics in genetics Two new chapters on the application of statistical methods to studies in epidemiology New chapters on analyses of randomized trials, linear regression, categorical data analysis, meta-analysis, subgroup analyses, and risk analysis Updated chapters on statistical thinking, crossover designs, p-values, survival analysis, and reporting research results A focus on helping readers to critically interpret published results of clinical research Medical Uses of Statistics, Third Edition is a valuable resource for researchers and physicians working in any health-related field. It is also an excellent supplemental book for courses on medicine, biostatistics, and clinical research at the upper-undergraduate and graduate levels. You can also visit the New England Journal of Medicine website for related information.
