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Measures of Interobserver Agreement and Reliability, Second Edition
covers important issues related to the design and analysis of
reliability and agreement studies. It examines factors affecting
the degree of measurement errors in reliability generalization
studies and characteristics influencing the process of diagnosing
each subject in a reliability study. The book also illustrates the
importance of blinding and random selection of subjects. New to the
Second Edition New chapter that describes various models for
methods comparison studies New chapter on the analysis of
reproducibility using the within-subjects coefficient of variation
Emphasis on the definition of the subjects' and raters' population
as well as sample size determination This edition continues to
offer guidance on how to run sound reliability and agreement
studies in clinical settings and other types of investigations. The
author explores two ways of producing one pooled estimate of
agreement from several centers: a fixed-effect approach and a
random sample of centers using a simple meta-analytic approach. The
text includes end-of-chapter exercises as well as downloadable
resources of data sets and SAS code.
Analysis of Correlated Data with SAS and R: 4th edition presents an
applied treatment of recently developed statistical models and
methods for the analysis of hierarchical binary, count and
continuous response data. It explains how to use procedures in SAS
and packages in R for exploring data, fitting appropriate models,
presenting programming codes and results. The book is designed for
senior undergraduate and graduate students in the health sciences,
epidemiology, statistics, and biostatistics as well as clinical
researchers, and consulting statisticians who can apply the methods
with their own data analyses. In each chapter a brief description
of the foundations of statistical theory needed to understand the
methods is given, thereafter the author illustrates the
applicability of the techniques by providing sufficient number of
examples. The last three chapters of the 4th edition contain
introductory material on propensity score analysis, meta-analysis
and the treatment of missing data using SAS and R. These topics
were not covered in previous editions. The main reason is that
there is an increasing demand by clinical researchers to have these
topics covered at a reasonably understandable level of complexity.
Mohamed Shoukri is principal scientist and professor of
biostatistics at The National Biotechnology Center, King Faisal
Specialist Hospital and Research Center and Al-Faisal University,
Saudi Arabia. Professor Shoukri's research includes analytic
epidemiology, analysis of hierarchical data, and clinical
biostatistics. He is an associate editor of the 3Biotech journal, a
Fellow of the Royal Statistical Society and an elected member of
the International Statistical Institute.
Measures of Interobserver Agreement and Reliability, Second Edition
covers important issues related to the design and analysis of
reliability and agreement studies. It examines factors affecting
the degree of measurement errors in reliability generalization
studies and characteristics influencing the process of diagnosing
each subject in a reliability study. The book also illustrates the
importance of blinding and random selection of subjects. New to the
Second Edition New chapter that describes various models for
methods comparison studies New chapter on the analysis of
reproducibility using the within-subjects coefficient of variation
Emphasis on the definition of the subjects' and raters' population
as well as sample size determination This edition continues to
offer guidance on how to run sound reliability and agreement
studies in clinical settings and other types of investigations. The
author explores two ways of producing one pooled estimate of
agreement from several centers: a fixed-effect approach and a
random sample of centers using a simple meta-analytic approach. The
text includes end-of-chapter exercises as well as downloadable
resources of data sets and SAS code.
Analysis of Correlated Data with SAS and R: 4th edition presents an
applied treatment of recently developed statistical models and
methods for the analysis of hierarchical binary, count and
continuous response data. It explains how to use procedures in SAS
and packages in R for exploring data, fitting appropriate models,
presenting programming codes and results. The book is designed for
senior undergraduate and graduate students in the health sciences,
epidemiology, statistics, and biostatistics as well as clinical
researchers, and consulting statisticians who can apply the methods
with their own data analyses. In each chapter a brief description
of the foundations of statistical theory needed to understand the
methods is given, thereafter the author illustrates the
applicability of the techniques by providing sufficient number of
examples. The last three chapters of the 4th edition contain
introductory material on propensity score analysis, meta-analysis
and the treatment of missing data using SAS and R. These topics
were not covered in previous editions. The main reason is that
there is an increasing demand by clinical researchers to have these
topics covered at a reasonably understandable level of complexity.
Mohamed Shoukri is principal scientist and professor of
biostatistics at The National Biotechnology Center, King Faisal
Specialist Hospital and Research Center and Al-Faisal University,
Saudi Arabia. Professor Shoukri's research includes analytic
epidemiology, analysis of hierarchical data, and clinical
biostatistics. He is an associate editor of the 3Biotech journal, a
Fellow of the Royal Statistical Society and an elected member of
the International Statistical Institute.
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