Statistical Methods in Medical Investigations

Author by : Brian S. Everitt
Languange Used : en
Release Date : 1994
Publisher by :

ISBN :

Description : ...

Author by : Brian Everitt
Languange Used : en
Release Date : 1994
Publisher by : Hodder Education

ISBN :

Description : This expanded and updated second edition builds upon the success of its predecessor in providing a concise, practical and yet relatively non-technical account of those more sophisticated statistical techniques now used routinely in many medical investigations. The new edition gives additional space to such important topics as the design of medical investigations, regression and logistic regression, the analysis of longitudinal studies, the problems of missing data, and the analysis of observational studies. All chapters include new examples. Statistical Methods for Medical Investigations is aimed at medical statisticians and other researchers working in the medical field....

Author by : Brian Everitt
Languange Used : en
Release Date : 1989
Publisher by : John Wiley & Sons Incorporated

ISBN :

Description : This book answers the need for a guide to the advanced statistical techniques used in medical research and related disciplines that are not covered in introductory texts. The author avoids complicated mathematics and makes use of many concrete examples similar to those encountered by clinical investigators. The book acts as a guide to the type of statistical methodology increasingly used in modern research, covering such topics as survival analysis, regression, and the design of clinical trials....

Author by : Xiao-Hua Zhou
Languange Used : en
Release Date : 2014-08-21
Publisher by : John Wiley & Sons

ISBN :

Description : Praise for the First Edition " . . . the book is a valuable addition to the literature in thefield, serving as a much-needed guide for both clinicians andadvanced students."—Zentralblatt MATH A new edition of the cutting-edge guide to diagnostic tests inmedical research In recent years, a considerable amount of research has focusedon evolving methods for designing and analyzing diagnostic accuracystudies. Statistical Methods in Diagnostic Medicine, Second Editioncontinues to provide a comprehensive approach to the topic, guidingreaders through the necessary practices for understanding thesestudies and generalizing the results to patient populations. Following a basic introduction to measuring test accuracy andstudy design, the authors successfully define various measures ofdiagnostic accuracy, describe strategies for designing diagnosticaccuracy studies, and present key statistical methods forestimating and comparing test accuracy. Topics new to the SecondEdition include: Methods for tests designed to detect and locate lesions Recommendations for covariate-adjustment Methods for estimating and comparing predictive values andsample size calculations Correcting techniques for verification and imperfect standardbiases Sample size calculation for multiple reader studies when pilotdata are available Updated meta-analysis methods, now incorporating randomeffects Three case studies thoroughly showcase some of the questions andstatistical issues that arise in diagnostic medicine, with allassociated data provided in detailed appendices. A related web sitefeatures Fortran, SAS®, and R software packages so thatreaders can conduct their own analyses. Statistical Methods in Diagnostic Medicine, Second Edition is anexcellent supplement for biostatistics courses at the graduatelevel. It also serves as a valuable reference for clinicians andresearchers working in the fields of medicine, epidemiology, andbiostatistics....

Author by : Cancel
Languange Used : en
Release Date :
Publisher by :

ISBN :

Description : ...

Author by : Margaret Sullivan Pepe
Languange Used : en
Release Date : 2003-03-13
Publisher by : OUP Oxford

ISBN :

Description : This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine....

Author by : Scott A. Pardo
Languange Used : en
Release Date : 2023-04-24
Publisher by : Springer Nature

ISBN :

Description : This book provides a reference for people working in the design, development, and manufacturing of medical devices. ​While there are no statistical methods specifically intended for medical devices, there are methods that are commonly applied to various problems in the design, manufacturing, and quality control of medical devices. The aim of this book is not to turn everyone working in the medical device industries into mathematical statisticians; rather, the goal is to provide some help in thinking statistically, and knowing where to go to answer some fundamental questions, such as justifying a method used to qualify/validate equipment, or what information is necessary to support the choice of sample sizes. While, there are no statistical methods specifically designed for analysis of medical device data, there are some methods that seem to appear regularly in relation to medical devices. For example, the assessment of receiver operating characteristic curves is fundamental to development of diagnostic tests, and accelerated life testing is often critical for assessing the shelf life of medical device products. Another example is sensitivity/specificity computations are necessary for in-vitro diagnostics, and Taguchi methods can be very useful for designing devices. Even notions of equivalence and noninferiority have different interpretations in the medical device field compared to pharmacokinetics. It contains topics such as dynamic modeling, machine learning methods, equivalence testing, and experimental design, for example. This book is for those with no statistical experience, as well as those with statistical knowledgeable—with the hope to provide some insight into what methods are likely to help provide rationale for choices relating to data gathering and analysis activities for medical devices....