Cover of: Design and analysis of reliability studies | G. Dunn Read Online
Share

Design and analysis of reliability studies the statistical evaluation of measurement errors by G. Dunn

  • 452 Want to read
  • ·
  • 86 Currently reading

Published by Oxford University Press, E. Arnold in New York, London .
Written in English

Subjects:

  • Error analysis (Mathematics)

Book details:

Edition Notes

StatementGraham Dunn.
Classifications
LC ClassificationsQA275 .D86 1989
The Physical Object
Paginationviii, 198 p. :
Number of Pages198
ID Numbers
Open LibraryOL2214629M
ISBN 100195207041
LC Control Number89037696

Download Design and analysis of reliability studies

PDF EPUB FB2 MOBI RTF

1. Stat Methods Med Res. ;1(2) Design and analysis of reliability studies. Dunn G(1). Author information: (1)Department of Biostatistics and Computing, Institute of Psychiatry, Camberwell, London, UK. This review covers the design and analysis of essentially two types of reliability study: method comparison studies and generalizability (including inter-rater reliability) by: The design and analysis of reliability studies for the use of epidemiological and audit indices in orthodontics Article (PDF Available) in British journal of orthodontics 24(2) June The statistical methods used in the assessment of precision bias and reliability are common to virtually all fields of scientific research. This book gives a practically orientated guide to the reliability of measurements with a wide range of illustrative data. Reliability in qualitative studies is mostly a matter of “being thorough, careful and honest in carrying out the research” (Robson, ). In qualitative interviews, this issue relates to a number of practical aspects of the process of interviewing, including the wording of .

About this book First published in , this unique reference to clinical experimentation remains just as relevant today. Focusing on the principles of design and analysis of studies on human subjects, this book utilizes and integrates both modern and classical designs. Bringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and Reviews: 1. Get this from a library! Design and analysis of reliability studies: the statistical evaluation of measurement errors. [G Dunn].   Date published July 3, by Fiona Middleton. Date updated: Janu Reliability and validity are concepts used to evaluate the quality of research. They indicate how well a method, technique or test measures something. Reliability is about the consistency of a measure, and validity is about the accuracy of a measure.

This chapter covers the design, analysis, and interpretation of validity and reliability studies, particularly for exposure measures used in epidemiologic studies. It covers both intramethod (e.g., test-retest) reliability studies and intermethod reliability studies (e.g., in which a measurement method to be used in an epidemiological study is compared to a more accurate but not perfect method). Structural reliability is about applying reliability engineering theories to buildings and, more generally, structural analysis. Reliability is also used as a probabilistic measure of structural safety. The reliability of a structure is defined as the probability of complement of failure (= −). The failure occurs when the total applied load is larger than the total resistance of the. A valuable companion book to Reliability: Modeling, Prediction, and Optimization, or any other textbook on the subject, the book features: Case studies from fields such as aerospace, automotive, mining, electronics, power plants, dikes, computer software, weapons, photocopiers, industrial furnaces, granite building cladding, chemistry, and. book review A Review of: “Statistical Evaluation of Measurement Errors: Design and Analysis of Reliability Studies” Second Edition, by G. Dunn, London: Arnold, , ISBN , Author: Neil Klar.